Individual Risk Assessment Research Articles

Validation of the HFA-ICOS risk assessment tool with real-world data from a prospective cohort of breast cancer patients in treatment with anthracyclines and trastuzumab

Abstract Background The increasing prevalence of cancer therapy-related cardiovascular toxicity (CTRCD) poses a significant challenge to patient management, necessitating accurate risk assessments. Previous methodologies have struggled with precise risk stratification, partly due to varying definitions of CTRCD and the specificity of cancer treatments. Purpose This study aimed to evaluate the assessment tool proposed by the Heart Failure Association and the International Cardio-Oncology Society (HFA-ICOS) in predicting the risk of CTRCD in patients undergoing anthracycline and trastuzumab treatment for breast cancer at a national reference center. Methods A prospective cohort study was conducted, encompassing 172 patients treated from January 2022 to July 2023. Patients were assessed at baseline, three months, and six months post-treatment initiation, with exclusion criteria including baseline left ventricular ejection fraction (LVEF) <50%, history of heart failure, and stage IV breast cancer. The study utilized the HFA-ICOS tool for risk stratification and CTRCD was defined with the current criteria of the European Society of Cardiology guideline. Descriptive statistics were calculated, and incidence rates and Cox proportional-hazards models were developed according to the risk category. Results In our study, 138 (80.2%) patients were classified as low risk, 23 (13.4%) as moderate risk and 11 (6.4%) as high risk. We identified 81 (47.1%) patients that developed CTRCD in follow-up. Descriptive characteristics can be found in Table 1. The global incidence rate for CTRCD in our cohort was of 2.4 new cases per 1000 person-days, however no differences in incidence rates were found when stratifying by risk category (Figure 1A). Moreover, patients with moderate to high risk according to the HFA-ICOS tool did not show a significantly increased hazard ratio for cardiotoxicity (HR 0.41, 95%CI 0.15-1.12, p=0.082 and HR 1.39, 95%CI 0.50-3.86, p=0.5, respectively) as shown in Figure 1B. Conclusion While the HFA-ICOS tool provides a structured framework for assessing cardiotoxicity risk, its predictive value in this cohort was limited. The findings underscore the complexity of cancer therapy-related cardiotoxicity and the need for enhanced, individualized risk assessment tools. Future research should focus on refining risk prediction models, incorporating broader clinical and genetic factors to improve patient outcomes in cardio-oncology.Table 1.Clinical CharacteristicsFigure 1.Incidence rates and Cox models

Cardiac chamber three-dimensional volumes and deformation predict clinical outcomes in chronic mitral regurgitation

Abstract Background In patients with mitral regurgitation (MR), cardiac remodeling assessed by two-dimensional (2D) echocardiographic linear indexes is highly variable and not suitable for individualized risk assessment. Purpose To evaluate whether measurements of myocardial strain and left atrial (LA), left ventricular (LV) and right ventricular (RV) three-dimensional (3D) volumes improve risk assessment in MR. Methods In the prospective 3D Echocardiography and Cardiovascular Prognosis in Mitral Regurgitation study (3D-PRIME), 176 patients with significant (moderate or greater) MR were investigated with 2D/3D echocardiography. Referral criteria for mitral intervention followed current guidelines. LA remodeling was assessed by the maximum and minimum 3D LA volume (3D-LAV), peak reservoir strain (LASr), and stiffness (i.e. the ratio: mitral peak E-wave divided by the annular e’ velocity (E/e´) / LASr). LV and RV were considered dilated in case of increased 3D end-diastolic (LV>=86/74 and RV>=87/74ml/m2 in men/women) and end-systolic volumes indexed for body surface area (LV>=41/33 and RV>=44/36ml/m2 in men/women). Peak global longitudinal strain was measured in the LV (LV-GLS) and the RV free wall (RV-FWS). The primary outcome was a composite of mitral valve surgery, percutaneous mitral edge-to-edge repair and death. Results During a 14 [8-24] months follow-up, the patients (70±13 years, 39% women) experienced 73 events including 14 deaths. In univariate survival analyses, LV and RV dilatation, but not LV-GLS and RV-FWS, were associated with the primary outcome (Figure) and had superior predictive value to 2D volumes and diameters (p<0.05). On contrary, both atrial size and function predicted outcome, with 3D-LAV (HR 1.01, 95% CI 1.00-1.01), LASr (HR 1.03, 95% CI 1.01-1.06) and increased LA stiffness (Figure) all significant predictors of events (p<0.05). In multivariate Cox analysis with adjustment for age, sex, body mass index and MR etiology, dilated LV (HR 2.6, 95% CI 1.5-4.4), dilated RV (HR 2.0, 95% CI 1.1-3.6) and increased LA stiffness ((HR 2.4, 95% CI 1.3-4.6) were independently associated with higher rate of events (p<0.05). Conclusion In patients with moderate or greater MR, increased cardiac chamber 3D volumes and LA stiffness, as well as impaired LA reservoir strain are associated with higher risk of disease progression towards mitral valve intervention and death. Our findings indicate that assessment of both cardiac chamber 3D size and LA deformation can contribute to increased diagnostic and prognostic precision in patients with MR.

A retrospective analysis of patients with very HIGH level of LDL-C and the predictors of mortality (HIGH-LDL-PM Registry)

Abstract Introduction Elevated levels of LDL cholesterol (LDL-C) significantly contribute to the development and progression of cardiovascular diseases (CVDs). In HIGH-LDL-PM Registry, we aimed to investigate the demographics and clinical characteristics of patients with very high level of LDL-C and the predictors of mortality, retrospectively. Methods We retrospectively searched the electronic database of Istanbul University-Cerrahpasa Institute of Cardiology and included patients with very high level of LDL-C (>190 mg/dl) in HIGH-LDL-PM registry. The study group were classified as patients with high probability of familial hypercholesterolemia (FH) and low probability of FH according to Dutch Lipid Clinic Network Score (DLCNS). Results The study group were consisted of 1127 patients and almost two thirds (61.5%) were female. The mean age was 56.5 12.2 years. Hypertension, diabetes, chronic kidney disease (CKD) were seen in 55.8%, 23.5% and 3.7%, respectively. One third of study group (31.1%) had coronary artery disease (CAD) and rest of them were primary prevention patients. the main rhythm was sinus in most of the patients (92,2) and 7.8% patients had atrial fibrillation (AF). Only minority of patients (3.9%) had stigmata for elevated cholesterol levels. While 41.8% of patients had high clinical probability for FH, 58.2% of them had low probability according to DLCNS. While 69% of patients were using lipid lowering treatments (LLTs), 42% of them had drug adherence. High dose (HD) statins (atorvastatin 40-80 and rosuvastatin 20-40 mg) were prescribed in more than half (55.2%) of patients with LLTs. Ezetimibe was the preferred agent as combination therapy in 6.9% and PCSK-9is were prescribed only in 2.5% of patients with LLTs. In 38.8% of study population, ASA was prescribed. 50% decrease in LDL-C levels or decreasing LDL-C below 70 or 100 mg/dl as a treatment goal were achieved in 37.1% and 15% of study population. MACE (MI, stroke, PCI or peripheral revascularization) was recorded in 21% of study population and the mortality rate was 10.4% at 12-years FU (6-145 months). Patients with low probability of FH had better survival than patient with high probability (91.4% vs 88.4%). The age, low dose statin use and higher level of LDL-C at FU were predictors of mortality in Cox-regression analysis. Conclusion Our retrospective analysis of patients with very high levels of LDL-C underscores the multifaceted nature of dyslipidemia management and its impact on cardiovascular outcomes. Despite advancements in pharmacotherapy, suboptimal adherence to lipid-lowering treatments remains a significant challenge, contributing to a notable burden of major adverse cardiovascular events and mortality. Identification of predictors of mortality, such as age, statin dosage, and LDL-C levels, highlights the importance of individualized risk assessment and tailored treatment approaches in this high-risk population.

Women’s perspectives on the acceptability of risk-based cervical cancer screening

BackgroundThe increased knowledge of cervical cancer (CC) risk factors and suboptimal performance of present screening programs has generated interest in shifting from a universal screening approach to one based on individual risk assessment. To inform the future development of risk-based CC screening programs, it is crucial to gain insight into the factors influencing the acceptability of such approach among screening target group women. The aim of this study was to prospectively investigate the acceptability of risk-based CC screening and to identify potential barriers.MethodsIn this qualitative study, one-to-one semi-structured interviews were conducted with a purposeful sample including women aged 30–65 years to explore women’s perspectives on the acceptability of risk-based CC screening. The study was conducted in Estonia, and interviews were conducted from March to September 2023. Potential participants were approached in person by a member of the study team or by their healthcare providers at primary care or gynaecology clinics. The interview guides were developed based on the concept of acceptability of healthcare interventions.ResultsTwenty participants (mean age 44.5, SD = 8.6) with diverse backgrounds were interviewed. The seven components of acceptability (affective attitude, burden, ethicality, opportunity costs, perceived effectiveness, self-efficacy, and intervention coherence) were explored as key themes. Generally, women supported risk-based screening. However, we identified several factors that may compromise the acceptability of risk-based screening. The participants were reluctant to accept less intense screening for low-risk women and anticipated that if risk-based approach was implemented, more frequent testing would remain an option. Providing in-person clinician support was expected, requiring additional healthcare resources. Knowledge gaps in CC prevention highlighted the need for accessible information and education. Most women were unworried about sensitive data inclusion in risk score calculations. However, some participants were concerned about potential confidentiality breaches by healthcare workers.ConclusionThis study indicates that risk-based CC screening is acceptable, except for testing low-risk women less frequently. Our findings underscore the necessity for comprehensive understanding of the needs and concerns of the target group women for program development. Healthcare organizations are required to proactively address these needs by implementing comprehensive information dissemination and efficient communication approaches.

Complementary value of molecular, phenotypic, and functional aging biomarkers in dementia prediction.

DNA methylation age (MA), brain age (BA), and frailty index (FI) are putative aging biomarkers linked to dementia risk. We investigated their relationship and combined potential for prediction of cognitive impairment and future dementia risk using the ADNI database. Of several MA algorithms, DunedinPACE and GrimAge2, associated with memory, were combined in a composite MA alongside BA and a data-driven FI in predictive analyses. Pairwise correlations between age- and sex-adjusted measures for MA (aMA), aBA, and aFI were low. FI outperformed BA and MA in all diagnostic tasks. A model including age, sex, and aFI achieved an area under the curve (AUC) of 0.94 for differentiating cognitively normal controls (CN) from dementia patients in a held-out test set. When combined with clinical biomarkers (apolipoprotein E ε4 allele count, memory, executive function), a model including aBA and aFI predicted 5-year dementia risk among MCI patients with an out-of-sample AUC of 0.88. In the prognostic model, BA and FI offered complementary value (both βs 0.50). The tested MAs did not improve predictions. Results were consistent across FI algorithms, with data-drivenhealth deficitselection yielding the best performance. FI had a stronger adverse effect on prognosis in males, while BA's impact was greater in females. Our findings highlight the complementary value of BA and FI in dementia prediction. The results support a multidimensional view of dementia, including an intertwined relationship between the biomarkers, sex, and prognosis. The tested MA's limited contribution suggests caution in their use for individual risk assessment of dementia.

Genome sequencing in the management of myelodysplastic syndromes and related disorders.

Myeloid neoplasms originate from the clonal proliferation of hematopoietic stem cells, which is driven by the acquisition of somatic genetic mutations. Within these disorders, myelodysplastic syndromes (MDS) are specifically characterized by morphologic abnormalities (dysplasia) and impaired maturation of myeloid precursors (ineffective hematopoiesis), resulting in peripheral blood cytopenia. Several studies have advanced the field of MDS, with a few landmark papers leading to a paradigm shift, opening new avenues of research and enabling a molecular revolution. These seminal papers include the first description of the 5q- syndrome, the identification of somatic mutations of TET2 in myeloid neoplasms, the detection of common pathway mutations in the splicing machinery, and the discovery of clonal hematopoiesis. The somatic genomic landscape of MDS is now well-defined. Genes that are recurrently mutated include epigenetic regulators, as well as genes of RNA splicing machinery, transcription regulation, DNA repair control, cohesin complex, and signal transduction. Furthermore, several disorders with a germline genetic predisposition to MDS have been identified, collectively accounting for up to 15% of all MDS cases. Genomic profiling can significantly improve the diagnostic approach to MDS, allowing the identification of distinct nosologic entities such as SF3B1-mutant or TP53-mutant MDS. The Molecular International Prognostic Scoring System for MDS (IPSS-M) has already proven to be a valuable tool for individualized risk assessment and treatment decisions. In addition, the recently developed molecular taxonomy of MDS will likely facilitate the implementation of precision medicine approaches for these disorders. This will necessitate the establishment of specialized infrastructures within public health systems, involving close collaboration between healthcare institutions, academia, and the life sciences industry.

Cardiometabolic risk assessment in transgender individuals - differential impact of sex hormones and sex chromosomes.

While transgender individuals represent a significant group seeking medical care, the differential effect of sex on cardiometabolic risk metrics is incompletely understood. Therefore, the current study aimed to characterize the impact of sex hormones and chromosomes on a contemporary panel of cardiometabolic risk biomarkers and functional cardiovascular measurements. 17 transmen and 17 transwomen were studied at baseline (T0), 4 weeks (hormonal castration, T1), and 11 months following gender-affirming hormone treatment (T12). We analyzed carotid intima-media thickness (cIMT) and arterial stiffness, lipoproteins and other metabolites comprehensively by nuclear magnetic resonance spectroscopy and HDL-mediated cholesterol efflux capacity (CEC) from macrophages. T0 to T12 comparisons informed the impact of sex hormones, comparisons of genetic XX and XY individuals at T1 the impact of sex chromosomes. Vascular function was comparable at T12 and T0; systolic blood pressure increased in transmen (p=0.002). Transmen developed a pro-atherogenic lipoprotein profile, estrogen treatment in transwomen tended to result in improvements. Several metabolites indicating increased diabetes risk including plasma glucose were changed in transmen (p=0.025), with opposite changes in transwomen (p=0.002). Interestingly, at T1 apparent diabetes risk was lower in XX compared with XY individuals (p=0.002). CEC decreased in transwomen (p<0.01), while remaining unchanged in transmen. However, in both groups the strong positive association of apoA-I with cholesterol efflux observed at T0 was lost at T12. The results are consistent with increased cardiometabolic risk in transmen, while transwomen show beneficial changes early during gender-affirming hormone therapy. Sex chromosomes have less intrinsic effects. XY individuals and transmen display an increased apparent diabetes risk. Further research of cardiometabolic risk is needed for transgender individuals.

Beyond the Heart: The Predictive Role of Coronary Artery Calcium Scoring in Non-Cardiovascular Disease Risk Stratification

Coronary artery calcium scoring (CACS), a non-invasive measure of coronary atherosclerosis, has significantly enhanced cardiovascular (CV) risk assessment and stratification in asymptomatic individuals. More recently, a higher score for CAC has been associated with an increased risk of non-CV diseases and all-cause mortality. This review consolidated evidence supporting the role of CAC in assessing non-CV diseases, emphasizing its potential in early diagnosis and prognosis. We observed a strong association between CACS and non-CV diseases, viz., chronic obstructive pulmonary disease, pulmonary embolism, pneumonia, diabetes, chronic kidney disease, osteoporosis, metabolic dysfunction-associated steatotic liver disease, nephrolithiasis, stroke, dementia, malignancies, and several autoimmune diseases. Also, CAC may aid in evaluating the risk of CV conditions developing secondary to the non-CV diseases mentioned earlier. Further evidence from prospective studies, intervention trials, and population-based behavioral studies is needed to establish CAC cutoff values and explore preventative care applications, facilitating their broader integration into healthcare practices.

Preoperative nTMS analysis: a sensitive tool to detect imminent motor deficits in brain tumor patients.

One of the challenges in surgery of tumors in motor eloquent areas is the individual risk assessment for postoperative motor disorder. Previously a regression model was developed that permits estimation of the risk prior to surgery based on topographical and neurophysiological data derived from investigation with nTMS (navigated Transcranial Magnetic Stimulation). This study aims to analyze the impact of including additional neurophysiological TMS parameters into the established risk stratification model for motor outcome after brain tumor surgery. Biometric and clinical data of 170 patients with glioma in motor eloquent areas were collected prospectively. In addition, the following nTMS parameters were collected bihemispherically prior to surgery: resting motor threshold (RMT), recruitment curve (RC), cortical silent period (CSP) and a nTMS based fibertracking to measure the tumor tract distance (TTD). Motor function was quantified by Medical Research Council Scale (MRCS) preoperatively, seven days and three months postoperatively. Association between nTMS parameters and postoperative motor outcome was investigated in bivariate and multivariable analyses. The bivariate analysis confirmed the association of RMT ratio with the postoperative motor outcome after seven days with higher rates of worsening in patients with RMT ratio > 1.1 compared to patients with RMT ratio ≤ 1.1 (31.6% vs. 15.1%, p = 0.009). Similarly, an association between a pathological CSP ratio and a higher risk of new postoperative motor deficits after seven days was observed (35.3% vs. 16.7% worsening, p = 0.025). A pathological RC Ratio was associated postoperative deterioration of motor function after three months (42.9% vs. 16.2% worsening, p = 0.004). In multiple regression analysis, none of these associations were statistically robust. The current results suggest that the RC ratio, CSP ratio and RMT ratio individually are sensitive markers associated with the motor outcome 7days and 3months after tumor resection in a presumed motor eloquent location. They can therefore supply valuable information during preoperative risk-benefit-balancing. However, underlying neurophysiological mechanisms might be too similar to make the parameters meaningful in a combined model.

Arsenic content in tissues, Fungus combs, Herbs, Termite mounds and Soils of termites of the genus Macrotermes and assessment of the health risk associated with their food use in the industrial zone of the Societe Nouvelle Des phosphates du Togo (SNPT)

Arsenic is present in different environmental matrices of the phosphate mining and processing area of the Société Nouvelle des Phosphates du Togo; including termite tissues, termite waste, termite mounds, termite Fungus combs, soils and nearby herbs. Arsenic levels vary across matrices, with termite waste having the highest concentration (approximately 27.01 mg/kg) compared to the outside herbs, which have the lowest. Phosphate mining sites, including Hahotoé-Kpogamé and Akoumapé, have higher levels of As contamination in soils and termite tissues compared to the phosphate processing site. A positive correlation is observed between As levels in termite tissues and termite waste; suggesting an ability of termites to eliminate arsenic via their waste. Regarding health risks, the hazard quotient (HQ) for arsenic in termites exceeds 1, and for non-threshold effects, the excess individual risk (EIR) assessment gives EIR &gt; 10-4 in both adults and children; which would mean that termite consumption poses a significant health risk, including cancer risks for human populations, particularly children. However, it should be noted that the estimation in this study includes total As (organic and inorganic). Since the toxicological reference values were calculated on the basis of inorganic arsenic, which presents more hazard and whose fraction represents 10% of total As, the daily exposure dose values for adults and children represent 1.40.10-4 mg/kg/d and 1.02.10-4 mg/kg/d of inorganic arsenic, respectively. These doses will then become lower than the toxicological reference value (TRV) with the consequence of hazard quotient (HQ) lower than 1 and resulting in low risks of carcinogenic effects. It is therefore necessary to specifically determine the inorganic fraction to refine the risk assessment and to extend this study to other trace elements in the prospected area.

Prenatal ultrasound detection of fetal amniotic band ingestion in monochorionic diamniotic twin pregnancy: a rare case report

BackgroundAmniotic Band Syndrome (ABS) is a rare congenital condition characterized by the formation of fibrous bands within the amniotic sac that can entangle and restrict fetal development, leading to various deformities. In this report, we present an unprecedented case of fetal amniotic band ingestion in a monochorionic diamniotic (MCDA) twin pregnancy. Reporting this case is essential for expanding the understanding of the diverse presentations of amniotic bands, considering this rare entity in the differential diagnosis of prenatal ultrasound findings, and emphasizing the importance of vigilant prenatal monitoring and individualized management strategies.Case PresentationA 35-year-old gravida 2, para 1 woman with an MCDA twin pregnancy experienced an uneventful pregnancy until the 33rd week, when routine ultrasonography revealed mild intrauterine growth restriction in both twins. At 35 weeks and 5 days gestation, the patient presented with mild abdominal pain. An emergency ultrasound revealed that Twin A ingested an amniotic band. Despite the absence of overt fetal distress, a comprehensive risk assessment was conducted, taking into account potential complications, such as airway obstruction and gastrointestinal issues due to prolonged amniotic band ingestion. Considering the risks versus the benefits of continued gestation and the near-term status, an emergency cesarean section was performed. The procedure resulted in the successful delivery of both twins with satisfactory Apgar scores. A 9-cm fibrous strand was promptly extracted from Twin A’s oral cavity after delivery, confirming prenatal diagnosis. Both neonates underwent thorough examinations, revealing no additional anomalies, and demonstrated normal development during the nine-month follow-up.ConclusionThis case highlights the inherent challenges in diagnosing and managing the rare presentations of amniotic band-related complications, particularly in MCDA twin pregnancies. The instance of fetal amniotic band ingestion underscores the vital role of comprehensive prenatal imaging in ensuring accurate diagnosis and tailoring individualized risk assessments throughout the pregnancy in such rare and complex situations.

Predicting individual personality styles using macrostructural information: A multivariate pattern study

Advances in neuroimaging techniques have uncovered the relationships between neuroanatomy and personality traits like neuroticism and extraversion. Nevertheless, few studies have examined the reliable biological markers that identify individuals with different personality styles. Therefore, we evaluated the diagnostic capability of structural magnetic resonance imaging with a sample of 192 healthy adults by using a machine learning algorithm to divide them into four groups according to brain structural characteristics. Our results showed that personality styles, but not personality traits, could be discriminated with the extraversion candidate brain system (e. g., the frontal cortex, hippocampus, amygdala) and the neuroticism candidate brain system (e. g., the insula, the right anterior cingulate cortex). These findings indicate that personality styles that consider person-centered traits may more effectively predict individuals' mental health, providing a potential brain biomarker for early individual psychological risk assessments.

The GeoTox Package: Open-source software for connecting spatiotemporal exposure to individual and population-level risk.

Comprehensive environmental risk characterization, encompassing physical, chemical, social, ecological, and lifestyle stressors, necessitates innovative approaches to handle the escalating complexity. This is especially true when considering individual and population-level diversity, where the myriad combinations of real-world exposures magnify the combinatoric challenges. The GeoTox framework offers a tractable solution by integrating geospatial exposure data from source-to-outcome in a series of modular, interconnected steps. Here, we introduce the GeoTox open-source R software package for characterizing the risk of perturbing molecular targets involved in adverse human health outcomes based on exposure to spatially-referenced stressor mixtures. We demonstrate its usage in building computational workflows that incorporate individual and population-level diversity. Our results demonstrate the applicability of GeoTox for individual and population-level risk assessment, highlighting its capacity to capture the complex interplay of environmental stressors on human health. The GeoTox package represents a significant advancement in environmental risk characterization, providing modular software to facilitate the application and further development of the GeoTox framework for quantifying the relationship between environmental exposures and health outcomes. By integrating geospatial methods with cutting-edge exposure and toxicological frameworks, GeoTox offers a robust tool for assessing individual and population-level risks from environmental stressors. GeoTox is freely available at https://niehs.github.io/GeoTox/.

Temporal variability and ecological risks of pharmaceuticals and cocaine during the Christmas and New Year holidays in a beach area of North Coast of São Paulo, Brazil

This study assessed the occurrence and ecological potential risk of nine selected pharmaceuticals in water samples from the Juquehy River. The river flows continuously to Juquehy Beach, known as “the jewel of the north coast" of São Paulo, Brazil. Samples were collected during Christmas and the New Year (period of December 2023–January 2024), in addition to a previous baseline weekend, to compare the loads during “celebratory parties" versus “normal operational conditions." The findings indicated that the “mass gathering" during Christmas and New Year holidays contributed significantly to an increase of the mass load of the nine pharmaceuticals flowing along to the Juquehy River, i.e., caffeine (14.40–633.00 ng/L) > losartan (<LOQ: limit of quantification to 9.43 ng/L) > furosemide (< LOQ to 9.16 ng/L) > diclofenac (0.61–4.55 ng/L) > carbamazepine (< LOQ to 0.73 ng/L) > orphenadrine (< LOQ to 0.11 ng/L) showed higher concentrations during the New Year holiday. Conversely, atenolol (< LOQ to 13.10 ng/L) > benzoylecgonine (0.33–7.23 ng/L) > cocaine (0.12–6.59 ng/L) showed higher concentrations during the Christmas day. The individual ecological risk assessment in the Juquehy River revealed a clear environmental concern for the aquatic ecosystem. The threat to the aquatic biota is significant, with caffeine and losartan presenting a moderate level of risk. Moreover, the mixture ecological risk assessment of nine compounds indicates acute moderate risks to algae, crustaceans, and fishes, as well as chronic low risks to fishes.

A commentary from the European Renal Best Practice (ERBP) on the Kidney Disease Improving Global Outcomes (KDIGO) 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease in children and adults

Abstract The Kidney Disease: Improving Global Outcomes (KDIGO) 2024 Guidelines for identification and management of chronic kidney disease (CKD) are a welcome development coming 12 years after the paradigm changing 2012 guidelines. We are living in an unprecedented era in nephrology with novel therapies, including sodium-glucose cotransporter-2 inhibitors, glucagon-like peptide-1 receptor agonists and non-steroidal mineralocorticoid receptor antagonists now being proven in multiple randomised controlled clinical trials to reduce both the progression of CKD and cardiovascular morbidity and mortality. The KDIGO 2024 CKD guideline is aimed at a broad audience looking after children and adults with CKD and provide practical and actionable steps to improve care. This commentary reviews the guideline sections pertaining to the evaluation and risk assessment of individuals with CKD from a European perspective. We feel that despite the last guideline being published 12 years ago, and that the assessment of CKD has been emphasized by many other national/international nephrology, cardiology and diabetology guidelines and societies, the diagnosis and treatment of CKD remains poor across Europe. As such the KDIGO 2024 CKD Guidelines should be seen as an urgent call to action to improve diagnosis and care of children and adults with CKD across Europe. We know what we need to do. We now need to get on and do it.

Exploring the internal medicine comorbidities associated with eating disorders: correlation between disease severity and cardiac abnormalities in adolescent patients with anorexia nervosa

ABSTRACT Anorexia Nervosa (AN) is a psychiatric disorder characterized by caloric restriction, weight loss, and fear of gaining weight. Cardiac complications are among the most severe medical consequences. Despite the importance of regular cardiac assessments, there is a lack of standardized protocols for timing and patient selection. This retrospective cohort study has aimed to assess the correlation between AN severity, Body Mass Index, weight loss percentage, and cardiac abnormalities in pediatric patients. A total of 123 patients admitted to a child and adolescent psychiatry unit between January 2019 and March 2022 were included. Data on demographics, clinical characteristics, cardiac evaluations were collected from electronic health records. The study revealed a prevalence of cardiac abnormalities in 57.7% of patients, with bradycardia being the most common (49.5%), followed by QTc prolongation (4%) and pericardial effusion (4%). However, no significant correlation was found between AN severity and cardiac alterations, suggesting that disease severity alone is not a reliable predictor of cardiac risk. The study highlights the need for individualized risk assessment and targeted cardiac evaluations based on specific risk factors rather than disease severity alone. Early diagnosis and comprehensive care contribute to better outcomes, emphasizing the importance of multidisciplinary approaches in managing AN.

Aortic arterial stiffness associates with carotid intima-media thickness and carotid plaques in younger middle-aged healthy people

Purpose Aortic stiffness, assessed as estimated aortic pulse wave velocity (aPWV), and carotid intima-media thickness (cIMT) are markers of vascular age, and carotid plaques are a marker of early atherosclerosis. In this cross-sectional study we aimed to investigate the association between aPWV, cIMT and plaques across different age groups and in women and men, in a middle-aged healthy population. Materials and methods Participants in the 6.5-year follow-up of the VIPVIZA trial who were aged 47, 57 and 67 underwent an oscillometric measurement which estimates aPWV between 2020 and 2023. Carotid ultrasound examinations were also performed. Linear and ordinal regression models were used to investigate how aPWV associates with cIMT and with carotid plaques, for the overall study group and stratified for age groups and sex. Results A total of 1046 subjects were included in the analyses. Linear associations between aPWV and cIMT (β = 0.018, 95% CI: 0.006–0.030, p = 0.003), and between aPWV and plaques (OR: 1.19, 95% CI: 1.03–1.38, p = 0.018), were seen in the 57-year-olds. In the 47-year-olds a significant association was seen between aPWV and plaques (OR: 2.98 95% CI: 1.44–6.14, p = 0.003). No significant associations were seen in the 67-year-olds. For women, a significant association between aPWV and cIMT (β = 0.011, 95% CI: 0.004–0.017, p = 0.002) was shown. Conclusion Estimated aPWV was positively associated with increasing cIMT and the presence of carotid plaques in younger middle-aged individuals, and with cIMT in women, suggesting that measurement of estimated aPWV may improve cardiovascular risk assessment in younger middle-aged individuals and women. Clinical Trial Registration date 8 May 2013: URL: www.clinicaltrials.gov. Unique identifier: NCT01849575.

Predicting post-lung transplant survival in systemic sclerosis using CT-derived features from preoperative chest CT scans.

The current understanding of survival prediction of lung transplant (LTx) patients with systemic sclerosis (SSc) is limited. This study aims to identify novel image features from preoperative chest CT scans associated with post-LTx survival in SSc patients and integrate them into comprehensive prediction models. We conducted a retrospective study based on a cohort of SSc patients with demographic information, clinical data, and preoperative chest CT scans who underwent LTx between 2004 and 2020. This cohort consists of 102 patients (mean age, 50 years ± 10, 61% (62/102) females). Five CT-derived body composition features (bone, skeletal muscle, visceral, subcutaneous, and intramuscular adipose tissues) and three CT-derived cardiopulmonary features (heart, arteries, and veins) were automatically computed using 3-D convolutional neural networks. Cox regression was used to identify post-LTx survival factors, generate composite prediction models, and stratify patients based on mortality risk. Model performance was assessed using the area under the receiver operating characteristics curve (ROC-AUC). Muscle mass ratio, bone density, artery-vein volume ratio, muscle volume, and heart volume ratio computed from CT images were significantly associated with post-LTx survival. Models using only CT-derived features outperformed all state-of-the-art clinical models in predicting post-LTx survival. The addition of CT-derived features improved the performance of traditional models at 1-year, 3-year, and 5-year survival prediction with maximum AUC scores of 0.77 (0.67-0.86), 0.85 (0.77-0.93), and 0.90 (95% CI: 0.83-0.97), respectively. The integration of CT-derived features with demographic and clinical features can significantly improve t post-LTx survival prediction and identify high-risk SSc patients. Question What CT features can predict post-lung-transplant survival for SSc patients? Finding CT body composition features such as muscle mass, bone density, and cardiopulmonary volumes significantly predict survival. Clinical relevance Our individualized risk assessment tool can better guide clinicians in choosing and managing patients requiring lung transplant for systemic sclerosis.

Invasive fungal infections are rare in pediatric and young adult autologous hematopoietic stem cell transplant patients.

Pediatric and young adult patients undergoing autologous hematopoietic stem cell transplant (auto-HSCT) face a crucial, yet understudied, risk of invasive fungal infections (IFI), especially compared to allogeneic transplants. This gap underscores the need for research in pediatric patients undergoing auto-HSCT. Our objective was to evaluate the incidence of IFI in pediatric and young adult patients during the first year after auto-HSCT. We conducted a single-center retrospective analysis of 150 pediatric and young adult auto-HSCT patients who underwent transplant from January 2013 to January 2023. We focused on IFI incidence within the first-year post transplant, using the European Organization for Research and Treatment of Cancer/Mycoses Study Group (EORTC/MSG) criteria for IFI identification. Among the 150 patients analyzed, with 240 unique transplant episodes, the primary indication was neuroblastoma (37.3%), and micafungin was extensively used for prophylaxis (82.7%). There was an absence of IFI from yeast and mold species, suggesting a low IFI risk in this cohort. The incidence of IFI in pediatric auto-HSCT recipients receiving micafungin primary antifungal prophylaxis is rare. The findings advocate for further research to refine prophylaxis guidelines and highlight the need for individualized risk assessment to optimize post-transplant care.

Comparative Predictive Modeling for PICC Line Complications in Oncology: A Retrospective Study.

Aims/Background Peripherally inserted central catheter (PICC) are increasingly used in cancer treatment, offering significant therapeutic benefits while also posing risks for complications such as infection, thrombosis, and catheter migration. Effective prediction and management of these complications are crucial to optimizing patient outcomes and reducing healthcare costs. Methods This retrospective study analyzed PICC line insertion in 266 cancer patients implemented from January 2019 to December 2023 at a regional healthcare facility in China. Using least absolute shrinkage and selection operator (LASSO) logistic regression, we identified key factors influencing PICC line complications and developed a tailored nomogram for individual risk assessment. The efficacy of the model was compared with support vector machine (SVM), random forest, and gradient boosting machine (GBM) using receiver operating characteristic (ROC) and decision curve analysis (DCA) metrics. Results Factors such as body mass index (BMI), diabetic status, and age were found to be significant predictors of PICC line complications. The LASSO model demonstrated superior predictive capability (area under the curve, AUC = 0.79) over SVM (AUC = 0.40), random forest (AUC = 0.70), and GBM (AUC = 0.64). A tailored nomogram was developed for clinical use, enabling personalized risk evaluation. Conclusion The study underscores the utility of LASSO logistic regression in the personalized risk evaluation of PICC line complications, recommending its integration into clinical practice. The tailored nomogram provides a practical tool for clinicians to enhance care customization for patients requiring PICC lines, thereby improving treatment outcomes and patient safety.