Artificial intelligence (AI) is increasingly used in many medical specialties. However, nephrology has lagged in adopting and incorporating machine learning techniques. Nephrology is well positioned to capitalize on the benefits of AI. The abundance of structured clinical data, combined with the mathematical nature of this specialty, makes it an attractive option for AI applications. AI can also play a significant role in addressing health inequities, especially in organ transplantation. It has also been used to detect rare diseases such as Fabry disease early. This review article aims to increase awareness on the basic concepts in machine learning and discuss AI applications in nephrology. It also addresses the challenges in integrating AI into clinical practice and the need for creating an AI-competent nephrology workforce. Even though AI will not replace nephrologists, those who are able to incorporate AI into their practice effectively will undoubtedly provide better care to their patients. The integration of AI technology is no longer just an option but a necessity for staying ahead in the field of nephrology. Finally, AI can contribute as a force multiplier in transitioning to a value-based care model.

Candidemia and invasive candidiasis represent critical healthcare-associated fungal infections that pose substantial challenges to medical systems worldwide. These conditions arise when fungi from the Candida genus infiltrate the bloodstream or deeper tissues, leading to a range of clinical manifestations. Among the various species, Candida albicans continues to hold its position as the most frequently encountered causative agent, largely due to its prevalence and adaptability within human hosts. However, it is far from the only significant player; other Candida species, such as Candida glabrata, Candida parapsilosis, and the particularly concerning Candida auris, contribute significantly to the disease burden and exhibit varying dominance depending on geographic regions. The clinical presentation of these infections can differ widely, spanning from subtle, almost imperceptible symptoms in some patients to severe, life-threatening fulminant sepsis in others, often accompanied by alarmingly high mortality rates that underscore the urgency of effective management strategies. Several well-established risk factors predispose individuals to developing invasive candidiasis and candidemia. Breaches in the body’s natural barriers—such as the skin (cutaneous) or the gastrointestinal (GI) tract—provide entry points for these opportunistic pathogens. Additionally, deficiencies in the host’s immune responses, whether due to medical treatments, underlying diseases, or genetic predispositions, heighten vulnerability to infection. Among the diverse Candida species, Candida auris has emerged as an especially troubling entity in recent years. This multidrug-resistant species is notorious for its resistance to standard antifungal therapies, which complicates treatment efforts and contributes to elevated morbidity and mortality rates. Its rapid global spread has positioned it as a formidable public health threat, prompting heightened surveillance and research into its behavior and control.

As the use of wearable devices continues to expand, their integration into various aspects of healthcare becomes increasingly prevalent. Indeed, significant advancements have been made in the field of cardiology through the application of wearable technology to monitor heart rate, rhythm, and other biological signals. This review examines the various applications of wearable technology in cardiology, with the goal of improving patient care. We evaluate the accuracy and functionality of existing wearable electrocardiograms, defibrillators, blood pressure monitors, fitness trackers, activity trackers, and sleep trackers, including their roles in cardiac rehabilitation. Furthermore, we highlight the significant advancements in wearable electrocardiograms, demonstrating their accuracy comparable to that of traditional monitoring devices, as shown by studies such as the Apple Heart Study and the Fitbit Heart Study. Recent research suggests that wearable electrocardiograms are comparable to conventional monitoring devices in terms of performance and can help reduce healthcare costs. However, as technological improvements continue to evolve, challenges related to accessibility, patient privacy, and the need for improved accuracy are also emerging. This review highlights recent advancements that aim to address these challenges. Nonetheless, further research is crucial to critically assess and identify shortcomings, as wearable devices possess significant potential to enhance cardiovascular and overall health.

Diabetic kidney disease (DKD) causes a progressive decline in renal function, leading to end-stage kidney disease (ESKD), and increases the likelihood of cardiovascular events and mortality. The recent introduction of the sodium-glucose co-transporter 2 (SGLT-2) inhibitor has been a game changer in managing chronic kidney disease (CKD) and congestive heart failure (CHF). These agents not only slow down the progression of kidney disease but also have cardioprotective benefits, including for patients with congestive heart failure and atherosclerotic cardiovascular disease. Some evidence suggests that they can decrease the risk of stroke as well. This review aims to provide a comprehensive overview of the role of SGLT-2 inhibitors in CKD and CHF and their efficacy in stroke prevention. This review includes a comparison with glucagon-like peptide-1 (GLP-1) agonist and finerenone; focuses on safety data, the potential benefits beyond glycemic control, and a review of significant trials; and provides guidance in clinical practice.

Background/Objectives: Patients with infective endocarditis (IE) are more susceptible to acute kidney injury (AKI). The presence of AKI increases in-hospital complications in these patients. Methods: The 2016–2020 National Inpatient Sample (NIS) database consisting of adult admissions with IE and AKI was utilized. The primary outcome was all-cause inpatient mortality. Secondary outcomes included fluid and electrolyte disorders, stroke, septic arterial embolism, septic shock, cardiogenic shock, valve surgery, vasopressor support, mechanical ventilation, length of stay (LOS), and total hospital charges. Results: Out of a total of 63,725 adult admissions with IE, 16,295 (25.5%) admissions had AKI. Patients with AKI were more likely to be males (63% vs. 57.6%, p < 0.001) and older (55.8 vs. 50.4, p < 0.001). A higher proportion of these patients were admitted to large hospitals (60.6 vs. 55.3%, p < 0.001) and urban teaching hospitals (81.9 vs. 75%, p < 0.001). Patients with AKI had higher LOS (17 ± 16.1 vs. 11.32 ± 11.7, p < 0.001) and hospital charges (USD 239,046.8 ± 303,977.3 vs. USD 124,857.6 ± 192,883.5, p < 0.001). Multivariable analysis showed higher odds of all-cause inpatient mortality (aOR: 2.22, 95% CI: 1.81–2.73, p < 0.001). They also had higher risk for fluid and electrolyte disorder (aOR: 2.31, 95% CI: 2.10–2.53, p < 0.001), septic arterial embolism (aOR: 1.61, 95% CI: 1.42–1.84, p < 0.001), septic shock (aOR: 3.78, 95% CI: 2.97–4.82, p < 0.001), cardiogenic shock (OR: 3.37, 95% CI: 2.65–4.28, p < 0.001), valve surgery (aOR: 1.52, 95% CI: 1.35–1.71, p < 0.001), vasopressor requirement (aOR: 1.99, 95% CI: 1.52–2.60, p < 0.001), and mechanical ventilation (aOR: 2.75, 95% CI: 2.33–3.24, p < 0.001). The association with stroke was elevated but not statistically significant. Conclusions: This large retrospective analysis demonstrated that patients with AKI and infective endocarditis had increased mortality, adverse hospital outcomes, increased LOS, and hospital costs.

(1) Background: Renal insufficiency is a risk factor for cardiac implantable electronic device (CIED) infection. (2) Methods: A comprehensive search was conducted from multiple electronic databases to identify studies. Using the random effects model, we calculated the pooled rates of CIED infection and their 95% confidence intervals. We also calculated the pooled odds ratios to determine the risk of CIED infections due to chronic kidney disease (CKD) and end-stage renal disease (ESRD). We utilized the Cochran Q and I2 statistics to detect and quantify heterogeneity. (3) Results: A total of 17 studies comprising 359,784 patients with renal insufficiency were added to the meta-analysis. Out of these, 263,819 were CKD patients and 89,617 were ESRD patients. The pooled rate of CIED infection in patients with CKD was 4.3% (95% CI: 2–8.8; I2: 95.7), and in patients with ESRD, it was 4.8% (95% CI: 2.6–8.7; I2: 99.4). The pooled risk of CIED infection in the CKD population was OR 2.5 (95% CI: 1.9–3.3; p < 0.001; I2: 21.1), and in the ESRD population, it was OR 2.4 (95% CI: 1.01–5.7; p = 0.046; I2: 88.8). ESRD was associated with higher mortality, OR 2.5 (95% CI: 1.4–4.4.8; p = 0.001; I2: 95). (4) Conclusions: The presence of renal insufficiency increases the number of CIED infections. In particular, patients with ESRD have an increased risk of mortality.