Profile Of Patients Research Articles

Serum High Mobility Group Box1 Protein and Toll-like Receptor 4 Correlation with Lipid Profile in Patients with Non-alcoholic Fatty Liver Disease

Serum High Mobility Group Box1 Protein and Toll-like Receptor 4 Correlation with Lipid Profile in Patients with Non-alcoholic Fatty Liver Disease

Health insurance and clinical outcomes in patients with chronic heart failure in Latin America: an observational study of the Colombian Heart Failure Registry (RECOLFACA).

The effect of the health insurance type on the prognosis of heart failure (HF) patients in Colombia and Latin America is poorly known. We aimed to analyze the characteristics of HF patients that participated in the Colombian Heart Failure Registry (RECOLFACA) as stated by their health insurance type and their relationship with the immediate prognosis of these patients. Patients with HF diagnosis were included in the RECOLFACA registry between 2017-2019. The registry was conducted in 60 centers in Colombia. All-cause mortality was the principal outcome. To evaluate the impact of health insurance on mortality, a Cox proportional hazards regression model was used. The Kaplan-Meier analysis was performed to compare survival probabilities according to insurance type. All statistical analyses were two-tailed and were considered significant with a p value < 0.05. Of the 2,528 participants enrolled in the registry, 99% held details about their health insurance. Of those, 897 patients (35.6%) were covered by public insurance. These patients were significantly younger, with a lower proportion of men, more frequently from rural origin, and lower prevalence of most comorbidities (omitting hypertension, chronic obstructive pulmonary disease (COPD), and Chagas disease) than those with private insurance. Furthermore, patients with public insurance had a worse functional class, as well as a poorer quality of life, and lower frequency of use of implantable devices, while exhibiting similar prescription rates of triple medical therapy for HF. Finally, no differences in short-term mortality were observed between the two groups (HR 1.09; 95% CI 0.79, 1.51). The type of health insurance represents a condition related with relevant differences in the profile of patients with HF in Colombia. Despite this, no significant differences were detected in the short-term prognosis of these patients based on the type of health insurance.

Effect of betahistine on pro-inflammatory cytokine expression in autoimmune inner ear disease and Meniere's disease patients.

Betahistine is a partial H1 receptor agonist and a potent H3 receptor antagonist commonly used for the treatment of MD and peripheral vertigo. The aim of this study was to investigate the impact of betahistine on the salt induced cytokine expression profiles of AIED and MD patients. Peripheral blood mononuclear cells (PBMCs) were obtained from 24 patients with autoimmune inner ear disease (AIED) or Meniere's disease (MD) during an acute exacerbation of hearing loss. These PBMCs were cultured with 80 mM NaCl or a combination of 80 mM NaCl and betahistine and IL-1β and IL-6 expression were measured by real time PCR and ELISA. In most patients, IL-1β expression in response to NaCl exceeded the unstimulated condition and this expression was abrogated by the addition of betahistine, which was statistically significant at p = .004. mRNA expression of IL-1β was not reduced when samples were treated with both salt and betahistine compared to samples treated with salt alone, inferring the mechanism of betahistine-mediated IL-1β suppression is post-translational. Similarly, IL-6 cellular release was augmented with salt exposure and reduced with co-culture of betahistine. Unlike IL-1 however, betahistine appeared to reduce IL-6 mRNA expression. We observe that betahistine abrogates salt-induced IL-1β expression, suggesting an additional treatment option for AIED and MD patients with inflammatory mediated disease. Level 4.

Cost and Cost Effectiveness of Treatments for Psoriatic Arthritis: An Updated Systematic Literature Review.

Psoriatic arthritis (PsA) is an inflammatory disease characterised by a variety of clinical manifestations. Considering the economic burden posed by PsA and the increasing number of treatment options, economic evaluations are required to better allocate available resources. This work aims to update a previous published literature review on PsA cost-of-illness and cost-effectiveness analysis. A search was performed of English-language literature between January 2017 and March 20, 2024 in Medline/PubMed, Embase and Cochrane library using the terms 'psoriatic arthritis', 'cost of illness' and 'cost effectiveness'. Data on decision model, time horizon, population, treatment options, perspective, type of costs, relevant results and authors' conclusion were extracted from the reviewed articles. Finally, the quality of the included studies was evaluated. Twenty-seven studies met the inclusion criteria: 16 cost-of-illness and 11 cost-effectiveness/cost-utility analyses. PsA is characterised by high direct and indirect costs. Drug costs as well as hospitalisation and absenteeism were the major drivers of the observed costs. The cost-effectiveness analyses reported the dominance or the cost effectiveness of biologic therapies compared with non-biologic PsA treatment. Biological options like bimekizumab and ixekizumab have demonstrated a better cost-effectiveness profile in PsA patients compared with other treatments (i.e., other biological treatments). There was an increased number of economic evaluations compared with the previous review. PsA is still associated with significant economic burden worldwide. The main cost was represented by therapies, specifically biological therapies. Amongst the biological therapies, bimekizumab and ixekizumab appear to provide the most economic benefit. Finally, new economic studies are needed to enrich knowledge on the economic burden of subgroups of PsA patients as well as early treatment of PsA with new therapies.

Incident cardiovascular disease risk among older Asian, Native Hawaiian and Pacific Islander liver cancer survivors

BackgroundCardiovascular disease (CVD) is a significant global health concern, particularly among Asian, Native Hawaiian, and Pacific Islander (ANHPI) communities that face unique health challenges. Liver cancer disproportionately affects ANHPI populations and has intricate associations with CVD risks due to shared pathophysiological mechanisms and metabolic disturbances. However, the specific CVD risk profile of ANHPI liver cancer patients remains poorly understood. MethodsUsing Surveillance, Epidemiology, and End Results (SEER)-Medicare data, we identified and matched 1150 ANHPI and 2070 Non-Hispanic White (NHW) liver cancer patients diagnosed between 2000 and 2017. We used the Fine-Gray sub-distribution hazard model to estimate hazard ratios (HRs) and 95 % confidence intervals (95 % CIs) for CVD risks, including ischemic heart disease (IHD), heart failure, and stroke, among ANHPI liver cancer patients compared to NHW counterparts and among ANHPI subgroups. ResultsANHPI liver cancer patients demonstrated a lower risk of IHD compared to NHW counterparts (HR, 0.65, 95 % CI, 0.50, 0.86), aligning with broader trends. Subgroup analysis revealed notable heterogeneity within ANHPI populations, with Southeast Asian (HR, 0.65, 95 % CI, 0.42, 1.00) and Chinese patients (HR, 0.53, 95 % CI, 0.33–0.83) exhibiting lower IHD risks compared to their NHW counterparts. However, Native Hawaiian and Pacific Islander liver cancer patients showed elevated risks of heart failure (HR, 3.16, 95 % CI, 1.35–7.39) and IHD (HR, 5.64, 95 % CI, 2.19–14.53) compared to their Chinese counterparts. ConclusionOur study highlights the complexity of CVD risks among ANHPI liver cancer patients. Addressing these disparities is crucial for improving cardiovascular outcomes and reducing the burden of CVD among ANHPI liver cancer patients.

Correlation of NAT10 expression with clinical data and survival profiles in esophageal squamous cell carcinoma patients, and its impact on cell proliferation and apoptosis.

This study investigates the association between NAT10 expression and clinical parameters while assessing prognostic outcomes in esophageal squamous cell carcinoma (ESCC) patients. Furthermore, the study seeks to elucidate the functional role of NAT10 in neoplastic cell proliferation and apoptosis. NAT10 expression was assessed in ESCC tissue microarrays through immunohistochemistry (IHC) tests. We employed SPSS software to analyze the correlation between NAT10 staining data, clinical indicators, and their implications for patient prognosis. Small interference RNA (siRNA) was utilized to inhibit NAT10 expression in two esophageal cancer cell lines, TE-1 and KYSE150. Subsequently, we meticulously quantified and compared cellular proliferation and apoptotic ratios among experimental groups. NAT10, Ki67, and Caspase3 expression levels in different groups were evaluated using quantitative polymerase chain reaction (qPCR) and Western blot (WB) assays. Statistical analyses were conducted using GraphPad Prism software, with significance at P<0.05. Our findings indicate that NAT10 is overexpressed in ESCC tissues and exhibits a significant correlation with tumor diameter and overall patient survival. Decreasing NAT10 expression led to the inhibition of tumor cell proliferation and the promotion of apoptosis. Furthermore, siRNA-mediated NAT10 inhibition resulted in the downregulation of Ki67 expression and the concomitant upregulation of Caspase3. The observed overexpression of NAT10 in ESCC tissues is associated with larger tumor diameters and reduced patient survival. NAT10 appears to play a pivotal role in the progression of esophageal cancer by influencing cell proliferation and apoptosis. These findings suggest potential clinical implications, with Ki67 and Caspase3 potentially participating in this intricate molecular biological process.

Multi Modal AI-Driven System for Enhanced Neurological Detection Using EEG, Retinal, and Brain Imaging Data

This study presents a novel approach to detecting neurological disorders by integrating electroencephalogram (EEG) signal analysis with retinal scans, brain imaging techniques (MRI and CT), and patient-reported data. The primary objective is to develop an AI-driven diagnostic tool that utilizes multi-modal data fusion and deep learning for feature extraction, significantly enhancing diagnostic accuracy and supporting personalized patient profiles. Advanced deep learning architectures are employed to identify meaningful patterns from each data source, while innovative fusion techniques synthesize these patterns to deliver comprehensive assessments. Key outcomes demonstrate substantial improvements in diagnostic precision, early detection capabilities, and real-time monitoring, facilitating timely clinical decision support. Validation through extensive testing on diverse datasets confirms a marked increase in diagnostic accuracy. The practical implications of this system include the early and accurate detection of neurodegenerative diseases, epilepsy, and psychiatric disorders, ultimately contributing to improved patient outcomes and tailored healthcare solutions.

Artificial intelligence measured 3D lumbosacral body composition and clinical outcomes in rectal cancer patients.

Patient body composition (BC) has been shown to help predict clinical outcomes in rectal cancer patients. Artificial intelligence algorithms have allowed for easier acquisition of BC measurements, creating a comprehensive BC profile in patients using data from an entire three-dimensional (3D) region of the body. This study has utilized AI technology to measure BC from the entire lumbosacral (L1-S5) region and assessed the associations between BC and clinical outcomes in rectal cancer patients who have undergone neoadjuvant therapy followed by surgery. A retrospective, cross sectional analysis was performed on locally advanced rectal cancer (LARC) patients treated with neoadjuvant long-course chemoradiotherapy followed by curative resection with total mesorectal excision at a tertiary referral centre, Western Health, Melbourne, Australia. A pre-trained and validated in-house AI segmentation model was used to automatically segment and measure intramuscular adipose tissue (IMAT), visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and skeletal muscle (SM) from CT slices across the entire L1-S5 level of each patient. Multivariate analysis between patient BC and clinical outcomes was performed. Two hundred and fourteen patients were included in the study. One hundred and fifty-one (70.6%) patients were male and 63 (29.4%) patients were female. The average age at diagnosis was 62.4 (±12.7) years. SM density, but not volume, was associated with better overall survival (OS) (HR 0.24, P = 0.029), recurrence-free survival (RFS) (HR 0.45, P = 0.048) and decreased length of stay (LoS) (HR 1.58, P = 0.036). Both IMAT volume (HR 0.13, P = 0.008) and density (HR 0.26, P = 0.006) were associated with better OS. This study measured 3D BC from the entire lumbosacral region of rectal cancer patients. SM density was the most significant BC parameter, and was associated with improved OS, RFS and LoS. This adds to growing evidence that SM is a key component of BC in cancer patients and should be optimized prior to treatment. IMAT was also a prognostic factor, giving rise to avenues of future research into the role of adiposity on nutrition and tumour immunology.

Effects of saffron (Crocus sativus L.) supplementation on cardiometabolic Indices in diabetic and prediabetic overweight patients: a systematic review and meta-analysis of RCTs.

The incidence of diabetes mellitus (DM) is increasing worldwide, and there is growing interest in the potential use of natural compounds as an alternative treatment for managing DM. Several research studies have investigated the impact of saffron consumption on managing and improving metabolic profiles in patients with DM, and they have shown promising results. The study aims to systematically review and perform a meta-analysis to evaluate the potential effects of saffron and its extract on cardiometabolic indicators in diabetic and prediabetic overweight patients. We conducted a comprehensive systematic review and meta-analysis, searching PubMed, Scopus, Web of Science, Embase, and Google Scholar for all relevant studies published before April 20, 2024. We extracted weighted (WMD) or standardized (SMD) mean differences (before-after) and 95% confidence intervals (95%CI) of the outcomes and conducted meta-analyses using R. The study protocol was registered in PROSPERO (CRD42024538380). Out of the studies screened, 15 RCTs were selected for inclusion in the systematic review and meta-analysis. These studies collectively involved 869 participants, 438 in the intervention group and 431 in the control group. Notably, our results showed that saffron supplementation led to significant changes in FBS (MD: - 8.75mg/dL, 95% CI [- 14.75; - 2.76], P < 0.01), HbA1C (MD: - 0.34%, 95% CI [- 0.39; - 0.9], P < 0.01), TG (MD: - 13.28 mg/dL, 95% CI [- 22.82; - 3.75], P < 0.01), SBP (MD: - 5.33 mmHg, 95% CI [- 8.99-1.67], P = 0.04), DBP (MD: - 1.02 mmHg, 95% CI [- 3.91; 1.86], P = 0.03), AST (MD: - 1.32 IU/L, 95% CI [- 1.72, - 0.93], P < 0.01) levels in T2DM patients compared to placebo or no supplementation, indicating its potential as a therapeutic intervention. However, there was no significant effect on Insulin secretion (MD: - 0.15 µU/ml, 95% CI [- 2.1763; 1.8689], P = 0.88), HOMA (MD: - 0.35%, 95% CI [- 1.34;0.63], P = 0.48), TC (MD: - 4.86 mg/dL, 95% CI [- 9.81-0.09], P = 0.54), HDL (MD: 0.18 mg/dL, 95% CI [- 0.93; 1.29], P = 0.74), LDL (MD: - 1.77 mg/dL, 95% CI [- 5.99-2.45], P = 0.41), TNF-α (MD: - 0.34 pg/mL, 95% CI [- 0.99-0.30], P = 0.29), creatinine (MD: 2.83 mg/dL, 95% CI [2.29, 3.37], P = 0.31) and BUN (MD: - 0.44 mg/dL, 95% CI [- 1.43, 0.55], P = 0.38). Saffron may improve specific CMI indices in overweight patients with diabetes or prediabetes, including significant reductions in FBS, HbA1C, TG, SBP, and AST. However, it did not significantly affect HDL, TC, LDL, insulin secretion, HOMA, DBP, TNF-α, ALT, Cr, or BUN. Further research with more trials and extended follow-up periods is needed to confirm and expand these findings.

Pharmacokinetics of Tarlatamab, a Delta-Like Ligand-3 (DLL3) Targeted Half-Life Extended Bispecific T-Cell Engager (BiTE®) Immunotherapy in Adult Patients with Previously Treated Small-Cell Lung Cancer: Results from DeLLphi-300, a Phase I Multiple-Dose-Escalation Study.

Tarlatamab binds to delta-like ligand 3 on cancer cells and cluster of differentiation-3 on T cells, leading to T-cell-mediated tumor lysis, and has demonstrated a promising safety and efficacy profile in patients with previously treated small-cell lung cancer (SCLC). Here, we present pharmacokinetic results from DeLLphi-300 (NCT03319940), an ongoing international, open-label, first-in-human study in previously treated adult patients with SCLC. Multiple escalating doses of tarlatamab were administered every 2 weeks (Q2W; 0.003, 0.01, 0.03, 0.1, 0.3, 1, 3, 10, 30, and 100 mg) in a 28-day cycle. To reduce the risk of cytokine-release syndrome, starting at the 3 mg dose level, a step dose regimen was employed consisting of a 1 mg infusion on cycle 1 day 1 (C1D1), followed by the target dose on C1D8, C1D15, and Q2W thereafter. All doses were infused over 1 h. Other tarlatamab dosing regimens were also explored, either for patient convenience (every 3 weeks) or to mitigate cytokine-release syndrome (extended intravenous infusion over a period of 3 days). Intensive pharmacokinetic samples were collected during cycles 1 and 2, and additional samples for pharmacokinetic and immunogenicity measurement were collected at regular intervals in later cycles. Pharmacokinetic data were analyzed using noncompartmental analysis, and antidrug antibody (ADA) incidence, including any effect on tarlatamab pharmacokinetic parameters, was summarized. Pharmacokinetic data were available from 203 patients. The median age was 62 years (range 32-80), and 55.7% (n = 113) of patients were male, 78.3% (n = 159) were white, and 8.3% (n = 17) were of Japanese descent. Following intravenous infusion, serum tarlatamab concentrations declined with time in a biphasic manner. Serum exposures increased in an approximately dose-proportional manner across the evaluated target dose range with a mean (standard deviation) estimated terminal phase elimination half-life of 5.8 (1.6) days, and steady state achieved by approximately C2D15. Of the 183 evaluable patients, 12 (6.6%) developed treatment-emergent ADAs; the distribution of dose-normalized serum concentrations were similar between patients who were ADA positive and ADA negative. In addition, the distribution of exposures was comparable in Japanese and non-Japanese patients. In patients with previously treated SCLC, tarlatamab demonstrated dose-proportional pharmacokinetic and extended half-life characteristics that support a Q2W dosing interval. Neither Japanese race nor ADA had a clinically relevant impact on exposures.

The Impact of Surgical Timing on Outcomes in Patients Undergoing Arteriovenous FistulaCreation for Hemodialysis. A Meta-analysis

Background: Arteriovenous fistula (AVF) creation is the preferred method for vascular access in hemodialysis patients, offering better long-term patency, fewer complications, and lower infection rates compared to other options. However, the timing of AVF creation plays a critical role in determining outcomes. This meta-analysis examines the impact of surgical timing on AVF success, focusing on primary failure rates, maturation time, patency, and postoperative complications. Objectives: We sought to evaluate whether the timing of AVF creation impacts outcomes in hemodialysis patients and to provide evidence-based recommendations for clinical practice. Methods: Following PRISMA guidelines, a comprehensive meta-analysis was conducted from major databases (PubMed, Embase, Cochrane) until 2024 that included data. We selected studies based on defined criteria, and assessed for quality using the Newcastle-Ottawa Scale and Cochrane Risk of Bias tool. Primary failure rates, maturation time, primary and secondary patency and postoperative complications were analyzed as outcomes. Heterogeneity was addressed with random effects models, and subgroup analyses were carried out on the basis of patient characteristics. Results: Early AVF creation (creating an AVF ≥ 6 months prior to dialysis initiation) was shown to reduced primary failure rate by 50%, shortened maturation time by 2 to 3 weeks and increase primary patency rates by up to 35%. Early AVF creation, on the other hand, was also accompanied by fewer postoperative complications, including infection and thrombosis, versus delayed AVF creation. Consistent benefits were seen for different patient profiles in subgroup analyses. Conclusion: Early AVF creation is associated with superior outcomes, including lower failure rates, quicker maturation, and fewer complications. These findings support early AVF as the preferred practice in hemodialysis care, enhancing long-term patient outcomes and quality of care.

A small-scale preliminary study utilizing mass cytometry to distinguish two forms of arthritis.

Spondyloarthritis (SpA) and rheumatoid arthritis (RA) are hallmarked by immune cell infiltration in synovial joints. Although, in general, different sites are affected, misclassification or delayed diagnosis due to overlapping clinical manifestations is not uncommon. Here, we investigated the diagnostic potential of mass cytometry (MC) in early peripheral SpA (pSpA) and RA patients in a small pilot study. Peripheral blood and synovial fluid mononuclear cells (PBMC and SFMC) of 4 pSpA, 7 RA, and 1 undifferentiated arthritis (UA) patient(s) were evaluated using a 37-marker MC panel. Data were analyzed through Visualyte services, including dimension reduction, clustering, and Cytofast workflow. PBMC data indicated naive CD4 T cell, B cell, and monocyte subsets to be differentially present in RA as compared with SpA. CD4 + Tem cell and NK cell subsets appeared more prominently present in pSpA SFMC. Merged PBMC and SFMC data showed overlapping immune profiles of an UA patient with pSpA patients. These results were in accordance with the formal clinical pSpA diagnosis the UA patient received after this study. Utilizing MC, several differences in immune cell composition in both SFMC and PBMC between RA and pSpA patients were observed. Combining PBMC and SFMC data in an unsupervised analysis resulted in the correct classification of the UA patient as pSpA patient prior to formal clinical pSpA diagnosis. This pilot study provides an example of how deep phenotyping with MC aids in differentiating arthritis patients and offers a rationale to further explore these findings. •Due to overlapping symptoms and the absence of disease-specific biomarkers, the clinical diagnosis of peripheral spondyloarthritis (pSpA) and rheumatoid arthritis (RA) can be difficult. •Visualizing immune cell profiles of peripheral blood (PB) and synovial fluid (SF) by mass cytometry (MC) suggests differences in immune cell composition between pSpA and RA patients. •Based on immune profiles of combined PB and SF data, we could correctly predict the formal clinical pSpA diagnosis of an undifferentiated arthritis (UA) patient received later. •This pilot study gives an example of how MC might contribute to faster clinical diagnosis of pSpA patients in the absence of biomarkers.

Epidemiological Profile and Outcome of COVID-19 Patients and Its Comparison Between the First and Second Wave at a Tertiary-Level COVID Care Facility in North India

Epidemiological Profile and Outcome of COVID-19 Patients and Its Comparison Between the First and Second Wave at a Tertiary-Level COVID Care Facility in North India

Trends in Clinico-radiological and Laboratory Characteristics of All-Cause Meningoencephalitis in Western Rajasthan.

Meningoencephalitis encompasses the coexistence of meningitis and encephalitis in different proportions. This study aimed to delineate the clinical profile, laboratory parameters, radiological features, and outcome predictors of patients with meningoencephalitis. This prospective, observational, and descriptive study was conducted from July 2021 to March 2023. Patients satisfying the case definition of "meningitis" and "encephalitis" were enrolled. Mortality and morbidity (by modified Rankin Score [mRS]) were noted at discharge and at 1 and 3 months post-discharge. Of 102 patients recruited, among infectious meningoencephalitis cases, 28 (27.5%) were viral, 11 (10.8%) were pyogenic, 32 (31.4%) were tubercular, four (3.9%) each were rickettsial, atypical bacterial, and fungal, and three (2.9%) were parasitic. Among noninfectious etiologies, 12 (11.8%) were antineuronal antibody mediated, three (2.9%) had systemic inflammatory etiology, and one (1%) had carcinomatous meningitis. Cerebrospinal fluid (CSF) analysis showed the highest protein content (336.82 ± 251.26 mg/dL) and cell count (476.73 ± 999.16/mm3) in pyogenic followed by tubercular (200.29 ± 174.28/mm3) meningoencephalitis. CSF glucose was lowest in tubercular group (38.30 ± 20.29 mg/dL). Imaging showed leptomeningeal enhancement predominantly in tubercular group (89.7%) and limbic involvement in viral etiology (38.5%). Overall mortality was highest in fungal and rickettsial groups (three out of four patients died at 1 month in each group). Pyogenic, atypical bacterial, and systemic inflammatory meningoencephalitis had maximum temporal improvement in mRS at 1 month, while tubercular, viral, and antineuronal antibody-mediated meningoencephalitis had decrease of at least 1 mRS at 3 months. Fever, altered sensorium, speech disturbances, neck stiffness, albumin, total leukocyte count, erythrocyte sedimentation rate, C-reactive protein, kidney and liver function tests showed significant association with mortality. Tubercular, followed by viral meningoencephalitis, was the most common cause in our center in western India. Pyogenic, atypical bacterial, and systemic inflammatory groups had the best recovery at discharge, while fungal and rickettsial meningoencephalitis groups had worst mRS at 3 months.

Altered metabolic profiles of dermatomyositis with different myositis-specific autoantibodies associated with clinical phenotype

IntroductionDermatomyositis (DM) is an idiopathic inflammatory myopathy. Because of clinical heterogeneity, the metabolite profile of DM patients with different myositis-specific autoantibodies (MSAs) remains elusive. This study aimed to explore the metabolomics characteristics of the serum in DM with different MSAs, low or high disease activity, and interstitial lung disease.MethodsUntargeted metabolomics profiling was performed in the serum of a discovery cohort (n=96) and a validation cohort (n=40), consisting of DM patients with MSAs, low or high disease activity, and/or interstitial lung disease (DM-ILD) compared to age- and gender-matched healthy controls (HCs).ResultsThe lipid profile in DM was found to be abnormal, especially dysregulated glycerophospholipid metabolism and fatty acid oxidation, which might affect the pathogenesis of DM by disrupting the balance of Th17 and Treg. We identified potential biomarkers of DM that can distinguish between low or high disease activity and reflect lung involvement. Two metabolite combinations including pro-leu, FA 14:0;O can distinguish high disease activity DM from low disease activity DM and HCs, and five including indole-3-lactic acid, dihydrosphingosine, SM 32:1;O2, NAE 17:1, and cholic acid can distinguish DM-ILD from DM without ILD (DM-nonILD). DM with different MSAs had unique metabolic characteristics, which can distinguish between MDA5+DM, Jo-1+DM, and TIF1-γ+DM, and from the antibody-negative groups. The sphingosine metabolism has been found to play an important role in MDA5+DM, which was associated with the occurrence of ILD.DiscussionAltered metabolic profiles of dermatomyositis were associated with different myositisspecific autoantibodies, disease activity, and interstitial lung disease, which can help in the early diagnosis, prognosis, or selection of new therapeutic targets for DM.

Clinical Profile of Patients Diagnosed with Liver Abscess – a Retrospective Study at a Teaching Hospital

Background: Liver abscesses continue to present a significant diagnostic and therapeutic challenge to the medical community. Early clinical distinction between an amoebic and a pyogenic liver abscess is challenging due to their overlapping clinical presentations. Aim: The present study was undertaken to evaluate the clinical characteristics, lab parameters as well as management in patients suspected of liver abscess. Methods: A retrospective study was carried out in 60 consecutive patients presenting with liver abscess, admitted at tertiary care hospital. Lab investigations were carried out. All patients underwent ultrasound-guided aspiration of a liver abscess either by percutaneous needle or by a pigtail catheter. Patients were monitored during the period of hospital stay to note their outcome. The data variables collected were compiled by using an excel spreadsheet and later analysed using Medcalc (version 20.118). Results: The commonly observed clinical presentation was abdominal pain (95%) followed by fever (57%) and jaundice (7%). On examination, 60% of the liver abscess cases had right hypochondrial tenderness while Hepatomegaly was observed in about 17% of the subjects. Leucocytosis was observed in 67% of the cases in view of underlying infectious etiology. The size of the majority (60%) of the liver abscess were in the range of 5.1 to 9.9 cms and right lobe was the most affected region (75.2%). Conclusion: Early recognition of symptoms, institution of antibiotic and amoebicidal therapy and drainage of abscess via appropriate modality improves the prognosis of liver abscess.

ANÁLISE EPIDEMIOLÓGICA DO TRAUMA GENITOURINÁRIO NO ESTADO DO ACRE: PREENCHENDO LACUNAS DE CONHECIMENTO NA REGIÃO NORTE DO BRASIL, 2013-2023

Genitourinary traumas include injuries to the kidneys, ureters, bladder, urethra, and genital organs, often resulting in severe complications and requiring complex medical interventions. This study aims to characterize the epidemiological profile of patients with genitourinary trauma treated at a referral center in Acre, Brazil, from 2013 to 2023, highlighting demographic characteristics, types of injuries, treatments applied, and clinical outcomes. The research adopted a cross-sectional, descriptive, and retrospective approach, using secondary data from the SUS information system. A total of 102 cases were analyzed, with a predominance of male patients (85.3%) and an average age of 31.64 years. Renal traumas were the most common (59.8%), followed by urethral (20.6%) and bladder injuries (8.8%). Most patients required surgical interventions (83.3%), and the mortality rate was low (2.9%). This study fills a knowledge gap regarding the epidemiology of genitourinary traumas in Acre, providing essential data for the formulation of public health policies and prevention strategies.

Clinical and biological advances of critical complications in acute myeloid leukemia.

Managing acute myeloid leukemia (AML) and its critical complications requires understanding the complex interplay between disease biology, treatment strategies, and patient characteristics. Complications like sepsis, acute respiratory failure (ARF), hyperleukocytosis, coagulopathy, tumor lysis syndrome (TLS) and central nervous system (CNS) involvement present unique challenges needing precise evaluation and tailored interventions. Venetoclax-induced TLS and differentiation syndrome (DS) from IDH1/IDH2 or menin inhibitors highlight the need for ongoing research and innovative approaches. As the microbiological landscape evolves and new therapeutic agents emerge, adapting strategies to mitigate harmful pharmacological interactions is crucial. Advances in understanding the genetic profiles of patients with hyperleukocytosis contribute to better-targeted therapeutic strategies. Effective AML management relies on collaborative efforts from hematologists, specialized services, and intensive care units (ICUs). This review analyzes recent data on critical AML complications, identifies areas for further investigation, and proposes ways to advance clinical research and enhance patient care strategies.

Dietary Docosahexaenoic Acid-Rich Supplementation Decreases Neurotoxic Lipid Mediators in Participants with Type 2 Diabetes and Neuropathic Pain

Background/Objectives: There is increasing evidence linking circulating neurotoxic lipids to the progression of chronic neuroinflammatory diseases in the peripheral and central nervous systems. Strategies to modify lipid profiles, such as docosahexaenoic acid (DHA)-rich supplementation, may aid in managing conditions like painful diabetic neuropathy (pDN). In a previous study, we demonstrated that three months of DHA supplementation significantly altered the metabolomic profile of patients with painful diabetic neuropathy (pDN), resulting in symptom improvement. This study investigates whether DHA-rich supplementation reduces neurotoxic lipid mediators associated with pDN in individuals with type 2 diabetes mellitus (T2DM). Methods: Forty individuals with type 2 diabetes participated in the “En Balance-PLUS” study, attending weekly lifestyle and nutrition education sessions while receiving daily supplementation of 1000 mg DHA and 200 mg EPA. Pain levels were assessed using the Short-Form McGill Pain Questionnaire (SF-MPQ) at baseline and after three months. Blood serum samples collected at these time points underwent untargeted lipidomic analyses, with ELISA used to evaluate biomarkers of necrosis (MLKL), autophagy (ATG5), and lipid chaperone protein (FABP5). Results: Untargeted lipidomic analysis revealed that several neurotoxic-associated lipids significantly decreased after DHA-rich supplementation. Also, circulating levels of MLKL were reduced, while protein levels of ATG5 and FABP5 significantly increased. Conclusions: The reduction of circulating neurotoxic lipids and increase in neuroprotective lipids following DHA-rich supplementation are consistent with the reported roles of omega-3 polyunsaturated fatty acids (PUFAs) in reducing adverse symptoms associated with neuroinflammatory diseases and painful neuropathy.

Stage-Specific Tumoral Gene Expression Profiles of Black and White Patients with Colon Cancer.

Black patients with colon cancer (CC) exhibit more aggressive tumor biology and higher treatment resistance than white patients, even after adjusting for clinical and demographic factors. We investigated stage-specific transcriptional differences in tumor profiles of Black and white patients with CC. Patients with CC from The Cancer Genome Atlas Colon Adenocarcinoma database were categorized by disease stage and propensity-score matched between Black and white patients. Differential gene expression and pathway enrichment analyses were performed for each stage. Logistic regression and quadratic discriminant analysis (QDA) models were developed using consistently differentially expressed genes. Of 247 patients, 128 had localized (22% Black), 81 had regional (74% Black), and 38 had distant disease (29% Black). Differential expression analysis revealed differences in 312 genes for localized, 105 for regional, and 199 for distant stages between Black and white patients. Pathway enrichment analysis showed downregulation of the IL-17 pathway in Black patients with localized disease. In total, five genes exhibited race-specific transcriptional differences across all stages: RAMACL, POLR2J3, POLR2J2, MUC16, and PRSS21. Logistic regression and QDA model performance indicated that these genes represent racial differences [area under the receiver operating characteristic curve (AUC): 0.863 and 0.880]. Significant transcriptional differences exist in CC between Black and white patients changing dynamically across disease stages, and involving genes with broad functions. Key findings include IL-17 pathway downregulation in Black patients with localized disease and a five-gene signature consistent across all stages. These findings may explain aspects of racial disparities in CC, emphasizing the need for race-specific research and treatment strategies.