Risk Groups Research Articles

Prognostic value of CURB-65 and pneumonia severity index (PSI) in COVID-19 pneumonia: A retrospective cohort study

Objective: To validate a better scoring system between CURB-65 and the pneumonia severity index (PSI) to predict the need for intensive care unit admission and 30-day mortality in patients with COVID-19 pneumonia. Methods: A retrospective cohort study was conducted on patients in a tertiary care hospital in Kota, Rajasthan. Relevant data about history, and general and systemic examination with laboratory investigations was collected. Patients were categorized into different risk groups for ICU admission and 30-day mortality according to CURB-65 and PSI. Sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve were calculated. Continuous variables, means and percentages were compared using the t-test for numerical data and the Chi-square test for nominal data. Results: 100 patients who tested positive for SARS-CoV-2 by RT-PCR were included; 67 were male and 33 were female. 58 patients had severe disease (SpO2≤90%) and 30 patients died. CURB-65 had an area under the curve (AUC) of 0.81 for predicting ICU admission, with a sensitivity of 92% and a specificity of 54% for high risk patients. Meanwhile, PSI had an AUC of 0.88, with a sensitivity of 83% and a specificity of 73% in high risk patients. In addition, CURB-65 had an AUC of 0.79 for predicting 30-day mortality, with a sensitivity of 60% and a specificity of 89% in high risk patients. PSI had an AUC of 0.71 for predicting 30-day mortality, with a sensitivity of 90% and a specificity of 46% in high risk patients. Conclusions: This single-centre retrospective study involving a cohort of COVID-19 patients demonstrates that CURB-65 and PSI are powerful tools for predicting mortality. However, PSI appears to be slightly better at predicting the need for intensive care unit admission in high-risk patients.

Economic analysis of implementing Systemic Coronary Risk Estimation (SCORE2) scale and long-term consequences

Objective: to assess the demand for pharmacotherapy in risk groups on adverse cardiovascular (CV) events identified during prophylactic medical examination of the adult population according to the SCORE2 (Systemic Coronary Risk Estimation) scale, which is being introduced into clinical practice.Material and methods. To analyze the economic consequences of including diagnostic examinations to assess the risk by SCORE and SCORE2 scales, a Markov model was developed, which described the course of lipid metabolism disorders in adult patients aged 40 to 69 years without concomitant diseases identified during prophylactic medical examination. The model cycle was 2 months (the average waiting time for response to therapy); the modeling horizon was 3 years; the calculated values were estimated for the period 2024–2026. The economic analysis of long-term consequences involved calculating the cost of pharmacotherapy and the costs associated with CV events at outpatient and inpatient stages of medical care. The costs of drug therapy were determined based on dosage regimens presented in instructions for medical use in Russia, and clinical guidelines.Results. According to the modeling results, in the period 2024–2026, the administration of pharmacotherapy to reduce the risks of CV events will enable to achieve 23,224 potentially saved lives through exclusively government funding or 23,605 through mixed sources of funding (government and citizens’ own funds). The cost of the analyzed pharmacotherapy upon the introduction of the SCORE2 scale will be from 50.18 billion rubles (with government funding) to 318.14 billion rubles. Concurrently, pharmacocorrection will provide a reduction in the costs of inpatient treatment and outpatient medical services to 4.1 billion rubles due to the achieving of intended low-density lipoprotein level, and 1.6 billion rubles due to the achieving of intended triglyceride levels.Conclusion. Using new SCORE2 scale may lead to changes in the practice of prescribing lipid-lowering prophylaxis of CV diseases, as well as to a sharp increase in the number of patients who may require earlier prescription of pharmacotherapy to prevent CV events.

Revealing the structural microenvironment of high metastatic risk uveal melanomas following decellularisation

Uveal melanoma (UM) is a rare aggressive intraocular tumour that spreads most commonly to the liver in tumours with loss of one copy of chromosome 3 (HR-M3); current treatments for metastatic disease remain largely ineffective. Pre-clinical research is increasingly using three-dimensional models that better recapitulate the tumour microenvironment (TME). One aspect of the TME is the acellular extracellular matrix (ECM) that influences cell proliferation, migration and response to therapy. Although commercial matrices are used in culture, the composition and biochemical properties may not be representative of the tumour ECM in vivo. This study identifies UM metastatic risk specific ECM proteins by developing methodology for decellularisation of low- and high- metastatic risk tissue samples (LR-D3 vs. HR-M3). Proteomic analysis revealed a matrisome signature of 34 core ECM and ECM-associated proteins upregulated in HR-M3 UM. Combining additional UM secretome and whole cell iTRAQ proteomic datasets revealed enriched GO and KEGG pathways including ‘regulating ECM binding’ and ‘PI3K/Akt signalling’. Structural analyses of decellularised matrices revealed microarchitecture of differing fibre density and expression differences in collagen 4, collagen 6A1 and nidogen 1, between metastatic risk groups. This approach is a powerful tool for the generation of ECM matrices relevant to high metastatic risk UM.

Students’ subjective perceptions of extremism in the Russian Arctic

Young people are a traditional risk group for radicalization and involvement in protest and extremist activities. The relevance of this topic is due to the growing threat of youth radicalization, the expansion of the activities of extremist organizations, and the need to organize high-quality preventive work in educational organizations at various levels. The article provides an overview of research on the topic under consideration and also presents the results of a series of surveys in general educational institutions and organizations of secondary vocational education (n = 11,052), universities (n = 3966) located in the Arctic zone of the Russian Federation. The results of the study on aspects of students’ ideas about extremism are presented in terms of assessing their own knowledge about extremism, the presence/absence of radically minded people around them, determining the degree of threat from the activities of extremist groups for themselves and their social environment, and identifying approaches to preventing the growth of extremism in society. Conclusions are drawn about the need to improve preventive work models in educational organizations towards a targeted (group) approach.

The Prognostic Value of the 31-Gene Expression Profile Test in Cutaneous Melanoma: A Systematic Review and Meta-Analysis

Background: Cutaneous melanoma is an increasingly common and potentially lethal form of skin cancer. Current staging systems based on clinical and pathological features have limitations in accurately predicting outcomes, particularly for early-stage disease. The 31-gene expression profile (31-GEP) test has emerged as a promising tool for improving risk stratification in melanoma patients. Methods: We conducted a systematic review and meta-analysis of studies evaluating the prognostic performance of the 31-GEP test in cutaneous melanoma. A comprehensive literature search was performed in multiple databases. Studies reporting survival outcomes stratified by 31-GEP class were included. Random-effects models were used to determine survival estimates across studies. Results: Thirteen studies comprising 14,760 patients were included in the meta-analysis. The 31-GEP test consistently stratified patients into risk groups with significantly different outcomes. The 5-year melanoma-specific survival rates were 99.8% (95% CI: 98–100%) for Class 1A, 97.6% (95% CI: 92.4–99.3%) for Class 1B/2A, and 83.4% (95% CI: 66.5–92.7%) for Class 2B. Similar trends were observed for recurrence-free and distant metastasis-free survival. Conclusions: This meta-analysis supports the prognostic utility of the 31-GEP test in cutaneous melanoma prognostication. The test consistently stratified patients into clinically meaningful risk groups across multiple survival metrics. These findings support the potential clinical utility of the 31-GEP test in enhancing current staging systems and informing personalized management strategies for melanoma patients.

Viral rebound on antiretroviral therapy in France according to region of origin, sex, and HIV acquisition group. Results from the French Hospital Database on HIV (ANRS CO4-FHDH).

Assessing the potential increased risk of viral rebound (VR) in migrants requires adequate control for sex and acquisition risk groups. People living with HIV1, enrolled in the ANRS CO4-French Hospital Database on HIV, who achieved virological suppression with antiretroviral therapy (ART) initiated between 2006 and 2016 were included. We first compared the risk of VR, with loss to follow-up and death considered as competing events, across origin among the HIV acquisition groups, then across acquisition groups among the different origins, and finally across modality of a variable combining sex, acquisition group, and origin. Models were adjusted for clinical and biological confounding factors. We included 21 571 French natives (FRA), 10 148 migrants from sub-Saharan Africa (SSA), 1137 migrants from the non-French West Indies (NFWI), and 4205 other migrants (OTHER). The 5-year probability of VR was 19% (95% confidence interval [CI] 19-20) overall, 15% in FRA, 21% in OTHER, 26% in SSA, and 34% in NFWI (p < 0.0001). It was 14% in men who have sex with men (MSM), 23% in heterosexual men, and 23% in women (p < 0.0001). After adjustment, all acquisition groups had a higher risk of VR than MSM from FRA, with men and women from NFWI having the highest risk (adjusted hazard ratio [aHR] 2.46; 95% CI 2.12-2.86 and aHR 2.59; 95% CI 2.20-3.04, respectively). Within each acquisition group, all groups of origin had a higher risk of VR than FRA. Within each region of origin, except the NFWI, heterosexual men had a higher risk of VR than MSM. After accounting for sex and acquisition group, migration, especially from NFWI, remains prognostic of VR.

Prognostic Value of Hospital Frailty Risk Score and Clinical Outcomes in Critical Limb-Threatening Ischemia and End-Stage Kidney Disease.

End-stage kidney disease (ESKD) is commonly associated with critical limb-threatening ischemia (CLTI) and frailty. Yet there are no specific tools to predict outcomes of CLTI in ESKD, particularly those that incorporate frailty. We aimed to assess the utility of the medical record-based Hospital Frailty Risk (HFR) score in predicting outcomes of CLTI in ESKD. We identified patients with ESKD diagnosed with CLTI from the US Renal Data System from 2015 to 2018. These patients were categorized into 3 frailty risk groups on the basis of their HFR scores: low (<5), intermediate (5-10), high-risk (>10), and on the basis of whether they underwent revascularization (endovascular revascularization [ER]/surgical revascularization [SR]) or not (no revascularization). Primary outcomes of interest included in-hospital composite of death or major amputation and in-hospital death. We included 49 454 eligible patients, with ER/SR cohort including 19.8% (n=9777). A total of 88.4% (ER/SR) and 90.0% (no revascularization) were frail on the HFR scale. We found a nonlinear association between HFR score and in-hospital adverse outcomes. In both cohorts, intermediate and high-risk HFR scores were associated with greater risk of in-hospital death (high-risk, ER/SR: odds ratio, 2.7 [95% CI, 1.6-4.8]; P<0.0001; no revascularization: odds ratio, 7.8 [95% CI, 5.3-11.6]; P<0.01) and composite of in-hospital major amputation or death (high-risk, ER/SR: odds ratio, 2.4 [95% CI, 1.9-3.1]; P<0.0001; no revascularization: odds ratio, 1.7 [95% CI, 1.5-1.9]; P<0.0001). The HFR score can predict risk of in-hospital death and composite ofdeath or major amputation in patients with ESKD and CLTI. Further data are needed to determine the utility of the HFR score in this population.

Risk Classification of Patients With Advanced Urothelial Carcinoma Treated With Enfortumab Vedotin.

Enfortumab Vedotin (EV) is a widely used antibody-drug conjugate for patients with advanced urothelial carcinoma (UC) who have previously been treated with platinum-based chemotherapy and immune checkpoint inhibitors. However, limited information is currently available on prognostic factors and risk classification. Therefore, the present study attempted to identify clinical factors that predict outcomes in patients with advanced UC treated with EV and to develop a novel risk classification model. We conducted a multicenter retrospective study including patients with advanced UC treated with EV. Oncological outcomes were assessed using progression-free survival (PFS) and overall survival (OS), and prognostic factors for PFS and OS were investigated. We then examined the usefulness of risk classification based on the prognostic factors identified. Median PFS and OS were 7.1 and 16.3 months, respectively. High C-reactive protein levels (CRP level ≥0.5 mg/dl) and hypercalcemia (corrected calcium level >10.2 mg/dl) were identified as prognostic factors for PFS (p=0.012 and p=0.003, respectively) and OS (p=0.035 and p<0.001, respectively). We then divided patients into three risk groups: no prognostic factors group, one prognostic factor group, and two prognostic factors group. Significant differences were observed in PFS and OS among the three groups (p<0.001 and p<0.001, respectively) and c-indices were 0.766 for PFS and 0.800 for OS. The risk classification using CRP and hypercalcemia is useful for predicting the outcomes of patients with advanced UC treated with EV.

Thrombocytopenia With High C-reactive Protein in Myeloma Patients Treated With Proteasome Inhibitor and/or Immunomodulatory Drugs.

Background/Aim: Thrombocytopenia is a poor prognostic factor in patients with myeloma; however, the factors associated with thrombocytopenia have not been extensively discussed. This study aimed to investigate the clinical significance of thrombocytopenia, defined as 130×103/μl or less, in patients with newly diagnosed multiple myeloma (NDMM) treated with proteasome inhibitors and/or immunomodulatory drugs. This is a retrospective review of medical records of myeloma patients treated between 2000 and 2021. A total of 241 patients were included in this study, with a median age of 72 years. Overall survival (OS) and time to next treatment (TTNT) were assessed using Kaplan-Meier analysis and Cox regression analysis. Prognostic factors were evaluated by univariate and multivariate analyses. The incidence of thrombocytopenia was 17.8%. In the median follow-up period of 46.6 months, OS and TTNT in the thrombocytopenia group were significantly shorter than those in the non-thrombocytopenia group using multivariate analysis (p<0.001 and p<0.001). C-reactive protein (CRP) level was not associated with thrombocytopenia, and high CRP predicted short OS and TTNT independently from thrombocytopenia. When the low (neither thrombocytopenia nor high CRP), intermediate (either thrombocytopenia or high CRP), and high (thrombocytopenia and high CRP) risk groups were defined, the OS and TTNT among these groups showed significant differences; the hazard ratios for survival in the high and intermediate risk groups were 7.022 and 2.598, and for TTNT, they were 4.216 and 1.887, respectively, compared to the low-risk group. Thrombocytopenia was associated with the activity of NDMM and predicted prognosis in NDMM. When combined with high CRP levels, thrombocytopenia serves as a new indicator of poor prognosis in these patients.

Taxane/anthracycline combinations reduced incidence of breast cancer recurrence in young women across molecular subtypes: a real-world evidence of Taiwan from 2011 to 2019.

Adolescent and young adult (AYA) patients with breast cancer generally have poor prognoses and a higher risk of secondary cancers compared to those at the same cancer stage. Notably, AYA patients in Asia exhibit a higher incidence rate of breast cancer, with Luminal A as the predominant molecular subtype, which contrasts with the trends observed in Western countries. This study aims to compare the efficacy of Taxane/Anthracycline combination-based regimens (TACB) versus Anthracycline-based regimens (AB) in AYA patients with stage I-II breast cancer, focusing on different molecular subtypes. This study utilized data from the Taiwan National Health Insurance Research Database (NHIRD) and the Taiwan Cancer Registry (TCR) from 2011 to 2019. The study cohort included patients aged 15 to 39years who were diagnosed with stage I-II breast cancer and received either TACB or AB regimens. Propensity score matching and Cox proportional hazards regression models were used to calculate the hazard ratios (HR) for recurrence. The results showed that TACB regimens significantly reduced the risk of recurrence compared to AB regimens across all patients (aHR 0.73, 95% CI 0.55-0.97). Specifically, for low/middle-recurrence risk groups, the aHR was 0.68 (95% CI 0.49-0.96), and for high-recurrence risk groups, it was 0.43 (95% CI 0.21-0.87). The analysis further indicated no significant differences in recurrence risk between AYA and non-AYA patients using TACB regimens. The TACB regimens showed a more favorable prognosis than AB regimens across all molecular subtypes. Furthermore, TACB regimens not only outperformed AB treatments but also closed the gap in prognostic outcomes between AYA and non-AYA patients. We believe the findings of this study are highly reliable and can provide valuable guidance for physicians in choosing the most appropriate treatment strategies for AYA patients with stage I-II breast cancer.

Establishing a Novel Pyroptosis-Related Gene Signature and Predicting Chemical Drugs for Papillary Thyroid Cancer.

The present study aimed to construct a novel pyroptosis-related gene signature to predict the prognosis of papillary thyroid cancer (PTC). The gene expression level and survival and prognosis information of PTC were obtained from TCGA. The differentially expressed pyroptosis-related genes (DEPs) between cancer and control groups were selected, followed by subtype analysis. A prognostic model was built using LASSO regression analysis. The samples were then divided into high- and low-risk groups, and the differences in immune cell distribution in different risk groups were compared. The chemical drugs associated with genes in the prognostic model were extracted from the Comparative Toxicogenomics Database. A total of 31 DEPs were selected, and 3 different subtypes were obtained. A prognostic model based on 6 pyroptosis-related genes was constructed. The risk grouping was significantly correlated with the actual prognosis, and the model was found to be an independent prognostic factor. Six immune cells with significant differences in distribution in different risk groups were screened. CGP52608 could target four genes in the prognostic model, including GSDMB, NLRC4, IL1A, and IL6. The present study constructed a pyroptosis-related gene signature that could predict the prognosis of PTC. Additionally, this signature was correlated with tumor immunity.

Identification of oxidative stress-related hub genes for predicting prognosis in diffuse large B-cell lymphoma

BackgroundOxidative stress is a cellular characteristic that might induce the proliferation and differentiation of tumor cells and promote tumor progression in diffuse large B-cell lymphoma (DLBCL). MethodsThe DLBCL gene sequencing dataset, tumor mutation burden data, copy number variation data of Somatic cell mutation data in TCGA were downloaded for data training analysis, along with four DLBCL datasets in GEO for validation analysis. The known oxidative stress related genes (OSRGs) were collected from websites. The weighted gene co-expression network analysis (WGCNA) was conducted on the TCGA DLBCL dataset to obtain gene modules related to oxidative stress and intersected with the known OSRGs to obtain the hub genes, which were used to perform consensus clustering on the samples to obtain new phenotypes. Next, the prognosis related OSRGs were selected through regression analysis algorithms and key genes were identified. These genes were used to establish the prognostic risk model and predictive model, and to compare functional and pathway differences among different risk groups. ResultsThrough website search, we obtained 297 known OSRGs, and after intersecting with WGCNA results, we obtained 26 OSRGs. The TCGA-DLBC samples were clustered into 2 subtypes with these genes and there were significant differences in immune infiltration between subtypes. After regression analysis, we obtained a total of four key genes, BMI1, CDKN1A, NOX1, and SESN1. The risk prediction model established with these four genes as variables has accurate prognostic prediction ability. The key genes interact with 65 miRNAs, 57 TFs, 47 RBPs, and 62 drugs, respectively, and are closely related to immune infiltration of the disease. Among them, CDKN1A and SESN1 had the highest variability. ConclusionsThe key genes involved in oxidative stress could predict the prognosis of DLBCL and potentially become therapeutic targets.

Whether Primary Bone-Only Oligometastatic Nasopharyngeal Carcinoma Patients Benefit From Radiotherapy to the Bones on the Basis of Palliative Chemotherapy Plus Locoregional Radiotherapy?-A Large-Cohort Retrospective Study.

Whether to perform local radiotherapy on metastatic bone for primary bone-only oligometastatic nasopharyngeal carcinoma (NPC) patients remains unclear. Therefore, we analyzed the treatment methods and their survival and developed a prognostic model to predict outcomes and guide personalized treatment. We studied 308 primary bone-only oligometastatic NPC patients who were treated with either palliative chemotherapy (PCT) alone, PCT combined with locoregional radiotherapy (LRRT), or PCT, LRRT, and radiotherapy to metastatic bones (bRT). The primary endpoint was overall survival (OS). Cox regression was utilized to identify independent prognostic factors, leading to the construction of a nomogram model. Patients were stratified into two risk groups based on median prognostic scores, and treatment modalities were compared using log-rank test while employing the inverse probability of treatment weighting (IPTW) to balance baseline characteristics and adjust for sample size differences between risk groups. The best OS was observed in the group treated with PCT, LRRT, and bRT (HR = 0.60, 95% CI: 0.45-0.81, p = 0.002). Multivariable analysis revealed that age, N stage, pre-treatment levels of LDH, and EBV DNA were independent prognostic factors for OS. In total, 155 patients were in low-risk group while 153 were in high-risk group. Before and after IPTW, the high-risk group benefited from the PCT, LRRT, and bRT regimen (adjusted HR = 0.53, 95% CI: 0.42-0.67, p < 0.001; unadjusted HR = 0.59, 95% CI: 0.42-0.83, p = 0.007), while the low-risk group did not (adjusted HR = 0.79, 95% CI: 0.56-1.11, p = 0.345; unadjusted HR = 0.65, 95% CI: 0.37-1.14, p = 0.309). Best outcomes of the whole cohort were seen with PCT + LRRT + bRT. Our study identified age, N stage, pre-treatment LDH levels, and EBV DNA levels as independent prognostic factors for OS. The high-risk group demonstrated a longer OS when treated with PCT + LRRT + bRT, whereas the low-risk group did not benefit from the combinatorial treatment.

Association of coronary inflammation with plaque vulnerability and fractional flow reserve in coronary artery disease

BackgroundThe fat attenuation index (FAI) measured using coronary computed tomography angiography (CCTA) enables the direct evaluation of pericoronary adipose tissue composition and vascular inflammation. We aimed to investigate the association of fractional flow reserve (FFR) and plaque vulnerability with coronary inflammation. MethodsPatients with suspected coronary artery disease (CAD) who underwent CCTA and invasive FFR measurements within 90-day were included. A cloud-based medical device, CaRi-Heart, serves as a surrogate tool for evaluating coronary inflammation based on FAI by analyzing CCTA images. The correlations between CCTA-defined plaque characteristics, invasive coronary angiographic and physiologic assessments, and CaRi-Heart risk were analyzed. The primary endpoint was the patient-oriented composite outcome (POCO) consisting of all-cause death, any myocardial infarction, and any revascularization. ResultsA total of 564 patients (median age 67.0 years; 75.4 ​% men) were included. There were no significant differences in quantitative and qualitative plaque characteristics or FFR between the high- and low-CaRi-Heart risk groups (i.e., ≥5 ​% and <5 ​%). During the median follow-up of 3.2 years [1.13–4.73 years], CaRi-Heart risk ≥5 ​% was associated with a significantly higher rate of POCO compared to CaRi-Heart risk <5 ​% (0.9 ​% vs. 10.1 ​%, P ​= ​0.037). The CaRi-Heart risk was an independent predictor of POCO as a continuous (adjusted HR 1.016, 95 ​% CI 1.005–0.027, P ​= ​0.004) and categorical variable (CaRi-Heart risk ≥5 ​%, adjusted HR 2.949, 95 ​% CI 1.182–7.360, P ​= ​0.021), regardless of high-risk plaque characteristics and FFR. ConclusionCoronary inflammation risk assessed using CaRi-Heart risk provides independent prognostic information regardless of plaque vulnerability and physiologic stenosis in patients with CAD.

Clinical and epidemiological characteristics of patients with pheochromocytoma and retroperitoneal paraganglioma

Introduction. Pheochromocytoma/paraganglioma (PPGL) is a rare hormonally active tumor of chromaffin tissue. Delayed diagnosis of this disease can lead to severe, even fatal, complications. Surgical treatment of PPGL without the necessary preoperative preparation can cause intraoperative uncontrolled hemodynamic impairment. In addition, since 2017, PPGL has been recognized as a malignant tumor due to the presence of metastatic potential. All these factors determine the need for early diagnosis of PPGL, which is based, first of all, on knowledge of the clinical picture by specialists in various fields.Aim. To check and confirm the epidemiological characteristics of PPGL as well as the most common clinical symptoms in the whole group of PPGL and in subgroups of clinical forms; to form a risk group for screening for PPGL.Materials and methods. There were enrolled 353 patients in the study. These patients were operated on at the St. Petersburg State University Hospital in the period from 2010 to 2022 inclusive. All the patients were verified PPGL diagnosis histologically. Clinical symptoms were assessed: a) retrospectively, by analyzing complaints and anamnesis from the initial examination in medical histories upon admission to the hospital for surgical treatment b) both in the entire group as a whole and in subgroups of clinical forms (paroxysmal, constant, mixed, asymptomatic). Statistical analysis was performed using the Python 3.11 programming language (Python Software Foundation, USA). descriptive statistics of quantitative characteristics are presented in the form of medians, first and third quartiles in me format [q1; q3], categorical features – in the form of absolute and relative frequencies in the format n (%). the frequency histogram was constructed using the Matplotlib 3.8.2 library.Results. PPGL is most common in women over 40 years of age. The most common symptoms of PPGL are the following: a feeling of rapid heartbeat (55.95%), headache (41.07%), arterial hypertension (AH) in the form of hypertensive crises (55.65%), constant increase in blood pressure (38.39%), episodes of moderate increases in blood pressure (24.11%), sweating (30.65%), general weakness and fatigue (26.19%), hot flashes or chills (24.11%). These symptoms are formed into the criteria for screening for PPGL. In the asymptomatic clinical form – lower back pain is more common (14%); with paroxysmal – panic attacks (10%); with mixed – thirst and dry mouth (10%), and with constant form – the actual constant nature of hypertension (100%).Conclusion. In a large sample of patients with a rare pathology, the most characteristic symptom complex was identified, characteristic of both PPGL and individual clinical forms. A risk group has been formed for screening for PPGL.

Construction of a Prognostic Model for Mitochondria and Macrophage Polarization Correlation in Glioma Based on Single-Cell and Transcriptome Sequencing.

Numerous diseases are associated with the interplay of mitochondrial and macrophage polarization. However, the correlation of mitochondria-related genes (MRGs) and macrophage polarization-related genes (MPRGs) with the prognosis of glioma remains unclear. This study aimed to examine this relationship based on bioinformatic analysis. Glioma-related datasets (TCGA-GBMLGG, mRNA-seq-325, mRNA-seq-693, GSE16011, GSE4290, and GSE138794) were included in this study. The intersection genes were obtained by overlapping differentially expressed genes (DEGs) from differential expression analysis in GSE16011, key module genes from WGCNA, and MRGs. Subsequently, the intersection genes were further screened to obtain prognostic genes. Following this, a risk model was developed and verified. After that, independent prognostic factors were identified, followed by the construction of a nomogram and subsequent evaluation of its predictive ability. Furthermore, immune microenvironment analysis and expression validation were implemented. The GSE138794 dataset was utilized to evaluate the expression of prognostic genes at a cellular level, followed by conducting an analysis on cell-to-cell communication. Finally, the results were validated in different datasets and tissue samples from patients. ECI2, MCCC2, OXCT1, SUCLG2, and CPT2 were identified as prognostic genes for glioma. The risk model constructed based on these genes in TCGA-GBMLGG demonstrated certain accuracy in predicting the occurrence of glioma. Additionally, the nomogram constructed based on risk score and grade exhibited strong performance in predicting patient survival. Significant differences were observed in the proportion of 27 immune cell types (e.g., activated B cells and macrophages) and the expression of 32 immune checkpoints (e.g., CD70, CD200, and CD48) between the two risk groups. Single-cell RNA sequencing showed that CPT2, ECI2, and SUCLG2 were highly expressed in oligodendrocytes, neural progenitor cells, and BMDMs, respectively. The results of cell-cell communication analysis revealed that both oligodendrocytes and BMDMs exhibited a substantial number of interactions with high strength. This study revealed five genes associated with the prognosis of glioma (ECI2, MCCC2, OXCT1, SUCLG2, and CPT2), providing novel insights into individualized treatment and prognosis.

Combined Molecular Mismatch Approaches to Predict Immunological Events Within the First Year After Renal Transplantation.

Several molecular mismatch assessment approaches exist, but data on their combined use are limited. In this study, we aimed to define distinct risk groups for rejection based on the combination of three molecular mismatch assessment approaches (i.e., eplet mismatch count, the number of highly immunogenic eplets and PIRCHE-II score) in 439 consecutive immunological standard risk transplantations. For each molecular mismatch assessment approach, ROC analyses were used to define cut-offs for prediction of (sub) clinical rejection according to Banff 2019 classification within the first year post-transplant as a reference. If all three scores were below the cut-off, the patient was assigned to the low-risk group (19% of patients); if all three scores were above the cut-off, the patient was assigned to the high-risk group (21% of patients). The one-year incidence of (sub) clinical rejection was 12% in the low-risk group and 33% in the high-risk group (p = 0.003). Internal validation of the assigned risk groups for prediction of other outcomes revealed a high consistency: clinical rejection (6% vs. 24%; p = 0.004), ATG-treated rejection (1% vs. 16%; p < 0.001) and development of de novo HLA-DSA at 5 years post-transplant (6% vs. 25%; p = 0.003). The molecular mismatch risk group was an independent predictor for (sub) clinical rejection (high-risk vs. low-risk: hazard ratio 3.11 [95%-CI 1.50-6.45]; p = 0.002). We conclude that combining molecular mismatch approaches allows us to distinguish low- and high-risk groups among standard renal allograft recipients. Independent validation in other patient populations and different ethnicities is required.

SARS-CoV-2 seroprevalence among people living with HIV in the German HIV-1 Seroconverter Cohort, 2020–2022

ObjectivesPeople living with HIV (PLWH) are a risk group for severe symptoms and higher mortality during COVID-19. We analyzed the dynamic rise of SARS-CoV-2 seroprevalence induced by coinfections and vaccinations in PLWH in the first three years of the pandemic in Germany and compared it with corresponding data available for the general population.MethodsEach month on average 93 blood samples from the German HIV-1 Seroconverter Cohort, a prospective longitudinal multicenter study that includes PLWH whose date of seroconversion is well defined, were received. The samples from 1569 PLWH were tested for the presence of anti-S1 and if positive, also for anti-N antibodies.ResultsIn 2020 the number of anti-S1 positive cases/month was between 0.0 and 6.9% (average 1.6%). Since then the anti-S1 prevalence increased reaching already 35% (33/94) in May 2021. At that time 3.2% of the cases were also anti-N positive. In 2022 the average anti-S1 seroprevalence reached 97.5%. In the vaccination era a positive anti-N response was associated with a younger age and females were overrepresented among anti-S1/anti-N negative samples (assuming no vaccination or infection).ConclusionsThe average 1.6% anti-S1 seroprevalence in the cohort in 2020 was comparable to that in the general population (1.3%). The increase in anti-S1 seroprevalence in the first half of 2021 occurred slightly earlier. This increase was likely caused by the prioritization of PLWH at the early stage of the vaccination campaign and by infections during the third wave of the pandemic.

P204 Prognosis prediction in metastatic RCC (mRCC): Integration of additional clinical factors and tissue-based classifiers to improve risk group classification accuracy

P204 Prognosis prediction in metastatic RCC (mRCC): Integration of additional clinical factors and tissue-based classifiers to improve risk group classification accuracy

Assessment of humoral immunity to the measles virus in healthcare workers

BACKGROUND: measles is an anthroponotic viral disease characterized by high contagiousness. In the early 2000s in the Russian Federation, the infection was on the verge of elimination, but outbreaks in 2003, 2014, 2019 and the rise in incidence since 2022 refutes this situation. Cleanup vaccination of risk groups and revaccination of persons vaccinated once are ongoing. It is relevant to determine antibodies in blood serum in the vaccinated population and in persons with an unknown vaccination and post-infection history. AIM: of the study is to present the results of a study of humoral immunity to the measles virus in healthcare workers vaccinated against measles and with an unknown vaccination and post-infectious history. MATERIALS AND METHODS: the study was conducted in Kazan, Republic of Tatarstan. The study involved employees of a skin and venereal disease clinic, children's clinics, and a blood center in the amount of 133 people (including 2 men), who were vaccinated and revaccinated with live measles vaccine, after which a sufficient amount of time had passed for the formation of an immune response - 3-4 weeks, as well as 40 female employees with an unknown vaccination and post-infection history. Specific IgG to the measles virus was determined in the test blood sera using the enzyme immunoassay method using the Vector-Best kit (Novosibirsk, Russia). Statistical analysis was carried out using the StatTech v.4.1.9 program (developed by Stattech LLC, Russia). RESULTS. The study was conducted in Kazan, Republic of Tatarstan. The study involved employees of a skin and venereal disease clinic, children's clinics, and a blood center in the amount of 133 people (including 2 men), who were vaccinated and revaccinated with live measles vaccine, after which a sufficient amount of time had passed for the formation of an immune response - 3-4 weeks, as well as 40 female employees with an unknown vaccination and post-infection history. Specific IgG to the measles virus was determined in the test blood sera using the enzyme immunoassay method using the Vector-Best kit (Novosibirsk, Russia). Statistical analysis was carried out using the StatTech v.4.1.9 program (developed by Stattech LLC, Russia). CONCLUSIONS. The ongoing outbreaks of measles in 2003, 2014, 2019, 2022-2023 require constant monitoring of the epidemiological situation with the study of the post-vaccination immune response in vaccinated people and the post-infection response in people with an unknown history of measles