Assessing the impact of disease incidence and immunization on the resilience of complex networks during epidemics.

Disease severity through an immunized population ensconced on a physical network topology is a key technique for preventing epidemic spreading. Its influence can be quantified by adjusting the common (basic) methodology for analyzing the percolation and connectivity of contact networks. Stochastic spreading properties are difficult to express, and physical networks significantly influence them. Visualizing physical networks is crucial for studying and intervening in disease transmission. The multi-agent simulation method is useful for measuring randomness, and this study explores stochastic characteristics of epidemic transmission in various homogeneous and heterogeneous networks. This work thoroughly explores stochastic characteristics of epidemic propagation in homogeneous and heterogeneous networks through extensive theoretical analysis (positivity and boundedness of solutions, disease-free equilibrium point, basic reproduction number, endemic equilibrium point, stability analysis) and multi-agent simulation approach using the Gilespie algorithm. Results show that Ring and Lattice networks have small stochastic variations in the ultimate epidemic size, while BA-SF networks have disease transmission starting before the threshold value. The theoretical and deterministic aftermaths strongly agree with multi-agent simulations (MAS) and could shed light on various multi-dynamic spreading process applications. The study also proposes a novel concept of void nodes, Empty nodes and disease severity, which reduces the incidence of contagious diseases through immunization and topologies.

Clinical characteristics and risk factors associated with diverse manifestations of COVID-19 in patients aged 85 years and older.

Objective: The goal of this study is to assess the clinical attributes exhibited by patients aged 85 years and older who present different manifestations of COVID-19, and to examine the factors influencing the classification of the disease severity. Method: This retrospective study was conducted at a single center, encompassing an analysis of clinical data obtained from patients with COVID-19 admitted to a general geriatric hospital in Hangzhou, Zhejiang, China, during the period from December 20, 2022, to February 1, 2023. The study focused on 91 eligible patients whose disease severity was compared based on the imaging findings. Results: A total of 91 patients aged 85 years and older, with a median age of 92, including 46 males, 10 exhibiting mild symptoms, 48 moderate cases, and 33 severe cases met the inclusion criteria. Notably, disease severity displayed a significant correlation with age (p < 0.011). All patients presented with complicated chronic underlying conditions and a history of prolonged medication use. Rheumatic immune diseases (p = 0.040) and endocrine medications, primarily hypoglycemic agents (p = 0.034), exhibited statistical significance. Additionally, markers such as lactate dehydrogenase (LDH) (p = 0.030), interleukin 6 (IL-6) (p = 0.014), and D-dimer (p = 0.007) revealed significant associations with disease severity. Chest computed tomography scans predominantly revealed inflammatory features (n = 81, 89.0%). Notably, patients classified as having mild or moderate conditions exhibited eventual improvement, while 13 patients (39.4%) among the severe cases succumbed to the disease. Conclusion: The classification of disease among patients aged 85 years or older old is correlated with advanced age, concurrent rheumatic immune diseases, and prolonged administration of endocrine medications. Furthermore, patients with elevated levels of LDH, IL-6, and D-dimer demonstrated a higher propensity for developing severe diseases.

Unveiling Immunological and Hematological Markers in COVID-19: Insights from a Clinical Study.

The COVID-19 pandemic has affected the global health system and economies largely. Therefore, knowledge about the clinical and laboratory profiles of patients with COVID-19 would help in the management and prognosis of the disease. The immunological and hematological indices have emerged as critical determinants for the severity of the disease and the prognosis; however, association with COVID-19 is clouded. The present study is aimed to characterize the immunological and hematological profiles of patients with COVID-19 in correlation with the disease severity. The study included 1,019 polymerase chain reaction (PCR)-confirmed patients with COVID-19 who were classified into serious and nonserious groups, considering severity criteria. Clinical laboratory investigations included hematological, biochemical, and immunological parameters regarding leukocyte counts, hemoglobin levels, and inflammatory markers. Our analysis of immunological and hematological differences between serious and nonserious patients with COVID-19 indicates that serious cases reflected elevated levels of pro-inflammatory markers such as lactate dehydrogenase, C-reactive protein (CRP), D-dimer, and ferritin, representing immune system dysregulation and systemic inflammation. Furthermore, in serious cases, discrepancies had also been noticed for many hematological parameters than nonserious ones, which also contained leukocyte count and hemoglobin level. Additionally, the CRP, D-dimer, blood urea nitrogen, alanine transaminase, and albumin levels could be independent predictors of COVID-19 severity by multivariate logistic regression analysis. Cutoff values for these biomarkers were defined by receiver operating characteristic curve analysis defining optimal parameters for the risk stratification and prognostication. The current investigation provides a comprehensive understanding of immunological and hematological correlation with COVID-19 severity, refining clinical decision-making and therapeutic interventions to improve patient outcomes.

Quantitative characterization of eosinophilia in nasal polyps with AI-based single cell classification.

KEY POINTS: Eosinophilic granulocytes have characteristic morphological features. This makes them prime candidates for utilization of a single cell binary classification network. Single cell binary classification networks can reliably help quantify eosinophils in nasal polyps.

A Novel Microbial Dysbiosis Index and Intestinal Microbiota-Associated Markers as Tools of Precision Medicine in Inflammatory Bowel Disease Paediatric Patients.

Recent evidence indicates that the gut microbiota (GM) has a significant impact on the inflammatory bowel disease (IBD) progression. Our aim was to investigate the GM profiles, the Microbial Dysbiosis Index (MDI) and the intestinal microbiota-associated markers in relation to IBD clinical characteristics and disease state. We performed 16S rRNA metataxonomy on both stools and ileal biopsies, metabolic dysbiosis tests on urine and intestinal permeability and mucosal immunity activation tests on the stools of 35 IBD paediatric patients. On the GM profile, we assigned the MDI to each patient. In the statistical analyses, the MDI was correlated with clinical parameters and intestinal microbial-associated markers. In IBD patients with high MDI, Gemellaceae and Enterobacteriaceae were increased in stools, and Fusobacterium, Haemophilus and Veillonella were increased in ileal biopsies. Ruminococcaceae and WAL_1855D were enriched in active disease condition; the last one was also positively correlated to MDI. Furthermore, the MDI results correlated with PUCAI and Matts scores in ulcerative colitis patients (UC). Finally, in our patients, we detected metabolic dysbiosis, intestinal permeability and mucosal immunity activation. In conclusion, the MDI showed a strong association with both severity and activity of IBD and a positive correlation with clinical scores, especially in UC. Thus, this evidence could be a useful tool for the diagnosis and prognosis of IBD.

Prediction of COVID-19 Hospitalization and Mortality Using Artificial Intelligence.

BACKGROUND: COVID-19 has had a substantial influence on healthcare systems, requiring early prognosis for innovative therapies and optimal results, especially in individuals with comorbidities. AI systems have been used by healthcare practitioners for investigating, anticipating, and predicting diseases, through means including medication development, clinical trial analysis, and pandemic forecasting. This study proposes the use of AI to predict disease severity in terms of hospital mortality among COVID-19 patients. METHODS: A cross-sectional study was conducted at King Abdulaziz University, Saudi Arabia. Data were cleaned by encoding categorical variables and replacing missing quantitative values with their mean. The outcome variable, hospital mortality, was labeled as death = 0 or survival = 1, with all baseline investigations, clinical symptoms, and laboratory findings used as predictors. Decision trees, SVM, and random forest algorithms were employed. The training process included splitting the data set into training and testing sets, performing 5-fold cross-validation to tune hyperparameters, and evaluating performance on the test set using accuracy. RESULTS: The study assessed the predictive accuracy of outcomes and mortality for COVID-19 patients based on factors such as CRP, LDH, Ferritin, ALP, Bilirubin, D-Dimers, and hospital stay (p-value ≤ 0.05). The analysis revealed that hospital stay, D-Dimers, ALP, Bilirubin, LDH, CRP, and Ferritin significantly influenced hospital mortality (p ≤ 0.0001). The results demonstrated high predictive accuracy, with decision trees achieving 76%, random forest 80%, and support vector machines (SVMs) 82%. CONCLUSIONS: Artificial intelligence is a tool crucial for identifying early coronavirus infections and monitoring patient conditions. It improves treatment consistency and decision-making via the development of algorithms.

Association between plant-based dietary index and disease severity in patients with ulcerative colitis: a cross-sectional study.

BACKGROUND: Plant foods are naturally rich in anti-inflammatory nutrients. In this cross-sectional study, we assessed the association between the plant-based dietary index (PDI) and Mayo score in patients with ulcerative colitis (UC). METHODS: This analytical cross-sectional study included 158 patients with UC. The Mayo score was used to determine disease severity. An expert nutritionist performed the anthropometric assessments. A 168-item quantitative food frequency questionnaire (FFQ) was used to calculate the PDI, healthy PDI (hPDI), and unhealthy PDI (uPDI). To assess the association between the total Mayo score (as a dependent factor) and different indices of PDI (as an independent variable), the linear regression model was used. RESULTS: The mean age of participants was 42.52 ± 12.61 years. There were significant differences in the total Mayo score between tertiles of PDI score (p = 0.02). The result of linear regression showed that in the unadjusted model, compared with the patients in the first tertile of PDI, the patients in the second (-0.21 (-1.89, -0.17)), and third tertile (-0.21 (-1.95, -0.16)) had significantly lower total mayo scores. The inverse association remained significant after adjusting for covariates. However, uPDI and hPDI tertiles were not significantly associated with total Mayo scores in the adjusted and unadjusted models. CONCLUSION: higher PDI was significantly associated with higher UC severity. However, considering the limitations of the study, more cohort studies are needed to confirm these results.

Screening Clinical, Laboratory and Host Markers for Diagnosis of Disease Severity in Plasmodium vivax Clinical Samples.

Malaria is one of the most infectious disease that affects lives of million people throughout the world. Recently, there are several reports which indicate Plasmodium vivax (P. vivax) causing severe disease in infected patients from different parts of the world. For P. vivax disease severity, the data related to immunological and inflammatory status in human host is very limited. In the present study clinical parameters, cytokine profile and integrin gene were analyzed in P. vivax clinical patients. A total of 169 P. vivax samples were collected and categorized into severe vivax malaria (SVM; n = 106) and non-severe vivax malaria (NSVM; n = 63) according to WHO severity criteria. We measured host biomarker levels of interferon (IFN-γ), superoxide dismutase (SOD-1), interleukins viz. (IL-6, IL-10), and tumor necrosis factor (TNF-α) in patient plasma samples by ELISA for pro- and anti-inflammatory cytokines in severe malaria. Host integrin gene was genotyped using PCR assay. In our study, thrombocytopenia and anemia were major symptoms in severe P. vivax patients. In analyzed SVM and NSVM groups a significant increase in cytokine levels (IL-10, IL-6, and TNF-α) and anti-oxidant enzyme SOD-1 was found. Our study results also showed a higher pro-inflammatory (TNF-α, IL-6 and IFN-γ) to anti-inflammatory (IL-10) cytokine ratio in severe vivax patients. Integrin gene showed no mutation with respect to thrombocytopenic patients among clinically defined groups. It was observed that severe vivax cases had increased cytokine levels irrespective of age and sex of the patients along with thrombocytopenia and other clinical manifestations. The results of current findings could serve as baseline data for evaluating severe malaria parameters during P. vivax infections and will help in developing an effective biomarker for diagnosis. Supplementary Information: The online version contains supplementary material available at 10.1007/s12088-024-01324-4.

The value of the systemic immune-inflammation index in assessing disease severity in autoimmune encephalitis.

BACKGROUND: Autoimmune encephalitis (AE) is a group of autoimmune diseases targeting the central nervous system, characterized by severe clinical symptoms and substantial consumption of medical resources. Neuroinflammation plays a crucial role in disease progression, and detecting inflammatory responses can provide insights into disease status and disease severity. The systemic immune-inflammation index (SII), a novel marker of inflammatory status, has been rarely studied in AE. METHODS: Retrospective analysis of data from AE patients admitted to the First Affiliated Hospital of Zhengzhou University between January 2019 and September 2023 was conducted. Univariate analysis and logistic regression were used to assess the association between SII and patient severity. Nomograms for predicting AE severity were established, and receiver operating characteristic (ROC) curves, concordance index (C-index), calibration curves, and decision curve analysis were employed to evaluate predictive accuracy. Additionally, the Clinical Assessment Scale in Autoimmune Encephalitis (CASE) score was used to assess patient severity. RESULTS: This study enrolled 157 patients, of whom 57 were classified as severe according to the CASE score. SII, cerebrospinal fluid (CSF) cell counts, disturbance of consciousness, and behavioural abnormalities independently associated with the occurrence of severe cases. The C-index of the nomograms was 0.87, indicating strong association with disease severity, as supported by the calibration. Additionally, SII levels were highest within seven days of onset and decreased after one month. In subgroup analyses of different antibodies, SII also associations with severe cases in NMDAR encephalitis. CONCLUSIONS: Higher SII levels are associated with an increased likelihood of developing severe AE, peaking within 7 days of disease onset and decreasing thereafter, potentially offering a prognostic marker to assess disease progression early in its course.

Acute-phase proteins as indicators of disease severity and mortality in COVID-19 patients.

The aim of the study was to conduct of relationship of acute-phase proteins (APPs) with the severity of COVID-19 defined by National Institutes of Health and according to the criteria of MEWS scale, with the presence of a cytokine storm, oxygen therapy and patient survival. We enrolled 96 patients with COVID-19 and 30 healthy people. The samples were taken on the day of admission and after 9 days on average. Not only commonly used APPs such as CRP, procalcitonin and ferritin and also rarely assayed proteins such as transferrin, haptoglobin, α1-acid glycoprotein and α1-antitrypsin, were tested in the study. The levels of APPs depends on the severity of COVID-19 disease, on the presence of cytokine storm and used oxygen therapy. The greatest APPs changes occurred in the most advanced form of the disease, with the presence of a cytokine storm and the most intense oxygen therapy. The results obtained from MEWS scale were not consistent with National Institutes of Health scores. Studies in the second samples showed the quenching of the acute phase reactions and the effectiveness of oxygen therapy. Only two of the examined APPs i.e. procalcitonin and transferrin, differed between surviving and non-surviving patients, and these two predispose to the role of prognostic factors in Covid-19. In conclusion, the concentration of not all acute-phase proteins depends on the severity of COVID-19 disease, presence of cytokine storm, the used of oxygen therapy and only some of them (procalcitonin and transferrin) are related to the survival outcomes. Of the newly tested acute-phase proteins, only transferrin shows significance as a marker of disease severity and mortality in COVID-19 disease.

Systemic immune-inflammation index combined with pediatric appendicitis score in assessing the severity and prognosis for paediatric appendicitis.

BACKGROUND: Pediatric appendicitis is a common cause of abdominal pain in children and is recognized as a significant surgical emergency. A prompt and accurate diagnosis is essential to prevent complications such as perforation and peritonitis. AIM: To investigate the predictive value of the systemic immune-inflammation index (SII) combined with the pediatric appendicitis score (PAS) for the assessment of disease severity and surgical outcomes in children aged 5 years and older with appendicitis. METHODS: Clinical data of 104 children diagnosed with acute appendicitis were analyzed. The participants were categorized into the acute appendicitis group and chronic appendicitis group based on disease presentation and further stratified into the good prognosis group and poor prognosis group based on prognosis. The SII and PAS were measured, and a joint model using the combined SII and PAS was constructed to predict disease severity and surgical outcomes. RESULTS: Significant differences were observed in the SII and PAS parameters between the acute appendicitis group and chronic appendicitis group. Correlation analysis showed associations among the SII, PAS, and disease severity, with the combined SII and PAS model demonstrating significant predictive value for assessing disease severity [aera under the curve (AUC) = 0.914] and predicting surgical outcomes (AUC = 0.857) in children aged 5 years and older with appendicitis. CONCLUSION: The study findings support the potential of integrating the SII with the PAS for assessing disease severity and predicting surgical outcomes in pediatric appendicitis, indicating the clinical utility of the combined SII and PAS model in guiding clinical decision-making and optimizing surgical management strategies for pediatric patients with appendicitis.

Impact of Serum Triglyceride Levels on Severity and Outcomes in Acute Biliary Pancreatitis: A Retrospective Cohort Study.

Background Acute biliary pancreatitis (ABP), a major inflammatory illness, is primarily caused by gallstone blockage of the common bile duct. The pathophysiology of ABP has been linked to serum triglyceride (TG) levels, suggesting a potential role for TG in predicting disease severity. Objective The research objective was to investigate the association between serum TG levels and the severity of ABP. Methodology This retrospective cohort study sought to determine the relationship between blood TG levels and the severity of ABP. It was conducted at Lady Reading Hospital in Peshawar, Pakistan, from September 2023 to March 2024. A total of 530 ABP patients were divided into two groups based on their TG levels: normal (<150 mg/dl) and elevated (≥150 mg/dl). Clinical data were gathered, including demographics, comorbidities, laboratory results, severity ratings (APACHE II and Ranson's criteria), and clinical outcomes. Descriptive statistics, Chi-square tests, and multivariate logistic regression were used in the statistical analysis. Results Patients with elevated TG levels (n=130) demonstrated higher median Ranson's criteria (3.24 vs. 2.53, p<0.001) and APACHE II scores (10.53 vs. 8.73, p<0.001) compared to those with normal TG levels (n=400). Elevated TG levels were associated with increased severity of ABP, with ORs of 2.41 (95% CI: 1.23-4.74) for mild vs. severe ABP. Clinical outcomes such as ICU admission (21.54% vs. 3.25%, p<0.001), mortality (6.15% vs. 0.50%, p<0.001), and pancreatic necrosis (10.77% vs. 1.25%, p<0.001) were significantly worse in the elevated TG group. Conclusion Elevated serum TG levels (≥150 mg/dl) are independently associated with increased severity of ABP, as indicated by higher severity scores and poorer clinical outcomes.

Current clinical practice of prurigo nodularis in Japan: A cross-sectional web-survey among dermatologists.

Prurigo nodularis (PN) is a chronic inflammatory skin disease associated with intense pruritic nodules. The unclear patho-etiological mechanisms of PN cause difficulty in disease management; and there is a paucity of information on the current diagnosis and treatment options for PN in Japan. To describe the current management from a dermatologists' perspective we conducted a web-based survey (UMIN Clinical Trial Registry UMIN000047643) in 2022 among dermatologists from a Japanese commercially available physician panel, who had seen at least one patient with PN within the last 3 months. The survey included 117 dermatologists. The dermatologists diagnosed PN mainly by confirming clinical signs and patient interviews, while to assess the severity of PN, the number of pruritic nodules and the degree of itching were primarily utilized. Topical corticosteroids and antihistamines were the most used drugs, as recommended in the current guidelines on the diagnosis and treatment of prurigo. Dermatologists' treatment satisfaction decreased with increasing assumed severity of PN; almost 65% dermatologists were not satisfied with the treatment of severe PN. These results suggest the need of more effective medications and diagnostic tools for better management of PN in Japan.

Association between COVID-19 severity with liver abnormalities: A retrospective study in a referral hospital in Indonesia.

Coronavirus disease 2019 (COVID-19) is characterized by an acute respiratory infection with multisystem involvement and the association of its severity to liver function abnormalities is not well characterized. The aim of this study was to assess the association between the severity of COVID-19 patients and liver function abnormalities. This retrospective study included adult patients with confirmed COVID-19, which were classified as non-severe or severe according to World Health Organization guidelines. Liver function test results were compared between the severity groups. A total of 339 patients were included of which 150 (44.25%) were severe cases. The male-to-female ratio was 0.9:1 and 3:2 in the non-severe and severe groups, respectively (p=0.031). Aspartate aminotransferase (AST), alanine transaminase (ALT), and total bilirubin levels and acute liver injury (ALI) incidence were significantly higher in the severe group compared to non-severe group (p<0.001, p<0.001, p=0.025, p=0.014, respectively). In contrast, albumin levels were significantly lower (p=0.001). Multivariate analysis showed that ALI was significantly associated with human immunodeficiency virus (HIV) infection (odds ratio (OR): 5.275; 95% confidence interval (CI): 1.165-23.890, p=0.031), hemoglobin level (OR: 1.214; 95%CI: 1.083-1.361, p=0.001), and hypoalbuminemia (OR: 2.627; 95%CI: 1.283-5.379, p=0.008). Pre-existing liver diseases were present in 6.5% of patients. No significant differences were observed between the groups based on COVID-19 severity and ALI presence. Liver function test abnormalities, including ALI, are more prevalent in patients with severe COVID-19 infection. HIV infection, high hemoglobin levels, and hypoalbuminemia may be potential risk factors for ALI.

Quantitative assessment of rotator cuff injuries using synthetic MRI and IDEAL-IQ imaging techniques.

Purpose: To evaluate synthetic magnetic resonance imaging (SyMRI) and iterative decomposition of water and fat with echo asymmetry and least squares estimation (IDEAL-IQ) imaging for a comprehensive evaluation of rotator cuff injuries (RCI). Methods: Ninety-seven patients with RCI were classified into four groups based on the arthroscopic results: (grade II), partial tear (grade III), complete tear (grade IV), and controls (grade I). T1 (Transverse Relaxation Time 1), T2 (Transverse Relaxation Time 2), proton density (PD), and fat fraction (FF) were evaluated using SyMRI and IDEAL-IQ. Measurement reliability was assessed using intraclass correlation coefficients (ICC). The diagnostic potential for grading RCI was evaluated using ordinal regression and ROC analyses. Results: A high measurement reliability (ICC > 0.7) was observed across subregions. T1 and T2 significantly varied across grades, particularly T2 in the lateral subregion between grades III and IV (P < 0.001) and the central subregion between grades II and III (P < 0.001). ROC analyses yielded valuable diagnostic accuracy, including T2 in the lateral subregion with an AUC of 0.891, distinguishing grade I from grade IV. Positive correlations were found between T2 values in specific shoulder subregions and injury grade (r = 0.615 for lateral, r = 0.542 for medial, both P < 0.001). In grade IV, FF was notably increased in the supraspinatus, infraspinatus, and subscapularis muscles compared with grades I-III. There were no significant FF variations in the teres minor muscle among grades. Conclusions: Quantitative MRI parameters from SyMRI and IDEAL-IQ, especially T2 and FF, may classify and assess RCI severity. The results could help improve the accuracy of diagnosing different grades of RCI, offering clinicians additional tools for improving patient outcomes through personalized medicine.

Association between pertactin-producing Bordetella pertussis and fulminant pertussis in infants: a multicenter study in France, 2008-2019.

OBJECTIVES: Virulence factors of the causative agent, Bordetella pertussis, may be involved in fulminant pertussis, the most severe form of whooping cough (pertussis) in infants. We aimed to assess the association between fulminant pertussis and the status of pertactin (PRN) production of B. pertussis clinical isolates. METHODS: Symptomatic infants aged <6 months and with a positive B. pertussis culture from 2008-2019 were included. B. pertussis isolates and clinical data were collected from French hospital laboratories through the national pertussis surveillance network. Fulminant pertussis was defined as a case with a leukocyte count > 40 x 109/L and at least one of the following criteria: respiratory failure, pulmonary hypertension, shock, or multiple organ failure. PRN production was assessed by western blotting. Baseline characteristics of infants and microbiological findings were compared between patients with and without fulminant pertussis. To identify patient and microbiological features associated with fulminant pertussis, a multivariable modified Poisson regression model was developed with confounders selected using a directed acyclic graph. RESULTS: We included 361 infants with pertussis (median age 63 days [interquartile range, 39-86]), of which 32 (9%) progressed to fulminant pertussis. None of the mothers was vaccinated during pregnancy. Of the 361 implicated B. pertussis isolates, 294 (81%) produced PRN. Patients with fulminant pertussis were more often neonates (adjusted relative risk [aRR] 3.62, 95% confidence interval [CI] 1.76-7.44), infants with a history of prematurity (aRR 7.08, 95%CI 3.06-16.36), unvaccinated infants (aRR 4.42, 95%CI 1.02-19.24), and infants infected by PRN-producing isolates (aRR 3.76, 95%CI 1.02-13.83). CONCLUSIONS: PRN-producing B. pertussis was independently associated with an increased risk of fulminant pertussis. In a context where PRN-containing aP vaccines favor the emergence of PRN-deficient isolates, our study suggests a positive role for such vaccines in driving the evolution of B. pertussis populations towards reduced virulence.

Clinical value of monitoring cytokine levels for assessing the severity of mycoplasma pneumoniae pneumonia in children.

BACKGROUND: To investigate the clinical relevance of cytokine levels in assessment of the severity of mycoplasma pneumoniae pneumonia (MPP) in children. METHODS: A retrospective study was conducted on 150 pediatric cases of MPP admitted to a local hospital in China from November 1, 2022 to October 31, 2023. These MPP cases were divided into mild (n=100) and severe (n=50) groups according to the severity of the disease. Cytokine levels, including Interferon-γ (IFN-γ), Tumor Necrosis Factor-α (TNF-α), C-reactive protein (CRP), Interleukin-6 (IL-6), Interleukin-2 (IL-2), and D-Dimer (D-D), were compared between the two groups. The diagnostic efficacy of each cytokine in assessing the severity of MPP was analyzed through Receiver Operating Characteristic (ROC) curves, and correlation between cytokine levels and disease severity was assessed using Pearson's correlation coefficient. RESULTS: The IL-2 level was significantly lower, while TNF-α, IL-6, and IFN-γ levels were significantly higher in the severe group compared to the mild group (all P<0.05). TNF-α, IFN-γ, IL-2, IL-6, CRP, and D-D were identified as factors influencing the severity of MPP (all P<0.05). The ROC curve analysis showed that the areas under the curve (AUCs) of TNF-α, IL-2, IL-6, IFN-γ, CRP, and D-D were 0.864, 0.692, 0.874, 0.949, 0.814, and 0.691, respectively (all P<0.001), indicating their diagnostic value in assessing the severity of MPP. There exists a positive correlation between IL-2 and the percentage of normal lung density on Computed Tomography (CT) scan (P<0.05), while TNF-α, IL-6, IFN-γ, CRP, and D-D showed negative correlations with the percentage of normal lung density (P<0.05). CONCLUSION: Cytokines such as TNF-α, IL-2, IL-6, IFN-γ, CRP, and D-D are aberrantly expressed in children with MPP and are associated with the severity of the disease. These cytokines have high diagnostic value and can serve as reference indicators for clinical, especially prognostic assessment of the severity of (pediatric) MPP.

Time preference shifts in medical decision-making after serious illness.

This study explores the impact of serious illnesses, such as cancer, on patients' time preferences in medical decision-making. Specifically, we assess how patients value extending their lifespan by one year under varying survival prognoses through three experimental studies. The findings reveal that patients exhibit a higher Subjective Discount Rates (SDR) in their medical decisions after a serious illness diagnosis. Notably, this difference in individual health also affects the time preferences of their family members. Additionally, the subjective contextual setting of the illness can also increase an individual's SDR levels. The research highlights a tendency for patients and families facing a potential short life expectancy to focus more on immediate concerns, leading to potentially shortsighted and irrational medical choices. This behavior often results in regret during the end-of-life stage. These insights are vital for healthcare professionals in optimizing treatment plans and for policymakers in understanding patient behaviors more comprehensively. The study emphasizes the need for considering psychological and behavioral changes in patients grappling with severe health challenges.

COVID-19 vaccine uptake in a predominantly minoritized cohort hospitalized during the early pandemic in New York City.

BACKGROUND: Minoritized communities in the United States have had higher COVID-19 mortality and lower vaccine uptake. The influence of previous SARS-CoV-2 infection, initial disease severity, and persistent symptoms on COVID-19 vaccine uptake in Black and Latinx communities has not been examined. OBJECTIVE: To investigate whether initial COVID-19 severity, persistent symptoms, and other correlates affected vaccine uptake in a predominantly minoritized cohort hospitalized for COVID-19 during the early pandemic in New York City. DESIGN: In this historical cohort study, we abstracted electronic health record data on demographics, comorbidities, hospital oxygen requirements, symptoms at 3 and 6 months post-admission, COVID-19 vaccinations through November 2022, and influenza vaccinations during the 2018-2019 through 2021-2022 seasons. Unadjusted and adjusted odds ratios were estimated through logistic regression analyses of correlates of COVID-19 vaccination, on-time vaccination, and boosting. PARTICIPANTS: Survivors among the first 1186 adult patients hospitalized for COVID-19 between March 1 and April 8, 2020 at a large quaternary care medical center in Northern Manhattan. MAIN MEASURES: Uptake of at least one COVID-19 vaccine dose, uptake of at least one booster, and on-time vaccination. KEY RESULTS: The 890 surviving individuals were predominantly Latinx (54%) and Non-Hispanic Black (15%). Most had one or more comorbidities (67%), and received at least one COVID-19 vaccine dose (78%). Among those vaccinated, 57% received at least one booster, and 31% delayed vaccination. 67% experienced persistent symptoms. Multiple logistic regression showed no association between vaccine uptake and disease severity or symptom persistence. However, older age and influenza vaccination during the COVID-19 era were associated with increased vaccination, booster uptake, and on-time vaccination. CONCLUSIONS: Pinpointing drivers of vaccine uptake and hesitancy is critical to increasing and sustaining COVID-19 vaccination as the field transitions to annual boosters. The association between influenza vaccination and increased vaccine uptake suggests that bundling vaccines for adults may be an effective delivery strategy.

Discrepancies between Coronary Artery Calcium Score and Coronary Artery Disease Severity in Computed Tomography Angiography Studies.

The aim of this paper is to demonstrate the difference in usefulness of the coronary artery calcium score (CACS) and the full assessment of the severity of coronary artery disease in coronary computed tomography angiography (CCTA) studies. The difference between the population risk of coronary artery disease (CAD) assessed by the CACS and the severity of CAD was demonstrated in images from two CCTA studies. The first image is from a patient with a CACS of 0 and significant coronary artery stenosis. In the native phase of CCTA examination, no calcified changes were detected in the topography of the coronary arteries. In the middle section of the left descending artery (LAD), at the level of the second diagonal branch (Dg2), a large non-calcified atherosclerotic plaque was visible. Mid-LAD stenosis was estimated to be approximately 70%. The second image features a patient with a high CACS but no significant coronary artery stenosis. The calcium score of individual coronary arteries calculated using the Agatston method was as follows: left main (LM) 0, LAD 403, left circumflex (LCx) 207.7, right coronary artery (RCA) 12. CACS was 622.7, representing a significant population risk of significant CAD. In the proximal and middle sections of the LAD, numerous calcified and mixed atherosclerotic plaques with positive remodeling were visible, causing stenosis of 25-50%. Similarly, in the proximal and middle sections of the LCx, numerous calcified and mixed atherosclerotic plaques with positive remodeling were visualized, causing stenoses of 25-50%. Calcified atherosclerotic plaques were found in the RCA, causing stenosis <25%. The entire CCTA image met CAD-RADS 2 (coronary artery disease reporting and data system) criteria. In summary, CACS may be applicable in population-based studies to assess the risk of significant CAD. In the evaluation of individual patients, a comprehensive assessment of CAD severity based on the angiographic phase of the CCTA examination should be used.