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Octreotide, a synthetic analog of somatostatin, is widely utilized for its inhibitory effects on various hormones, including growth hormone, insulin, and glucagon. Its applications span conditions such as acromegaly, carcinoid tumors, and gastrointestinal bleeding due to its ability to reduce portal venous pressure. Additionally, it serves a crucial role in nuclear medicine imaging and the management of hepatorenal syndrome. We report a case of a 44-year-old man with type 2 diabetes mellitus (T2DM) and stage 5 chronic kidney disease (CKD), not yet on hemodialysis, who presented with persistent severe hypoglycemia. Despite multiple oral glucose administrations, his blood glucose levels remained critically low. The patient was treated with octreotide for sulfonylurea-induced hypoglycemia. However, he developed hyperkalemia as a side effect of octreotide treatment. Traditional therapies for sulfonylurea-induced hypoglycemia often involve intravenous and oral dextrose and glucagon, which may lead to recurrent hypoglycemia due to their stimulatory effects on insulin release. Octreotide directly inhibits insulin release from the pancreas, thus preventing rebound hypoglycemia. However, its administration in patients with renal impairment poses a risk of hyperkalemia due to its suppression of insulin-mediated cellular potassium uptake, and it should be used with caution. This case highlights the potential for life-threatening hyperkalemia induced by octreotide in non-dialysis CKD patients. Physicians must be vigilant about this side effect, particularly in patients with underlying renal impairment. Close monitoring of potassium levels and appropriate management strategies are essential to ensure the safe use of octreotide. This case aims to raise awareness and contribute to a better understanding of octreotide-induced hyperkalemia in CKD patients., Competing Interests: Human subjects: Consent was obtained or waived by all participants in this study. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Sasidharan et al.)

Diabetes mellitus (DM) is a common cause of chronic kidney disease (CKD), leading to the need for renal replacement therapy (RRT). RRT includes hemodialysis (HD), peritoneal dialysis (PD), kidney transplantation (KT), and medical management. As CKD advances, the management of DM may change as medication clearance, effectiveness, and side effects can be altered due to decreasing renal clearance. Medications like metformin that were safe to use early in CKD may build up toxic levels of metabolites in advanced CKD. Other medications, like sodium-glucose co-transporter 2 inhibitors, which work by excreting glucose in the urine, may not be able to work effectively in advanced CKD due to fewer working nephrons. Insulin breakdown may take longer, and both formulation and dosing may need to be changed to avoid hypoglycemia. While DM control contributes to CKD progression, effective DM control continues to be important even after patients have been placed on RRT. Patients on RRT are frequently taken care of by a team of providers, including the primary care physician, both in and outside the hospital. Non-nephrologists who are involved with the care of a patient treated with RRT need to be adept at managing DM in this population. This paper aims to outline the management of type 2 DM in advanced CKD., Competing Interests: Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Mallappallil et al.)

Heart disease remains a prominent global health concern, with cardiovascular disease (CVD) standing as a leading cause of death worldwide. Preventing heart disease not only decreases the risk of premature death but also mitigates complications like heart attacks, strokes, and arrhythmias, thereby enhancing overall health and quality of life. The economic burden of heart disease treatment highlights the importance of implementing preventive measures, such as lifestyle changes and early interventions, which can alleviate healthcare costs. These strategies, targeting risk factors like hypertension (HTN), diabetes mellitus (DM), dyslipidemia, and obesity, not only prevent heart disease but also reduce the risk of other health issues. Herein, this review covers various preventive measures, including dietary interventions, exercise, controlling HTN, DM, cholesterol, and weight, smoking cessation, and pharmacological interventions. By critically analyzing the guidelines and leveraging robust data alongside variations in recommendations, this review aims to elucidate effective primary prevention strategies for CVD., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Branigan et al.)

Background: AKI is a common sequela of coronavirus disease 2019 (COVID-19). However, few studies have focused on AKI treated with RRT (AKI-RRT)., Methods: We conducted a multicenter cohort study of 3099 critically ill adults with COVID-19 admitted to intensive care units (ICUs) at 67 hospitals across the United States. We used multivariable logistic regression to identify patient-and hospital-level risk factors for AKI-RRT and to examine risk factors for 28-day mortality among such patients., Results: A total of 637 of 3099 patients (20.6%) developed AKI-RRT within 14 days of ICU admission, 350 of whom (54.9%) died within 28 days of ICU admission. Patient-level risk factors for AKI-RRT included CKD, men, non-White race, hypertension, diabetes mellitus, higher body mass index, higher d-dimer, and greater severity of hypoxemia on ICU admission. Predictors of 28-day mortality in patients with AKI-RRT were older age, severe oliguria, and admission to a hospital with fewer ICU beds or one with greater regional density of COVID-19. At the end of a median follow-up of 17 days (range, 1-123 days), 403 of the 637 patients (63.3%) with AKI-RRT had died, 216 (33.9%) were discharged, and 18 (2.8%) remained hospitalized. Of the 216 patients discharged, 73 (33.8%) remained RRT dependent at discharge, and 39 (18.1%) remained RRT dependent 60 days after ICU admission., Conclusions: AKI-RRT is common among critically ill patients with COVID-19 and is associated with a hospital mortality rate of >60%. Among those who survive to discharge, one in three still depends on RRT at discharge, and one in six remains RRT dependent 60 days after ICU admission., (Copyright © 2021 by the American Society of Nephrology.)

Universally, the volume of data has increased, with the collection rate doubling every 40 months, since the 1980s. "Big data" is a term that was introduced in the 1990s to include data sets too large to be used with common software. Medicine is a major field predicted to increase the use of big data in 2025. Big data in medicine may be used by commercial, academic, government, and public sectors. It includes biologic, biometric, and electronic health data. Examples of biologic data include biobanks; biometric data may have individual wellness data from devices; electronic health data include the medical record; and other data demographics and images. Big data has also contributed to the changes in the research methodology. Changes in the clinical research paradigm has been fueled by large-scale biological data harvesting (biobanks), which is developed, analyzed, and managed by cheaper computing technology (big data), supported by greater flexibility in study design (real-world data) and the relationships between industry, government regulators, and academics. Cultural changes along with easy access to information via the Internet facilitate ease of participation by more people. Current needs demand quick answers which may be supplied by big data, biobanks, and changes in flexibility in study design. Big data can reveal health patterns, and promises to provide solutions that have previously been out of society's grasp; however, the murkiness of international laws, questions of data ownership, public ignorance, and privacy and security concerns are slowing down the progress that could otherwise be achieved by the use of big data. The goal of this descriptive review is to create awareness of the ramifications for big data and to encourage readers that this trend is positive and will likely lead to better clinical solutions, but, caution must be exercised to reduce harm., Competing Interests: Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2020.)

Evidence suggests a link between opioid use and kidney disease. This review summarizes the known renal manifestations of opioid use including its role in acute and chronic kidney injury. Both the direct and indirect effects of the drug, and the context which leads to the development of renal failure, are explored. While commonly used safely for pain control and anesthesia in those with kidney disease, the concerns with respect to side effects and toxicity of opioids are addressed. This is especially relevant with the worldwide increase in the use of opioids for medical and recreational use., Competing Interests: The authors declare no conflict of interest.

The use of synthetic cannabinoids (SCBs) is associated with many severe adverse effects that are not observed with marijuana use. We report a unique case of a patient who developed rhabdomyolysis and acute kidney injury (AKI) requiring dialysis after use of SCBs combined with quetiapine. Causes for the different adverse effects profile between SCBs and marijuana are not defined yet. Cases reported in literature with SCBs use have been associated with reversible AKI characterized by acute tubular necrosis and interstitial nephritis. Recent studies have showed the involvement of cytochromes P450s (CYPs) in biotransformation of SCBs. The use of quetiapine which is a substrate of the CYP3A4 and is excreted (73%) as urine metabolites may worsen the side effect profiles of both quetiapine and K2. SCBs use should be included in the differential diagnosis of AKI and serum Creatinine Phosphokinase (CPK) level should be monitored. Further research is needed to identify the mechanism of SCBs nephrotoxicity.

Chronic kidney disease (CKD) is a very common clinical problem in elderly patients and is associated with increased morbidity and mortality. As life expectancy continues to improve worldwide, there is a rising prevalence of comorbidities and risk factors such as hypertension and diabetes predisposing to a high burden of CKD in this population. The body of knowledge on the approach to elderly patient with CKD is still evolving. Thus, this review seeks to explore the epidemiology and to discuss current understanding of challenges in the diagnosis and management of elderly patients CKD.