ABSTRACT
PURPOSE OF THE REVIEW: This review aims to assess the variability in considering hypercholesterolemia for cardiovascular risk stratification in the general population. Recent literature on the integration of hypercholesterolemia into clinical risk scores and its interaction with other risk factors will be explored. RECENT FINDINGS: The impact of hypercholesterolemia on risk estimation varies among different cardiovascular risk calculators. Elevated lipid levels during early life stages contribute to atherosclerotic plaque development, influencing disease severity despite later treatment initiation. The interplay between low-density lipoprotein cholesterol (LDLc), inflammatory markers and non-LDL lipid parameters enhances cardiovascular risk stratification. Studies have also examined the role of coronary artery calcium (CAC) score as a negative risk marker in populations with severe hypercholesterolemia. Furthermore, polygenic risk scores (PRS) may aid in diagnosing non-monogenic hypercholesterolemia, refining cardiovascular risk stratification and guiding lipid-lowering therapy strategies. Understanding the heterogeneity in risk estimation and the role of emerging biomarkers and imaging techniques is crucial for optimizing cardiovascular risk prediction and guiding personalized treatment strategies in individuals with hypercholesterolemia.
Subject(s)
Cardiovascular Diseases , Hypercholesterolemia , Humans , Hypercholesterolemia/complications , Hypercholesterolemia/epidemiology , Hypercholesterolemia/diagnosis , Risk Assessment/methods , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/etiology , Heart Disease Risk Factors , Biomarkers/blood , Cholesterol, LDL/blood , Risk FactorsABSTRACT
BACKGROUND AND AIMS: Cholemic nephropathy is a cause of acute kidney injury occurring in patients with jaundice. The aim of this study was to evaluate early renal function impairment in patients with mild acute hyperbilirubinemia in the absence of alterations of the common parameters used in clinical practice (serum creatinine or urea) and with normal renal morphology. We studied urinary biomarkers of tubular damage urinary neutrophil gelatinase-associated lipocalin (u-NGAL), urinary beta-2-microglobulin (u-B2M), urinary osteopontin (u-OPN), urinary trefoil factor 3 (u-TFF3) and urinary Cystatin C (u-Cys). METHODS: This is a case-control study investigating the following urinary biomarkers of tubular damage: u-NGAL, u-B2M, u-OPN, u-TFF3 and u-Cys, in patients with mild acute hyperbilirubinemia. Seventy-four patients were included in this study: 36 patients with jaundice and 38 patients without jaundice. RESULTS: Subjects with jaundice (total bilirubin 12.4 ± 7.3 mg/dL) showed higher u-NGAL, u-B2M, u-OPN, u-TFF3 and u-Cys compared with controls. After logistic regression analyses, including the following independent variables: age, estimated Glomerular Filtration Rate (eGFR), haemoglobin, diabetes, hypertension and jaundice, we observed a higher risk of elevated u-NGAL values (OR = 3.8, 95% CI 1.07-13.5, p = .03) and u-B2M (OR = 9.4, 95% CI 2.3-38.9, p = .0018) in jaundiced subjects. Moreover, urinary biomarkers had a direct correlation with serum cholestasis indexes. CONCLUSIONS: This study demonstrated increased urinary biomarkers of tubular damage (u-NGAL, u-B2M, u-OPN, u-TFF3, and u-Cys) in patients with mild hyperbilirubinemia in comparison with a control group. These findings suggest early renal tubular damage in the absence of alterations of the normal parameters used in clinical practice (eGFR, serum urea and renal morphology).
ABSTRACT
The increasing utilization of Glucagon-like Peptide-1 receptor agonists (GLP-1 RAs) in managing type 2 diabetes mellitus has raised interest regarding their impact on thyroid function. In fact, while these agents are well known for their efficacy in glycemic control and weight management, their association with thyroid disorders requires clarification due to the complex interplay between thyroid hormones and metabolic pathways. Thyroid dysfunction commonly co-occurs with metabolic conditions such as diabetes and obesity, suggesting a profound interconnection between these systems. This review aims to contribute to a deeper understanding of the interaction between GLP-1 RAs and thyroid dysfunction and to clarify the safety of GLP-1 RAs in diabetic patients with thyroid disorders. By synthesizing existing evidence, this review highlights that, despite various studies exploring this topic, current evidence is inconclusive, with conflicting results. It is important to note that these drugs are relatively recent, and longer-term studies with larger sample sizes are likely needed to draw clearer conclusions. Currently, no existing guidelines provide definitive directions on this clinical issue; however, it is advisable to include thyroid function tests in the routine screening of diabetic patients, particularly those treated with GLP-1 Ras, with the goal of optimizing patient care and management.
Subject(s)
Diabetes Mellitus, Type 2 , Glucagon-Like Peptide-1 Receptor , Thyroid Gland , Humans , Glucagon-Like Peptide-1 Receptor/agonists , Glucagon-Like Peptide-1 Receptor/metabolism , Thyroid Gland/drug effects , Thyroid Gland/metabolism , Thyroid Gland/pathology , Diabetes Mellitus, Type 2/drug therapy , Diabetes Mellitus, Type 2/metabolism , Thyrotropin/metabolism , Hypoglycemic Agents/pharmacology , Hypoglycemic Agents/therapeutic use , Neoplasms/drug therapy , Neoplasms/metabolism , Neoplasms/pathology , Thyroid Neoplasms/drug therapy , Thyroid Neoplasms/metabolism , Thyroid Neoplasms/pathologyABSTRACT
Fatty liver disease has been identified as a marker of malnutrition in different clinical settings. Recently, the COntrolling NUTritional status score (CONUT score) emerged as a promising tool for malnutrition assessment. Our aim was to evaluate short-term outcomes among patients with malnutrition-related liver steatosis in an Internal Medicine department. Furthermore, we evaluated the association of the CONUT score with malnutrition-related liver steatosis. Data from 247 patients hospitalized in an Internal Medicine department were retrospectively collected. The study population was stratified into three groups based on hepatic radiodensity assessed with computed tomography: mild steatosis (≥56.1 HU), moderate steatosis (between 49.7 and 56 HU), and severe steatosis (≤49.6 HU). We then calculated the CONUT score. Severe steatosis patients had higher in-hospital mortality (18.2 vs. 15.5%) and longer in-hospital stays compared with the mild steatosis group (length of in-hospital stay longer than 12 days: 45% vs. 40%). Logistic regression analysis showed that severe steatosis was not significantly associated with in-hospital all-cause death, while a high CONUT score was an independent risk factor for sepsis. We found an independent relationship between malnutrition-associated liver steatosis and the CONUT score. These results identified the CONUT score as a tool for nutritional assessment of hospitalized patients.
Subject(s)
Fatty Liver , Hospital Mortality , Internal Medicine , Malnutrition , Nutrition Assessment , Nutritional Status , Humans , Male , Malnutrition/complications , Female , Aged , Retrospective Studies , Middle Aged , Fatty Liver/complications , Length of Stay/statistics & numerical data , Risk Factors , Aged, 80 and over , Severity of Illness Index , Tomography, X-Ray Computed , Sepsis/complications , Sepsis/mortalityABSTRACT
Background and aims: FH women are less likely to receive intensive statin treatment and to obtain a 50% reduction of LDL-C from baseline compared to men with FH. SLCO1B1 rs4149056 might influence statin therapy compliance and thus LDL-C target achievement. Our aim was to evaluate the impact of SLCO1B1 rs4149056 on LDL-C target achievement after lipid lowering therapy (LLT) optimization in men and women with FH. Methods: This was a retrospective observational study involving 412 FH subjects with a probable or defined clinical diagnosis of FH who had had genetic analysis from June 2016 to September 2022. Biochemical analysis was obtained from all subjects at baseline and at the last follow-up after LLT optimization. Results: After LLT optimization the percentage of FH subjects on high-intensity statins decreased from the M/SLCO1B1- group to the W/SLCO1B1+ group and the same was found in LDL-C target distribution (for both p for trend < 0.01). The prevalence of SASE fear increased from the M/SLCO1B1- group to the W/SLCO1B1+ group and the same was observed in reported myalgia distribution (for both p for trend < 0.01). Logistic regression analysis showed that the W/SCLO1B1-, M/SCLO1B1+ and W/SCLO1B1+ groups were inversely associated with LDL-C target achievement (p for trend < 0.001) and the W/SCLO1B1+ group exhibited the strongest association. Conclusion: A low prevalence of FH women with SLCO1B1 rs4149056 were on high intensity statins and they rarely achieved LDL-C target. The genotype effect of SLCO1B1 rs4149056 could be more pronounced in FH women than men.
Subject(s)
Hydroxymethylglutaryl-CoA Reductase Inhibitors , Hyperlipoproteinemia Type II , Liver-Specific Organic Anion Transporter 1 , Female , Humans , Male , Cholesterol, LDL , Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Hyperlipoproteinemia Type II/drug therapy , Hyperlipoproteinemia Type II/genetics , Liver-Specific Organic Anion Transporter 1/genetics , Retrospective Studies , Treatment OutcomeABSTRACT
BACKGROUND: Long non-coding RNAs (lncRNAs) could be attractive circulating biomarkers for cardiovascular risk stratification in subjects at high atherosclerotic cardiovascular disease risk such as familial hypercholesterolaemia (FH). Our aim was to investigate the presence of lncRNAs carried by high-density lipoprotein (HDL) in FH subjects and to evaluate the associations of HDL-lncRNAs with lipoproteins and mechanical vascular impairment assessed by pulse wave velocity (PWV). METHODS: This was a retrospective observational study involving 94 FH subjects on statin treatment. Biochemical assays, HDL purification, lncRNA and PWV analyses were performed in all subjects. RESULTS: LncRNA HIF1A-AS2, LASER and LEXIS were transported by HDL; moreover, HDL-lncRNA LEXIS was associated with Lp(a) plasma levels (p < .01). In a secondary analysis, the study population was stratified into two groups based on the Lp(a) median value. The high-Lp(a) group exhibited a significant increase of PWV compared to the low-Lp(a) group (9.23 ± .61 vs. 7.67 ± .56, p < .01). While HDL-lncRNA HIF1A-AS2 and LASER were similar in the two groups, the high-Lp(a) group exhibited a significant downregulation of HDL-lncRNA LEXIS compared to the low-Lp(a) group (fold change -4.4, p < .0001). Finally, Lp(a) and HDL-lncRNA LEXIS were associated with PWV (for Lp(a) p < .01; for HDL-lncRNA LEXIS p < .05). CONCLUSIONS: LncRNA HIF1A-AS2, LASER and LEXIS were transported by HDL; moreover, significant relationships of HDL-lncRNA LEXIS with Lp(a) levels and PWV were found. Our study suggests that HDL-lncRNA LEXIS may be useful to better identify FH subjects with more pronounced vascular damage.
Subject(s)
Atherosclerosis , Hyperlipoproteinemia Type II , RNA, Long Noncoding , Humans , Atherosclerosis/genetics , Hyperlipoproteinemia Type II/genetics , Lipoprotein(a) , Lipoproteins, HDL , Pulse Wave Analysis , Risk Factors , Retrospective StudiesABSTRACT
BACKGROUND: In the last years, the classical pattern of diabetic kidney disease (DKD) has been partially overcome, because of the uncovering of a new DKD phenotype with significant renal dysfunction without presence of albuminuria: the non-albuminuric DKD (NA-DKD). To date, the cardiovascular risk associated with this phenotype is still debated. We investigated the cardiovascular risk and renal injury profile of NA-DKD subjects in comparison with other DKD phenotypes. METHODS: Pulse wave velocity (PWV), intima-media thickness, presence of carotid atherosclerotic plaque, renal resistive index (RRI), and a panel of urinary biomarkers of kidney injury were evaluated in 160 subjects with type 2 diabetes, stratified according to estimated glomerular filtration rate (eGFR) and urinary albumin to creatinine ratio (UACR) into four groups: controls (UACR < 30 mg/g and eGFR ≥ 60 mL/min/1.73 m2), A-DKD (Albuminuric-DKD, UACR ≥ 30 mg/g and eGFR ≥ 60 mL/min/1.73 m2), NA-DKD (UACR < 30 mg/g and eGFR < 60 mL/min/1.73 m2), AL-DKD (Albuminuric and Low eGFR-DKD; UACR ≥ 30 mg/g and eGFR < 60 mL/min/1.73 m2). RESULTS: Subjects with NA-DKD showed a higher PWV (11.83 ± 3.74 m/s vs. 10.24 ± 2.67 m/s, P = 0.045), RRI (0.76 ± 0.11 vs. 0.71 ± 0.09, P = 0.04), and prevalence of carotid atherosclerotic plaque (59% vs. 31%, P = 0.009) compared with controls. These characteristics were similar to those of subjects with AL-DKD, whereas the profile of A-DKD subjects was closer to controls. After multiple regression analyses, we found that RRI, that is in turn influenced by eGFR (ß = - 0.01, P = 0.01), was one of the major determinants of PWV (ß = 9.4, P = 0.02). Urinary TreFoil Factor 3, a marker of tubular damage, was higher in NA-DKD subjects vs. controls (1533.14 ± 878.31 ng/mL vs. 1253.84 ± 682.17 ng/mL, P = 0.047). Furthermore, after multiple regression analyses, we found that urinary osteopontin was independently associated with PWV (ß = 2.6, P = 0.049) and RRI (ß = 0.09, P = 0.006). CONCLUSIONS: Our data showed a worse cardiovascular and renal injury profile in NA-DKD subjects. This finding emphasizes the central role of eGFR in the definition of cardiovascular risk profile of diabetic subjects together with albuminuria.
Subject(s)
Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Diabetic Nephropathies , Plaque, Atherosclerotic , Humans , Diabetic Nephropathies/diagnosis , Diabetic Nephropathies/epidemiology , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Albuminuria/diagnosis , Albuminuria/epidemiology , Albuminuria/complications , Plaque, Atherosclerotic/complications , Carotid Intima-Media Thickness , Pulse Wave Analysis , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/complications , Risk Factors , Kidney , Glomerular Filtration Rate , Heart Disease Risk FactorsABSTRACT
The classic description of diabetic kidney disease (DKD) involves progressive stages of glomerular hyperfiltration, microalbuminuria, proteinuria, and a decline in the estimated glomerular filtration rate (eGFR), leading to dialysis. In recent years, this concept has been increasingly challenged as evidence suggests that DKD presents more heterogeneously. Large studies have revealed that eGFR decline may also occur independently from the development of albuminuria. This concept led to the identification of a new DKD phenotype: non-albuminuric DKD (eGFR < 60 mL/min/1.73 m2, absence of albuminuria), whose pathogenesis is still unknown. However, various hypotheses have been formulated, the most likely of which is the acute kidney injury-to-chronic kidney disease (CKD) transition, with prevalent tubular, rather than glomerular, damage (typically described in albuminuric DKD). Moreover, it is still debated which phenotype is associated with a higher cardiovascular risk, due to contrasting results available in the literature. Finally, much evidence has accumulated on the various classes of drugs with beneficial effects on DKD; however, there is a lack of studies analyzing the different effects of drugs on the various phenotypes of DKD. For this reason, there are still no specific guidelines for therapy in one phenotype rather than the other, generically referring to diabetic patients with CKD.
Subject(s)
Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Diabetic Nephropathies , Renal Insufficiency, Chronic , Humans , Diabetic Nephropathies/pathology , Diabetes Mellitus, Type 2/complications , Risk Factors , Albuminuria , Renal Dialysis , Renal Insufficiency, Chronic/pathology , Heart Disease Risk FactorsABSTRACT
Over the last three years, the Coronavirus-19 disease has been a global health emergency, playing a primary role in the international scientific community. Clinical activity and scientific research have concentrated their efforts on facing the pandemic, allowing the description of novel pathologies correlated to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), such as the Multisystemic Inflammatory Syndrome in Children and Adults (MIS-C, MIS-A). Conversely, this shift of attention to COVID-19 disease and its complications could, in some cases, have delayed and underestimated the diagnosis of diseases not associated with SARS-CoV-2, including rare diseases. Here we describe the diagnostic process that led to the definition of a rare vasculitis in a young woman with a recent clinical history of SARS-CoV-2.
ABSTRACT
Statins are the cornerstone of lipid-lowering therapies effective for cardiovascular risk reduction. Although they are generally well tolerated, statin intolerance (SI) is frequent in clinical practice, and it is usually related to the onset of muscle symptoms, which are defined under the acronym SAMS (Statin-Associated Muscle Side Effects). These side effects are responsible for statin treatment discontinuation that results in increased cardiovascular risk. The National Lipid Association (NLA) has recently provided an updated definition of statin intolerance, and a distinction between complete and partial statin intolerance has been reported. The evaluation of symptom severity and the presence of muscle damage biomarker alterations make it essential to adopt a patient-centered approach aimed at obtaining a personalized therapeutic strategy. Firstly, it could be useful to administer a different statin, reduce the dosage or adopt an alternate dosage regimen. However, some patients are unable to tolerate any statin at every dosage, or despite taking statins at the maximum tolerated dose, they fail to achieve the recommended LDL-C target, and thus it is necessary to introduce a non-statin hypolipidemic treatment. Ezetimibe, proprotein-convertase subtilisin/kexin type 9 (PCSK9) inhibitors such as monoclonal antibodies (alirocumab and evolocumab) or RNA messenger silencing (inclisiran), bempedoic acid or nutraceuticals are non-statin lipid-lowering therapies that could be used as an alternative or in addition to statins to achieve an early and sustained LDL-C reduction in clinical practice. In this review, we evaluated SI management focusing on non-statin lipid lowering therapies and their implications in lipid lowering approaches in clinical practice.