Clinical Indications Research Articles

The overview of imaging protocols for chest CT

Computed Tomography (CT) is a common method of choice in the diagnosis of thoracic diseases. Since CT operates on the principle of ionizing radiation and frequently involves the use of contrast agents, it is crucial to standardize CT protocols to reduce the need for repeat imaging and, consequently, minimize patient exposure to radiation. The selection of a CT protocol primarily depends on the patient’s clinical indications and needs. The main classification of CT protocols distinguishes between the use of contrast agents (CECT) and non-contrast protocols (NCCT). The LDCT protocol is characterized by a low radiation dose and high sensitivity for detecting pulmonary nodules, making it suitable for lung cancer screening. Ultra-LDCT yields satisfactory results in diagnosing pneumonia and pneumothorax. Cine CT enables the assessment of cardiac function throughout the entire cardiac cycle, though it involves a high radiation dose and low temporal resolution. The use of contrast agents is particularly beneficial for differentiating adjacent non-vascular structures, more accurately identifying vascular anatomy, and improving the detection and characterization of pathological lesions. For diagnosing vascular pathologies, CTA is used, while CTPA is essential for diagnosing pulmonary embolism (PE) with high sensitivity and specificity. TRO CT is useful in cases of acute chest pain to rule out emergencies. Dynamic changes in tissue perfusion are monitored with DCE-CT, which is also valuable in tumor diagnostics. In pediatric applications of CT for the chest, it is essential to emphasize the use of the lowest possible radiation dose and contrast agent to minimize risks.

Update understanding on diagnosis and histopathological examination of atrophic gastritis: A review

Chronic atrophic gastritis (CAG) is a complex syndrome in which long-term chronic inflammatory stimulation causes gland atrophy in the gastric mucosa, reducing the stomach's ability to secrete gastric juice and pepsin, and interfering with its normal physiological function. Multiple pathogenic factors contribute to CAG incidence, the most common being Helicobacter pylori infection and the immune reactions resulting from gastric autoimmunity. Furthermore, CAG has a broad spectrum of clinical manifestations, including gastroenterology and extra-intestinal symptoms and signs, such as hematology, neurology, and oncology. Therefore, the initial CAG evaluation should involve the examination of clinical and serological indicators, as well as diagnosis confirmation via gastroscopy and histopathology if necessary. Depending on the severity and scope of atrophy affecting the gastric mucosa, a histologic staging system (Operative Link for Gastritis Assessment or Operative Link on Gastritis intestinal metaplasia) could also be employed. Moreover, chronic gastritis has a higher risk of progressing to gastric cancer (GC). In this regard, early diagnosis, treatment, and regular testing could reduce the risk of GC in CAG patients. However, the optimal interval for endoscopic monitoring in CAG patients remains uncertain, and it should ideally be tailored based on individual risk evaluations and shared decision-making processes. Although there have been many reports on CAG, the precise etiology and histopathological features of the disease, as well as the diagnosis of CAG patients, are yet to be fully elucidated. Consequently, this review offers a detailed account of CAG, including its key clinical aspects, aiming to enhance the overall understanding of the disease.

Advances in the mechanisms of vascular calcification in chronic kidney disease.

Vascular calcification (VC) is common in patients with advanced chronic kidney disease (CKD).A series of factors, such as calcium and phosphorus metabolism disorders, uremic toxin accumulation, inflammation and oxidative stress and cellular senescence, cause osteoblast-like differentiation of vascular smooth muscle cells, secretion of extracellular vesicles, and imbalance of calcium regulatory factors, which together promote the development of VC in CKD. Recent advances in epigenetics have provided better tools for the investigation of VC etiology and new approaches for finding more accurate biomarkers. These advances have not only deepened our understanding of the pathophysiological mechanisms of VC in CKD, but also provided valuable clues for the optimization of clinical predictors and the exploration of potential therapeutic targets. The aim of this article is to provide a comprehensive overview of the pathogenesis of CKD VC, especially the new advances made in recent years, including the various key factors mentioned above. Through the comprehensive analysis, we expect to provide a solid theoretical foundation and research direction for future studies targeting the specific mechanisms of CKD VC, the establishment of clinical predictive indicators and the development of potential therapeutic strategies.

Predictive Value of Diaphragm and Lung Ultrasonography for Weaning Failure in Critically Ill Patients with Acute Respiratory Failure Due to COVID-19 Pneumonia

Background: This study analyzed weaning characteristics and assessed the association of clinical and ultrasonographic indices—maximum inspiratory pressure (MIP), rapid shallow breathing index (RSBI), peak flow expiratory (PFE), diaphragm-thickening fraction (DTF), diaphragm thickness (DT), diaphragm excursion (DE), diaphragm-RSBI (D-RSBI), and lung ultrasound (LUS) patterns—with weaning failure. Methods: This retrospective cohort study included critically ill COVID-19 patients aged 18 and older who had been on invasive mechanical ventilation for at least 48 h and undergoing weaning. Exclusion criteria included absence of ultrasound assessments, neuromuscular diseases, and chronic cardio-respiratory dysfunction. Results: Among 61 patients, 44.3% experienced weaning failure, 27.9% failed the spontaneous breathing trial (SBT), 16.4% were re-intubated within 48 h, and 28% required tracheostomy. Weaning failure was associated with prolonged ventilation (29 vs. 7 days, p < 0.001), extended oxygen therapy, longer ICU stays, and higher ICU mortality. These patients had higher pressure support, lower oxygenation levels, a higher RSBI, and a lower MIP. While PEF, DTF, DE, and D-RSBI showed no significant differences, both right and left diaphragm thicknesses and the inspiratory thickness of the left diaphragm were reduced in failure cases. LUS scores were significantly higher before and after SBT in the failure group. Bivariate analysis identified RSBI [OR = 1.04 (95% CI = 1.01–1.07), p = 0.010], MIP [OR = 0.92 (95% CI = 0.86–0.99), p = 0.018], and LUS [OR = 1.15 (95% CI = 0.98–1.35), p = 0.025] as predictors of weaning failure; however, these associations were not confirmed in multivariate analysis. Conclusions: Ultrasound provides supplementary information during weaning, but no definitive association between ultrasound indices and weaning failure was confirmed in this study.

Interpretable machine learning models for predicting short-term prognosis in AChR-Ab+ generalized myasthenia gravis using clinical features and systemic inflammation index

BackgroundMyasthenia Gravis (MG) is an autoimmune disease that causes muscle weakness in 80% of patients, most of whom test positive for anti-acetylcholine receptor (AChR) antibodies (AChR-Abs). Predicting and improving treatment outcomes are necessary due to varying responses, ranging from complete relief to minimal improvement.ObjectiveOur study aims to develop and validate an interpretable machine learning (ML) model that integrates systemic inflammation indices with traditional clinical indicators. The goal is to predict the short-term prognosis (after 6 months of treatment) of AChR-Ab+ generalized myasthenia gravis (GMG) patients to guide personalized treatment strategies.MethodsWe performed a retrospective analysis on 202 AChR-Ab+ GMG patients, dividing them into training and external validation cohorts. The primary outcome of this study was the Myasthenia Gravis Foundation of America (MGFA) post-intervention status assessed after 6 months of treatment initiation. Prognoses were classified as “unchanged or worse” for a poor outcome and “improved or better” for a good outcome. Accordingly, patients were categorized into “good outcome” or “poor outcome” groups. In the training cohort, we developed and internally validated various ML models using systemic inflammation indices, clinical indicators, or a combination of both. We then carried out external validation with the designated cohort. Additionally, we assessed the feature importance of our most effective model using the Shapley Additive Explanations (SHAP) method.ResultsIn our study of 202 patients, 28.7% (58 individuals) experienced poor outcomes after 6 months of standard therapy. We identified 11 significant predictors, encompassing both systemic inflammation indexes and clinical metrics. The extreme gradient boosting (XGBoost) model demonstrated the best performance, achieving an area under the receiver operating characteristic (ROC) curve (AUC) of 0.944. This was higher than that achieved by logistic regression (Logit) (AUC: 0.882), random forest (RF) (AUC: 0.917), support vector machines (SVM) (AUC: 0.872). Further refinement through SHAP analysis highlighted five critical determinants—two clinical indicators and three inflammation indexes—as crucial for assessing short-term prognosis in AChR-Ab+ GMG patients.ConclusionOur analysis confirms that the XGBoost model, integrating clinical indicators with systemic inflammation indexes, effectively predicts short-term prognosis in AChR-Ab+ GMG patients. This approach enhances clinical decision-making and improves patient outcomes.

Survival prediction in diffuse large B-cell lymphoma patients: multimodal PET/CT deep features radiomic model utilizing automated machine learning

PurposeWe sought to develop an effective combined model for predicting the survival of patients with diffuse large B-cell lymphoma (DLBCL) based on the multimodal PET-CT deep features radiomics signature (DFR-signature).Methods369 DLBCL patients from two medical centers were included in this study. Their PET and CT images were fused to construct the multimodal PET-CT images using a deep learning fusion network. Then the deep features were extracted from those fused PET-CT images, and the DFR-signature was constructed through an Automated machine learning (AutoML) model. Combined with clinical indexes from the Cox regression analysis, we constructed a combined model to predict the progression-free survival (PFS) and the overall survival (OS) of patients. In addition, the combined model was evaluated in the concordance index (C-index) and the time-dependent area under the ROC curve (tdAUC).ResultsA total of 1000 deep features were extracted to build a DFR-signature. Besides the DFR-signature, the combined model integrating metabolic and clinical factors performed best in terms of PFS and OS. For PFS, the C-indices are 0.784 and 0.739 in the training cohort and internal validation cohort, respectively. For OS, the C-indices are 0.831 and 0.782 in the training cohort and internal validation cohort.ConclusionsDFR-signature constructed from multimodal images improved the classification accuracy of prognosis for DLBCL patients. Moreover, the constructed DFR-signature combined with NCCN-IPI exhibited excellent potential for risk stratification of DLBCL patients.

Allogenic Adipose-Derived Mesenchymal Stem Cell Infusion for the Management of Acute-Onset Pancreatitis in Dogs: A Pilot Study

Mesenchymal stem cells (MSCs) have significant anti-inflammatory properties and are beneficial in rodent models of pancreatitis. The safety and efficacy of MSCs is unknown in dogs with acute pancreatitis (AP). Dogs with AP who were treated with MSCs (n = 4) were identified prospectively for this pilot study from an academic hospital. Serum Spec cPL and C-reactive protein (CRP) concentrations were measured on the day of MSC administration and 2 days later. The clinical severity, via the Modified Clinical Activity Index (MCAI), was also calculated. Two dogs received MSCs shortly after AP diagnosis, while the remaining dogs received MSCs due to clinically refractory disease. Changes in Spec cPL, CRP, and MCAI in the MSC-treated dogs were compared to a control population (n = 7) receiving the standard-of-care treatment for AP. No significant differences were noted between the populations for changes in Spec cPL (p = 0.79), CRP (p = 0.67), or MCAI (p = 0.91). However, subjective clinical improvements were noted within 24 h of MSC infusion in the two dogs with previously refractory disease. MSC infusions appear safe in the management of AP in dogs and may be considered in refractory disease. However, given the nature of this pilot study and its limitations, larger randomized controlled clinical trials are needed to truly evaluate the efficacy of MSC infusions in dogs with AP.

Metabolomic profiling reveals the step-wise alteration of bile acid metabolism in patients with diabetic kidney disease

BackgroundDiabetic kidney disease (DKD) is the major complication of diabetes concomitant with gut dysbiosis and glycometabolic disorder, which are strongly associated with bile acid (BA) metabolism. Yet studies investigating the BA metabolism involving in DKD pathogenesis are limited. This study aimed to explore the metabolomic profiling of BAs in DKD and analyze its association with DKD progression.MethodsAn ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method was established to quantify BAs in the plasma, fecal and urine samples of patients with DKD or T2DM and healthy individuals (n = 30 for each group). The key BAs associated with DKD were identified by orthogonal partial least-squares discriminant analysis (OPLS-DA) and receiver-operating characteristic (ROC) curve. Polynomial regression and Pearson’s correlation analyses were performed to assess the correlation between the key BAs and the clinical indicators reflecting DKD progression.ResultsMetabolomic profiling of 50 kinds of BAs presented the markedly step-wise alterations of BAs in plasma and feces as well as the little in urine of patients with DKD. Eight kinds of BAs in the plasma, eight kinds in the feces and three kinds in the urine were abnormally expressed, accompanying with the increased conjugated/unconjugated ratios of cholic acid, deoxycholic acid, chenodeoxycholic acid, ursodeoxycholic acid and hyocholic acid in the plasma, and of cholic acid, chenodeoxycholic acid and lithocholic acid in the feces. Moreover, the increased plasma level of glycochenodeoxycholic acid, and the increased fecal levels of glycolithocholic acid, 7-ketodeoxycholic acid and chenodeoxycholic acid-3-β-D-glucuronide are strongly correlated with the clinical indicators reflecting DKD progression, including eGFR, 24 h urinary protein and 24 h urinary microalbumin.ConclusionsOur study for the first time disclosed the specific alterations of BA metabolism reflecting the step-wise progression of DKD, providing the basis for early identification and therapeutical strategies for DKD.

Assessment of combined serum sST2 and AFP levels in the diagnosis of hepatocellular carcinoma

Background Hepatocellular carcinoma (HCC) is a common malignant tumor with high morbidity and mortality. Alpha-fetoprotein (AFP) is the most widely used diagnostic serum biomarker, but it still has limited accuracy in detecting HCC, suggesting the necessity of seeking more ideal biomarkers with high sensitivity and specificity. Soluble growth stimulation gene 2 (sST2) form of growth stimulating expression gene 2 (ST2), is expressed in various organs and can bind competitively to interleukin 33 (IL-33). Whether sST2 can serve as a serum biomarker for HCC is largely unknown. Objective To investigate the value of sST2 as a serum diagnostic marker for HCC. Methods This study included 93 newly diagnosed HCC patients (HCC group), 90 chronic hepatitis B patients (CHB group), and 90 healthy individuals (HCs group). Spearman correlation analysis was used to explore the relationships between sST2 and the experimental indicators in HCC group. The receiver operating characteristic (ROC) curve evaluated the efficacy of sST2 alone or in combination with AFP in the diagnosis of HCC. Result The median level of sST2 was significantly higher in HCC group (24.00 [15.20-49.90] ng/mL) compared to CHB group (19.55 [15.23-24.95] ng/mL) and HCs group (7.65 [5.20-10.53] ng/mL). No significant correlations were found between sST2 and other clinical indicators in HCC group. The Area Under Curve (AUC) of ROC curve to distinguish HCC patients from healthy controls and CHB group was 0.861 (sensitivity 82.80%, specificity 72.10%) and 0.709 (sensitivity 80.60%, specificity 52.50%), respectively. When combined with AFP, the AUC increased to 0.963 (sensitivity 82.90%, specificity 94.20%), and 0.895 (sensitivity 72.0%, specificity 100%), respectively. Conclusions The serum level of sST2 increased in HCC and its diagnostic performance is comparable to that of AFP, supporting its potential as a promising biomarker for detection of HCC. The combined use of sST2 and AFP enhances diagnostic efficacy for HCC.

Identification of plasma exosomal lncRNA as a biomarker for early diagnosis of gastric cancer

BackgroundThere were about 1,090,000 gastric cancer (GC) cases in 2020 in China. The incidence and mortality rates ranked the fifth and third among all kinds of cancers in China. Early diagnosis plays an important role in the treatment and prognosis of gastric cancer. In recent years, noninvasive diagnosis, especially plasma exosome lncRNAs, has become a promissing biomarkers with high specificity and sensitivity for early diagnosis of cancers.MethodsIn this study, plasma exosomes of patients with early gastric cancer were extracted efficiently by affinity membrane separation technology, including affinity adsorption, elution, affinity membrane regeneration and other steps. After identified by electron microscopy observation, particle size analysis and Western blot verification, the lncRNAs in the exosomes were extracted and were analysized by high-throughput RNA sequencing (RNA-Seq). The differentially expressed lncRNAs were verified by RT-qPCR in 93 patients with early gastric cancer and 49 normal controls.ResultsElectron microscopy, particle size analysis and Western blot showed that exosomes were successfully isolated from plasma. RNA-Seq results show that 76 lncRNAs were upregulated and 260 lncRNAs were downregulated in plasma exosomes of early gastric cancer patients compared with normal controls. RT-qPCR analysis indicated that a total of 6 lncRNAs were significantly and differentially expressed in gastric cancer patients compared to normal controls, with 2 (lncmstrg. 1319590, Lncmstrg. 2312697) highly expressed and 4 lowly expressed (lncmstr-g.1004024.1, lncmstrg. 2441832.8, lncmstrg. 315376.1, lncmstrg.907985.2,) (p < 0.05). The survival curve analysis indicated that lncmstrg.2441832.8 and lncmstrg.2312697 had higher sensitivity and specificity for the diagnosis of gastric cancer, respectively and AUC curve areas were 0.6211 and 0.631, p < 0.05, respectively, which were greater than the traditional clinical detection indexes CEA (0.61) and AFP (0.57). When combined lncmstrg.2441832.8 and lncmstrg.2312697 in gastric cancer diagnosis, AUC curve area reached 0.73, which was greater than CA199 (0.71).ConclusionLncmstrg.2441832.8 and lncmstrg.2312697 may be a potential and promissing biomarkers for early diagnosis of gastric cancer.

Multidimensional analysis of the impact of Gemmatimonas, Rhodothermus, and Sutterella on drug and treatment response in colorectal cancer

BackgroundColorectal cancer is the third most prevalent cancer across the globe. Despite a diversity of treatment methods, the recurrence and mortality rates of the disease remain high. Recent studies have revealed a close association of the gut microbiota with the occurrence, development, treatment response, and prognosis of colorectal cancer.ObjectiveThis study aims to integrate transcriptome and microbiome data to identify colorectal cancer subtypes associated with different gut microbiota and evaluate their roles in patient survival prognosis, tumor microenvironment (TME), and drug treatment response.MethodsAn integrated analysis of microbiome data was conducted on samples of colorectal cancer from public databases. Based on this, two tumor subtypes (C1 and C2) closely associated with patient survival prognosis were identified and a risk score model was constructed. The survival status, clinical parameters, immune scores, and other features were analyzed in-depth, and the sensitivity of various potential drugs was examined.ResultsA thorough examination of microbiome information obtained from colorectal cancer patients led to the identification of two primary tumor clusters (C1 and C2), exhibiting notable variations in survival outcomes. Patients with the C1 subtype were closely associated with better prognosis, while those with the C2 subtype had higher gut microbial richness and poorer survival prognosis. A predictive model utilizing the microbiome data was developed to accurately forecast the survival outcome of patients with colorectal cancer. The TME scores provided a biological basis for risk assessment in high-risk (similar to the C2 subtype) patient cohorts. Evaluation of the sensitivity of different subtypes to various potential drugs, indicated the critical importance of personalized treatment. Further analysis showed good potential of the developed risk-scoring model in predicting immune checkpoint functions and treatment response of patients, which may be crucial in guiding the selection of immunotherapy strategies for patients with colorectal cancer.ConclusionThis study, through a comprehensive analysis of colorectal cancer microbiome, immune microenvironment, and drug sensitivity, enhances the current understanding of the multidimensional interactions of colorectal cancer and provides important clinical indications for improving future treatment strategies. The findings offer a new perspective on improving treatment response and long-term prognosis of patients with CRC through the regulation of microbiota or the utilization of biomarkers provided by it.

Clinical correlates and pathology of non-diabetic renal disease in diabetes mellitus

Objectives: Early identification and differentiation of patients with non-diabetic renal disease (NDRD) from diabetic nephropathy (DN) or those with NDRD superimposed on DN improves the prognosis and reduces associated morbidity. The objectives of the study were to compare the clinical profile, nature of renal involvement, and etiopathogenesis (renal biopsy) of patients with isolated NDRD and NDRD superimposed on DN. Materials and Methods: It is a descriptive study in patients with T2D and renal involvement suggestive of non-diabetic etiology further evaluated with renal biopsy and grouped as NDRD alone or NDRD with DN. Results: Of the total 50, 66% were male, the mean age was 55.57 ± 12.28 years, and all were proteinuric. Overall, isolated NDRD and NDRD superimposed on DN were observed in 64% and 36% of patients, respectively. Diabetic retinopathy was absent in 82% of cases. The most common finding in isolated NDRD was membranous nephropathy, followed by immunoglobulin A (IgA) nephropathy and rapid progression of glomerular nephritis (RPGN). At the same time, in the NDRD and DN group, maximum patients displayed IgA nephropathy followed by acute tubular necrosis and RPGN. The incidence of atypical features of renal disease was almost twice as high in the isolated NDRD group than in the group with both NDRD + DN. Conclusion: NDRDs are highly prevalent, and DN may superimpose these. Recognizing NDRD solely on the basis of clinical indicators is challenging. Therefore, histopathological analysis seems essential to accurately diagnose NDRD in diabetic patients to reduce the probability of missed NDRD diagnosis and initiate prompt treatment.

Relationship between platelet count and severity of neonatal respiratory distress syndrome

BackgroundNeonatal respiratory distress syndrome (NRDS) is a primary cause of morbidity and mortality in premature infants. Platelets have a unique role in lung repair and remodeling. This study aimed to determine the relationship between platelet count and NRDS severity.MethodsThe study included 234 newborns diagnosed with NRDS from January 2019 to August 2023. This study employed two methods of grouping: the first based on platelet count, dividing participants into thrombocytopenia (platelet count < 150 × 109/L, n = 50) and non-thrombocytopenia groups (platelet count ≥ 150 × 109/L, n = 184), and the second based on the severity of NRDS, categorizing them into severe (n = 24) and mild-moderate (n = 210) groups. Within the first grouping method, the thrombocytopenia group was further subdivided into moderate-severe group (platelet count < 100 × 109/L, n = 4) and mild group (platelet count was between 100.0 × 109/L and 150.0 × 109/L, n = 46). This study aimed to analyze the clinical characteristics of NRDS with thrombocytopenia, explore the correlation between platelet count and clinical indicators of NRDS. Binary Logistic regression analysis was employed to identify independent risk factors for thrombocytopenia in NRDS.ResultsA higher proportion of newborns in the severe group exhibited thrombocytopenia (severe group = 41.7%, mild-moderate group = 19.0%). Hospital stay, ventilation time, oxygen therapy duration were longer in the thrombocytopenia group compared to the non-thrombocytopenia group. Hospital stay, ventilation time, oxygen therapy duration, chest radiography score, and C-reactive protein (CRP) levels were inversely associated with platelet count. Conversely, Apgar scores at 1 and 5 min, gestational age, and birth weight showed positive correlations with platelet count. Point-biserail correlation showed that thrombocytopenia was more likely to occur in newborns whose mothers had gestational hypertension, and the lower platelet count, the more severe NRDS. Oxygen therapy duration, birth weight < 1500 g, gestational hypertension and CRP levels emerged as independent risk factors for thrombocytopenia in NRDS. All differences were statistically significant (p all < 0.05).ConclusionNRDS accompanied by thrombocytopenia indicates a more severe condition and poorer clinical outcomes. It is hypothesized that NRDS with thrombocytopenia involves a complex multifactorial etiology, including severe lung inflammation.

Differences in the DNA methylome of T cells in adults with asthma of varying severity

BackgroundDNA methylation plays a critical role in asthma development, but differences in DNA methylation among adults with varying asthma severity are less well-defined.ObjectiveTo examine how DNA methylomic patterns differ among adults with asthma based on asthma severity and airway inflammation.MethodsPeripheral blood T cells from 35 adults with asthma in Beijing, China, were serially collected over time (130 samples total) and analyzed for global DNA methylation using the Illumina MethylationEPIC Array. Differential methylation was compared among subjects with varying airway inflammation and severity, as measured by fraction of exhaled nitric oxide, forced expiratory volume in one second (FEV1), and Asthma Control Test (ACT) scores.ResultsSignificant differences in DNA methylation were noted among subjects with different degrees of airway inflammation and asthma severity. These differences in DNA methylation were annotated to genes that were enriched in pathways related to asthma or T cell function and included gene ontology categories related to MHC class II assembly, T cell activation, interleukin (IL)-1, and IL-12. Genes related to P450 drug metabolism, glutathione metabolism, and developmental pathways were also differentially methylated in comparisons between subjects with high vs low FEV1 and ACT. Notable genes that were differentially methylated based on asthma severity included RUNX3, several members of the HLA family, AGT, PTPRC, PTPRJ, and several genes downstream of the JAK2 and TNF signaling pathway.ConclusionThese findings demonstrate how adults with asthma of varying severity possess differences in peripheral blood T cell DNA methylation that contribute to differences in clinical indices of asthma.

Investigating the Causal Effects of Exercise-Induced Genes on Sarcopenia

Exercise is increasingly recognized as an effective strategy to counteract skeletal muscle aging and conditions such as sarcopenia. However, the specific exercise-induced genes responsible for these protective effects remain unclear. To address this, we conducted an eight-week aerobic exercise regimen on late-middle-aged mice and developed an integrated approach that combines mouse exercise-induced genes with human GWAS datasets to identify causal genes for sarcopenia. This approach led to significant improvements in the skeletal muscle phenotype of the mice and the identification of exercise-induced genes and miRNAs. By constructing a miRNA regulatory network enriched with transcription factors and GWAS signals related to muscle function and traits, we focused on 896 exercise-induced genes. Using human skeletal muscle cis-eQTLs as instrumental variables, 250 of these exercise-induced genes underwent two-sample Mendelian randomization analysis, identifying 40, 68, and 62 causal genes associated with sarcopenia and its clinical indicators—appendicular lean mass (ALM) and hand grip strength (HGS), respectively. Sensitivity analyses and cross-phenotype validation confirmed the robustness of our findings. Consistently across the three outcomes, RXRA, MDM1, RBL2, KCNJ2, and ADHFE1 were identified as risk factors, while NMB, TECPR2, MGAT3, ECHDC2, and GINM1 were identified as protective factors, all with potential as biomarkers for sarcopenia progression. Biological activity and disease association analyses suggested that exercise exerts its anti-sarcopenia effects primarily through the regulation of fatty acid oxidation. Based on available drug–gene interaction data, 21 of the causal genes are druggable, offering potential therapeutic targets. Our findings highlight key genes and molecular pathways potentially responsible for the anti-sarcopenia benefits of exercise, offering insights into future therapeutic strategies that could mimic the safe and mild protective effects of exercise on age-related skeletal muscle degeneration.

The potential of platelet to high-density lipoprotein cholesterol ratio (PHR) as a novel biomarker for heart failure

Heart failure (HF) is closely linked to platelet counts and lipid levels. The platelet-to-high-density lipoprotein cholesterol ratio (PHR) is a novel marker for assessing cardiovascular disease. This study investigates the relationship between PHR and HF. We analyzed data from ten consecutive NHANES survey cycles (1998–2018), focusing on self-reported HF diagnoses with complete PHR information. PHR was calculated as platelet count divided by HDL-C (mmol/L). A multivariate logistic regression model was used to examine the association between PHR and HF, with subgroup analyses to identify potential influencing factors. RCS curve plotting and threshold effect analysis were employed to describe non-linear relationships. The study included 31,410 adults aged 20–85 years. The multivariate logistic regression indicated that individuals with the highest PHR had 82% increased likelihood of HF compared to those with the lowest PHR (OR = 1.82; 95% CI, 1.37–2.40, P < 0.001). Subgroup analyses revealed no significant interactions between PHR and specific subgroups (P > 0.05), except in those with alcohol consumption (yes/no) and BMI subgroups (P < 0.05). The association between PHR and HF was non-linear, with a notable turning point at 281.53. Elevated PHR is significantly associated with HF, suggesting it may serve as an effective clinical indicator for monitoring HF risk. Larger prospective cohort studies are needed to validate these findings and further assess the clinical utility of PHR in cardiovascular risk assessment.

12261 Association Of Geographic And Demographic Factors With Receipt Of Endocrinology Care Among Adults With T2D And ASCVD Before And After Telemedicine Uptake

Abstract Disclosure: M. Zupa: None. J. Bauer: None. S. Rothenberger: None. Y. Zheng: None. A. Johnson: None. E. Kinnee: None. A. Rosland: None. Care from endocrinologists has been linked to improved care quality and uptake of novel treatments which may improve outcomes for adults with T2D and ASCVD, who are at high risk for adverse health outcomes. However, transportation, geographic, and other barriers may impact access to specialty care for under-resourced populations. We sought to evaluate the impact of patient-level geographic and sociodemographic factors on receipt of endocrinology care before and after widespread telemedicine uptake. We conducted a retrospective cohort study of adults with T2D and ASCVD in a large health system from 1/2018-6/2022. ZIP Code centroids were used to map patients to their home geographic area, and multivariable logistic regression models evaluated associations between sociodemographic and geographic predictors with receipt of endocrinology care. Analyses were stratified into pre- (1/1/2018-3/15/20) and post- (3/16/2020-6/30/2022) telemedicine periods. Mixed effects models tested for differences in associations between the pre- and post-telemedicine periods. The cohort included 9,546 patients, with mean age 68.5 (SD 10.0), 39% female, 89% white, 83% urban residents; 1,725 patients received endocrinology care. In the pre-telemedicine period, geographic factors associated with receipt of endocrinology care included distance to the nearest endocrinology clinic (aOR 0.74 (95% CI 0.64-0.84) per 10 miles) and neighborhood walkability (aOR 1.38 (1.00-1.91) per 10 point increase on 0-20 scale); sociodemographic factors included age (aOR 0.70 (0.66-0.75 per 10 years), male gender (aOR 0.81 (0.72-0.92), race (aOR 1.21 for Black vs white, aOR 2.55 for Asian vs white, p=0.003), social deprivation index (0.95 (0.91-0.99) per 10 point increase on 0-100 scale, with higher values indicating more local area deprivation), and comorbidity burden (aOR 1.27 (1.02-1.59) for Elixhauser score 14+ vs &amp;lt;0, p&amp;lt;0.001). In the post-telemedicine period, distance to endocrinology clinic (aOR 0.82 (0.73-0.93) per 10 miles), age (aOR 0.67 (0.63-0.71) per 10 years), male gender (aOR 0.83 (0.74-0.94)), and comorbid conditions (aOR 1.13 (0.90-1.43) for Elixhauser score 14+ vs &amp;lt;0, p&amp;lt;0.001) were associated with receipt of endocrinology care. In mixed models comparing pre- vs. post-telemedicine periods, travel distance to endocrinology clinic, race, and social deprivation index had weaker associations with receipt of endocrinology care in the post-telemedicine period compared to pre-telemedicine, while older age was more negatively associated with care receipt post-telemedicine. These findings indicate that both geographic and sociodemographic factors impact receipt of endocrinology care among high-risk adults with T2D and ASCVD. Widespread availability of telemedicine may be associated with more equitable access to endocrinology care for some under-resourced populations. Presentation: 6/3/2024

Modern CRRT systems are associated with lower risk of hypothermia.

One risk of continuous renal replacement therapy (CRRT) is inadvertent hypothermia (IH), which is defined as a non-therapeutic core temperature decrease below normal. In continuous renal replacement therapy, heat loss will always occur from blood pumped through the dialysis circuit to cooler environment, predisposing for hypothermia. Blood flow and effluent flows are the most important parameters causing heat loss. We investigated and compared the novel TherMax warmer to previous generation technologies during CRRT in a multicenter setting. This was a prospective observational multicenter study with historic single-center controls. The study group consisted of 100 patients in eight Swedish ICUs with clinical indication for CRRT, using the PrisMax platform and TherMax warmer. Both patient and set warmer temperatures were recorded hourly for the first 24h. The presence of treatment hours in hypothermia (< 36.0 Celsius) and the difference between set warmer temperature and measured patient temperature in the multi-center study cohort were compared to a matched single-center historic control cohort treated with the old Prismaflex platform and adjacent Barkey warmer. In the TherMax group 77/100 (77.0%) of patients, and for controls 26/86 (30.2%) of patients were free of hypothermia (Chi square, p < 0.001). The mean number of hours spent in hypothermia was (mean ± SD) 0.66 ± 1.60 and 6.92 ± 7.79h in the TherMax and control groups, respectively (Chi square p < 0.001).In the study group the patient temperature was higher than the set temperature on the warmer with a difference of Δ0.47 ± 0.80°C (minor difference), whereas in the control group the set temperature on the warmer was higher than the patient temperature with a difference of Δ4.55 ± 1.00°C (over-correction).The novel TherMax warmer technology protected against hypothermia and was significantly more accurate than the Barkey warmer.

12326 Is Non-functional Adrenal Incidentaloma (AI) Benign Or A Long-haul Culprit?

Abstract Disclosure: J. Mehta: None. F. Rauf: None. C. Salafia: None. S. Salam: None. R.K. Trousdale: None. I. Sachmechi: None. Introduction: Patients with non-functional AI have adrenal tumors that are incidentally discovered during abdominal imaging performed for clinical indications unrelated to adrenal glands and their AM serum cortisol post overnight 1 mg dexamethasone suppression test (DST) are ≤1.8µg/dL. There has been emerging evidence that non-functional AI may pose cardiometabolic risks. Hypothesis: Patients considered to have non-functional AI have increased cardiometabolic risks as compared to patients without AI. Methodology: A cohort study via retrospective chart review utilizing electronic medical records across NYC Health and Hospitals sites. The data collection was from 1/1/2000 to 7/31/2022 and 2965 records were reviewed. Primary composite outcome assessed was the presence of at least one out of hypertension, peripheral vascular disease, coronary artery disease, transient ischemic attack or cerebral vascular accident. Target had patients considered to have non-functional AI and ≥5-year follow-up, and the three target cohorts categorized based on AM serum cortisol post 1mg overnight DST were: Target Cohort 1: 0 to 1µg/dL (lower limit inclusive and upper limit exclusive), Target Cohort 2: 1 to 1.5µg/dL, and Target Cohort 3:1.5 to 1.8µg/dL. Control had patients from general adult population with absence of adrenal incidentaloma, absence of pregnancy during the time points of chart review and presence of ≥5-year follow-up. Two by two comparisons were made between target (N=76) versus control (N=100) at baseline and ≥5-year follow-up. The target cohorts were also compared individually against control at baseline and ≥5-year follow-up. Results: Mean age for target and control at follow-up were 64.4 (±12.1) and 56.2 (±14.2) years respectively (association between age and target versus control status of p=0.001). 54% of target had primary outcome at baseline, compared to 36% of control (p=0.017). When target cohorts were compared individually against control at baseline, 70% of Target Cohort 2 had primary outcome compared to 36% of control (p=0.0003). At follow-up, 68% of Target Cohort 2 had primary outcome compared to 47% of control (p=0.028). Discussion and Conclusion: Patients considered to have non-functional AI show correlations between target status and age, and target status and primary outcome. This study’s results clearly show that patients considered to have non-functional AI are not free of their cortisol’s adverse cardiometabolic effects. Non-functional AI, along with Cushing’s and subclinical Cushing’s syndromes, may present a continuum of cortisol secretion that poses cardiometabolic risks. Current clinical guidelines may require re-evaluation such that patients considered to have non-functional AI are monitored regularly for an early diagnosis, prevention and management of cardiometabolic outcomes. Presentation: 6/3/2024

7874 Management Of “Hyperandrogenism” Confounded By Dermatology Biotin Prescriptions

Abstract Disclosure: S.S. Sundar: None. S. Shankar: None. M.S. Vaishnav: None. L. Lekkala: None. S. Sathyanarayana: None. C. Siddlingappa: None. K. M: None. T.-. Kamala: None. R.B. V: None. V. Nath: None. M.D. Chitra: None. P. Ravikumar: None. Introduction: Immunoassay interferences include: Cross-reactions, heterophile antibodies, biotin and anti-analyte antibodies, with positive or negative bias, leading to difficulties in clinical decision-making (confounding diagnosis, unnecessary investigations or inappropriate treatments). The interfering substance may be exogenous (e.g., drug or substance absorbed by patient) or endogenous (e.g., antibodies produced by patient). Clinical Case 2023 Dec 1 Dermatology management for hyperandrogenism 28-year-old female evaluated for acne 3 years (increased 4 months), hair fall 6 months and hirsutism 3 years (threading) Total Testosterone 443 ng/dL (10-55) CLIA Free Testosterone 8.9 pg/mL (0.1-6.4) ELISA DHEAS 209 µg/dL (35-430) CLIA S Cortisol 8 am 6.9 µg/dL (2.6-10.5) CLIA LH 4.2 mIU/mL (1.9-12.5); FSH 5.3 mIU/mL (3.0-8.0) T3 133 ng/dL (80-200); T4 8.5 ug/dL (4.8-12.7), TSH 3.78 µIU/mL (0.5-5.3) HbA1c 5.0%; Glucose fasting 81 mg/dL; Insulin fasting 39.4 mU/L (3-25); HOMA-IR 5.2; HOMA%B 380; HOMA%S 19.2; T3 133 ng/dL (80-200) 2023 Dec 14 Endocrinology for “scaringly” very high testosterone levels Menstrual history: Menarche 11 years; Cycles regular. Unmarried Family history: Diabetes++; Hirsutism+; Infertility- Physical exam: Height 159 cm; Weight 55 kg; BMI 21.8 kg/m2; Ferriman Gallwey score 11; Pulse 75; BP 79/62; Thyroid: Grade 0. In view of total testosterone levels in “neoplastic androgen excess” range, further endocrinology evaluations (multiple labs and assays) were carried out. However, discordance between the mild clinical versus severe biochemical hyperandrogenism was noted. Review of the dermatology prescription indicated that patient had consumed only one 10 mg tablet of biotin 36 hours before the earlier blood draw obtained by dermatologist. Total Testosterone 22.3 and 33.8 ng/dL (6-82) ECLIA; 19.7 (15-70) LCMS Free Testosterone 0.69 pg/mL (&amp;lt; 2.85) (ELISA) DHEAS 101 µg/dL (45-380) LCMS Androstenedione 104 ng/dL (75-205) LCMS 17OH Progesterone 0.89 ng/mL (0.16-2.05) EIA; 0.40 (0.35-2.9) LCMS S Cortisol 5.92 ug/dl (6-18) ECLIA; 5.45 (5-23) LCMS FSH 2.74; LH 6.07; Prolactin 20.1 ng/mL (4.7-23.3) T3 114 ng/dL; T4 7.2 µg/dL; TSH 1.29 Diagnosis Falsely elevated total testosterone (and free testosterone) levels due to biotin immunoassay interference. Clinical Lessons: Very limited studies exist confirming the exact clinical indications for biotin (eg: improvement of hair quality or quantity, or nail growth). FDA warning highlights biotin’s interference (false elevations or reductions) with immunoassays relying on biotin-streptavidin technology. Physicians must ask patients about supplement usage, and discontinue biotin for 8 hours for patients taking 10 mg/day, 3 days for 100-300 mg/day, 7 days for children taking 2 and 15 mg/kg/daily, and inform laboratory if diagnostic test was performed while taking biotin. Presentation: 6/2/2024