Contrast-Induced Nephropathy in Interventional Cardiology: Incidence, Risk Factors, and Identification of High-Risk Patients.

AIM: This study aimed to study contrast-induced nephropathy (CIN) or more recent nomenclature contrast-associated acute kidney injury (CI-AKI) in patients undergoing percutaneous coronary procedures, evaluating CIN incidence, risk factors (RFs), and high-risk patients with CIN.  Methods: This is a prospective, observational, unicentric trial of patients who underwent coronary angiography and/or percutaneous coronary intervention (PCI) in the University Hospital Center (UHC) "Mother Teresa" in Tirana, Albania, during 2016-2018. CIN was defined as an increase of 25% and/or by 0.5 mg/dL of serum creatinine (SCr) and high-risk patients with CIN as an increase by 50% and/or by 2 mg/dL and/or need for dialysis compared to the basal pre-procedural values. We evaluated RFs for CIN: preexisting renal lesion (PRL), heart failure (HF), age, diabetes mellitus (DM), anemia, and contrast quantity.  Results: The incidence of CIN resulted in 14.4%. HF, PRL, and age ≥65 years resulted in independent RFs for CIN, whereas anemia, DM, and contrast quantity >100 mL did not. PRL proved to be the most important RF for CIN, whereas HF was the only independent RF for high-risk CIN patients. CONCLUSIONS: The incidence of CIN coincides with the results in the literature. PRL, HF, and age ≥65 years resulted in independent RFs for CIN; more and larger trials are needed to evaluate DM, anemia, and contrast quantity related to their impact on CIN. High-risk patients with CIN represent the most problematic patients of this pathology.

Imaging, Health Record, and Artificial Intelligence: Hype or Hope?

PURPOSE OF REVIEW: The review is focused on "digital health", which means advanced analytics based on multi-modal data. The "Health Care Internet of Things", which uses sensors, apps, and remote monitoring could provide continuous clinical information in the cloud that enables clinicians to access the information they need to care for patients everywhere. Greater standardization of acquisition protocols will be needed to maximize the potential gains from automation and machine learning. RECENT FINDINGS: Recent artificial intelligence applications on cardiac imaging will not be diagnosing patients and replacing doctors but will be augmenting their ability to find key relevant data they need to care for a patient and present it in a concise, easily digestible format. Risk stratification will transition from oversimplified population-based risk scores to machine learning-based metrics incorporating a large number of patient-specific clinical and imaging variables in real-time beyond the limits of human cognition. This will deliver highly accurate and individual personalized risk assessments and facilitate tailored management plans.

Differences Among Body Mass Index (BMI) Groups in Patients Undergoing First Elective Percutaneous Coronary Intervention.

BACKGROUND AND PURPOSE: Body Mass Index (BMI) is known to be an independent risk factor for hypertension, type 2 diabetes mellitus, dyslipidemia and various cardiovascular diseases. Our aim was to investigate the differences among BMI groups in patients undergoing first elective PCI. METHODS: 781 consecutive patients who underwent their first-time elective PCI from September 2011 to December 2013 in the Department of Cardiology were enrolled in the study. The patients with BMI < 18.5 kg/m(2) or > 50 kg/m(2) and those who had previously undergone revascularization were excluded from the study. Patients were categorized according to their BMI groups. BMI 18.5 - 24.9 kg/m(2) normal group, 25 - 29.9 kg/m(2) overweight group and > 30 kg/m(2) obese group. We studied the demographic, angiographic, and interventional differences between BMI groups. RESULTS: Compared with normal weight individuals, those obese were younger (61.9 ±10.34 vs. 58.41 ± 8.01 p = 0.0006), had higher prevalence of diabetes mellitus (46.4% vs. 26.6% p = 0.0001), dyslipidemia (77.5% vs. 65.4% p=0.0134) and hypertension (1.3% vs. 81.3% p=0.0067). There was a greater use of calcium channel blockers (CCBs) and Angiotensin Enzyme Inhibitors (ACEIs)/Angiotensin Receptor Blockers (ARBs) in obese individuals but it was not statistically significant. Obese individuals were associated with higher risk anatomy (3-Vessel CAD or LM) compared to normal individuals but not statistically significant (18.8% vs. 14.2% p=0.25). Obese patients were associated with a higher length of stents/person used (36.7 ± 22.02 vs. 31.7 ± 17.48 p=0.016) and also a larger diameter of stents/person used (3.14 ± 0.4 vs. 2.98 ± 0.33 p=0.0001) compared to normal individuals. CONCLUSIONS: Patients with a higher BMI are younger and have diabetes mellitus, hypertension and dyslipidemia more frequently. Patients with a higher BMI have a higher length and larger diameter of stents/person used, probably related to a more extensive coronary artery disease.