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.

On-site burn severity assessment using smartphone-captured color burn wound images.

Accurate assessment of burn severity is crucial for the management of burn injuries. Currently, clinicians mainly rely on visual inspection to assess burns, characterized by notable inter-observer discrepancies. In this study, we introduce an innovative analysis platform using color burn wound images for automatic burn severity assessment. To do this, we propose a novel joint-task deep learning model, which is capable of simultaneously segmenting both burn regions and body parts, the two crucial components in calculating the percentage of total body surface area (%TBSA). Asymmetric attention mechanism is introduced, allowing attention guidance from the body part segmentation task to the burn region segmentation task. A user-friendly mobile application is developed to facilitate a fast assessment of burn severity at clinical settings. The proposed framework was evaluated on a dataset comprising 1340 color burn wound images captured on-site at clinical settings. The average Dice coefficients for burn depth segmentation and body part segmentation are 85.12 % and 85.36 %, respectively. The R2 for %TBSA assessment is 0.9136. The source codes for the joint-task framework and the application are released on Github (https://github.com/xjtu-mia/BurnAnalysis). The proposed platform holds the potential to be widely used at clinical settings to facilitate a fast and precise burn assessment.

Exploring the Association of Bacterial Coinfections with Clinical Characteristics of Patients with Nontuberculous Mycobacterial Pulmonary Disease.

BACKGROUND: Clinical data for bacterial coinfection of the lower respiratory tract in patients with nontuberculous mycobacterial pulmonary disease (NTM-PD) are scarce. This study aims to assess the prevalence of bacterial coinfection and clinical features in NTM-PD patients. METHODS: This retrospective study screened 248 patients with NTM-PD who underwent bronchoscopy between July 2020 and July 2022, from whom newly diagnosed NTM-PD patients were analyzed. Bacterial culture using bronchial washing fluid was performed at the time of NTM-PD diagnosis. RESULTS: In the 180 patients (median age 65 years; 68% female), Mycobacterium avium complex (86%) was the most frequent NTM isolated. Bacterial coinfections were detected in 80 (44%) patients. Among them, the most common bacterium was Klebsiella pneumoniae (n=25/80, 31.3%), followed by Pseudomonas aeruginosa (n=20/80, 25%) and Staphylococcus aureus (n=20/80, 25%). Compared with NTM-PD patients without bacterial coinfections, patients with bacterial coinfections showed more frequent extensive lung involvement (33% vs. 1%, p<0.001). Additionally, compared with NTM-PD patients without P. aeruginosa infection, those with P. aeruginosa infection were older (74 years vs. 64 years, p=0.001), had more frequent respiratory symptoms (cough/excessive mucus production 70% vs. 38%, p=0.008; dyspnea 30% vs. 13%, p=0.047), and had extensive lung involvement (60% vs. 9%, p<0.001). CONCLUSION: Less than half of patients with newly diagnosed NTM-PD had bacterial coinfections, linked to extensive lung involvement. Specifically, P. aeruginosa coinfection was significantly associated with older age, more frequent respiratory symptoms, and extensive lung involvement.

Intergenerational transmission of comorbid internalizing and externalizing psychopathology at age 11: Evidence from an adoption design for general transmission of comorbidity rather than homotypic transmission.

Psychopathology is intergenerationally transmitted through both genetic and environmental mechanisms via heterotypic (cross-domain), homotypic (domain-specific), and general (e.g., "p-factor") pathways. The current study leveraged an adopted-at-birth design, the Early Growth and Development Study (57% male; 55.6% White, 19.3% Multiracial, 13% Black/African American, 10.9% Hispanic/Latine) to explore the relative influence of these pathways via associations between adoptive caregiver psychopathology (indexing potential environmental transmission) and birth parent psychopathology (indexing genetic transmission) with adolescent internalizing and externalizing symptoms. We included composite measures of adoptive and birth parent internalizing, externalizing, and substance use domains, and a general "p-factor." Age 11 adolescent internalizing and externalizing symptom scores were the average of adoptive parent reports on the Child Behavior Checklist (n = 407). Examining domains independently without addressing comorbidity can lead to incorrect interpretations of transmission mode. Therefore, we also examined symptom severity (like the "p-factor") and an orthogonal symptom directionality score to more cleanly disentangle transmission modes. The pattern of correlations was consistent with mostly general transmission in families with youth showing comorbid internalizing and externalizing symptoms, rather than homotypic transmission. Findings more strongly supported potential environmental or evocative mechanisms of intergenerational transmission than genetic transmission mechanisms (though see limitations). Parent-specific effects are discussed.

Role of interleukin 6 polymorphism and inflammatory markers in outcome of pediatric Covid- 19 patients.

BACKGROUND: IL-6 polymorphisms were associated to viral infection outcomes through affection of IL-6 production and it is an early indicator of tissue injury and systemic inflammatory response. The study aimed to determine whether genetic IL-6 polymorphisms, serum interleukin-6 level and inflammatory markers (Presepsin, CXCL-10, C3, and C4) are associated with the prediction of disease severity in pediatric COVID-19 patients and its possible use as a prognostic tool in pediatric patients admitted to hospital. METHODS: This prospective cohort study was conducted on 150 children with COVID-19. Patients were divided according to the severity of infection into four groups: group I (mild) 67 cases; group II (moderate) 53 cases, group III (severe) 17 cases and group IV (critical) 14 cases. Serum Interleukin 6, CXCL-10, Presepsin, renal and liver functions, electrolytes, C3, C4, ferritin, and D dimer serum levels were assessed in all patients. The Kruskal Wallis test used to compare parametric quantitative data between studied groups and Mann Whitney test for each pair of groups. Non-parametric quantitative data was compared between studied groups using a one-way ANOVA test and post-hoc Bonferroni analysis for each pair of groups. RESULTS: Group I: 35 males and 32 females with a median age of 16 months. Group II: 17 males and 35 females with a median age of 13 months. Group III: 6 males and 11 females with a median age of 12 months and group IV: 3 males and 11 females with a median age of 12 months. There was no statistical difference between the studied groups regarding gender and age. Serum levels of IL- 6, serum ferritin; D-dimer, Presepsin and CXCL 10 were significantly higher in both severe and critical groups than the other 2 groups (mild and moderate). ROC curve analysis showed that interleukin-6 and Presepsin were good markers for prediction of severity of COVID-19 among the diseased children. For severe cases, the sensitivity of interleukin-6 was 76.47% and specificity was 92.31%. For critical cases, the sensitivity of interleukin-6 was 71.43% and specificity was 82.35%. The sensitivity of Presepsin was 76.47% and specificity was 88.46% in severe cases. For critical cases, the sensitivity of Presepsin was 78.57% and specificity of 91.2%. There was significant difference in IL-6 572 allelic among moderate cases with the most frequent 42.3% for genotype (GC) and allelic among severe cases with the most frequent 47.1% for genotype (GC). Significant difference in IL-6 174 allelic among critical cases with the most frequent 78.6% for genotype (CC). CONCLUSIONS: Children whom expressed GC genotypes of IL6 (-572G > C) polymorphism are at a considerably higher risk of developing a severe disease. This risk is significantly larger in the severe group of children than in children in critical condition who have GC genotypes of IL6 (-174 G > C) polymorphism. While IL6 (-597G > A) polymorphism has no role in COVID 19 severity in children.

Traumatised youth harbour feelings of revenge: investigating the association between PTSD symptomatology, vengeance, and willingness to forgive among the Congolese adolescent refugees in Uganda.

Background: Prolonged conflicts in the Democratic Republic of Congo (DRC) have caused widespread psychological trauma among civilians leading to maladaptive coping strategies across generations. Despite this occurrence, empirical studies on the prevalence of trauma and its impact on attitudes towards revenge and forgiveness, particularly among the youth, are scarce. This study aims to clarify the relationship between Post Traumatic Stress Disorder (PTSD) symptom severity and the desires for forgiveness and revenge among Congolese adolescents residing in Uganda.Methods: We analysed data from 269 adolescent refugees from the DRC living in the Nakivale refugee settlement in Southwestern Uganda. The assessment included exposure to war-related traumatic events and the MINI-KID for DSM-V PTSD symptom severity. The Heartland Forgiveness and Vengeance Scales measured willingness to forgive and feelings of vengeance.Results: Exposure to war-related traumatic events was notably high in our sample, with severe deprivation of food (260 [97%]), exposure to armed combat (249 [93%]), witnessing bombing, burning, or destruction of houses (245 [91%]), disappearance of family members (239 [89%]), and seeing dead bodies (236 [88%]). PTSD symptom severity was negatively associated with willingness to forgive (b = -0.48; 95% CI -0.71--0.25; p < .001) and positively associated with vengeance (b = 0.18; 95% CI 0.04-0.32; p = .011).Conclusion: PTSD symptom severity reduces the willingness to forgive and increases the desire for vengeance among adolescent refugees. Mental health clinicians and policymakers should consider addressing maladaptive coping behaviours related to feelings of revenge and unwillingness to forgive in their support strategies for refugees.

Children and adoscent refugees experience different traumatic events.PTSD symptomatology is positively associated with feelings of vengeance.PTSD symptoms severity negatively correlates with willingness to forgive.

Psychiatrists effect on positive symptom severity and daily functioning during pharmacotherapy for first-episode psychosis patients.

Clinical outcomes after a first-episode of psychosis (FEP) are heterogeneous. Many patient-related factors such as gender and comorbidity have been studied to predict symptomatic outcomes. However, psychiatrist-related factors such as prescription behaviour and gender have received little attention. We assessed the relationship between patients' psychiatrists, psychosis severity and daily functioning in 201 patients remitted from an FEP for a duration of one year, treated by 18 different psychiatrists. We controlled for baseline severity, dose and type of antipsychotic medication, frequency of visits, and patients' education. Symptom severity, daily functioning, and antipsychotic drug use were assessed at baseline and at 3, 6, and, 12 months follow-up. We found that psychiatrists accounted for 9.1% of the explained variance in patients' symptom severity and 10.1% of the explained variance in daily functioning.These effects persisted even when controlling for factors such as baseline severity and the prescribed dose. The effect of prescribed dose on symptom severity and daily functioning differed between psychiatrists. Treatment centre, session frequency, and medication nonadherence were not related to symptom severity. Our results emphasize the importance of individual psychiatrist factors in symptomatic outcomes after an FEP. Further identification of psychiatrist-related factors such as the quality of therapeutic alliances and shared decision-making, may optimize psychiatrists' training with the goal of improving patient outcomes.

Application of disease activity index in rheumatoid arthritis management in Korea.

Effective management of rheumatoid arthritis (RA) necessitates the accurate measurement of disease activity using a treat-to-target strategy established as a cornerstone approach. Disease activity assessment tools such as the Disease Activity Score in 28 joints (DAS28), Simplified Disease Activity Index, Clinical Disease Activity Index, and Routine Assessment of Patient Index Data 3 have been internationally validated and recognised. In Korea, the government initiated a quality assessment program mandating routine measurement of DAS28 to ensure high-quality RA management. However, whether the DAS28 is the most suitable disease activity measurement tool in the Korean clinical environment is a topic worth considering. In this review, we comprehensively examined disease activity measurement tools and their performance in the Korean context. We also propose a new strategy for measuring RA disease activity, tailored to the different situations encountered by physicians in routine clinical practice. This review may contribute to the improvement of the quality of care for patients with RA in Korea.

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.

Identifying the reciprocal causation between hit-and-run behavior and crash injury severity.

OBJECTIVE: Hit-and-run behavior is believed to exacerbate the injury severity of traffic crashes due to the delayed emergency response for the victims. However, several previous studies indicated the opposite finding that hit-and-run crashes were associated with less severe injuries. The relevant studies mainly identified the statistical associations between hit-and-run behavior and injury severity without revealing causation between them. To this end, the study aims to explore the reciprocal causation between the two variables. METHOD: The two-stage probit model with endogenous regressors is employed to identify the reciprocal causation between hit-and-run behavior and crash injury severity for single- and two-vehicle crashes, respectively, with the use of crash data extracted from the Crash Report Sampling System and Fatality Analysis Reporting System (2016-2019). RESULTS: The results indicate that 1) for both single- and two-vehicle crashes, the fleeing behavior can significantly increase the injury severity of the victims in the crashes while the severe injury of the victims has a negative impact on the propensity of such behavior, 2) the propensity of hit-and-run behavior is influenced by various instrumental variables such as driver age, gender, alcohol involvement, weekday, area type, and light condition, and 3) crash injury severity is significantly related to the victim age, gender, and vehicle damage. CONCLUSIONS: There is a reciprocal causation between hit-and-run behavior and injury severity in traffic crashes. The analytical results can provide a reasonable explanation for the counterintuitive finding on hit-an-run crashes and help mitigate the injury severity.

Understanding the heterogenicity of unicoronal synostosis - A morphometric analysis of cases compared to controls.

BACKGROUND: Preoperative severity of unicoronal synostosis varies greatly and involves the frontal bone, skull base and orbits. Degree of deformity affects long-term morphological and functional outcomes after surgery. The aim of this study was to describe the morphological heterogenicity and investigate its relation to patient-specific factors. MATERIALS AND METHODS: In this retrospective cohort study, non-syndromic unicoronal synostosis patients treated between 2006 and 2022 at Necker Hospital, France or Uppsala University Hospital, Sweden, were included and matched to controls. Severity of skull base, orbital and posterior skull asymmetry, degree of anterior plagiocephaly and Harlequin deformity, lateralisation, head circumference, age, timing of metopic fusion and fusion of peri-pterionic sutures were investigated. RESULTS: Ninety-five patients and ninety-three controls were included. Skull base asymmetry was linearly related to orbital asymmetry (p < 0.001), correlated with earlier CT scans (p = 0.004) and anterior (p < 0.001) and posterior (p = 0.03) plagiocephaly. Posterior plagiocephaly was more common in patients (31%) compared with controls (5%) (p < 0.001). A patent metopic suture above nine months of age was associated with severe Harlequin deformity (p = 0.04) and a lower head circumference when fused (p = 0.03). Fronto-sphenoidal suture fusion was associated with later CT scans (p < 0.001) and less skull base asymmetry (p = 0.002). Spheno-parietal fusion was correlated with decreased skull base asymmetry (p = 0.03). Right lateralisation was more common in females. CONCLUSIONS: Heterogenicity of unicoronal synostosis seems to be predominantly explained by variability in skull base morphology. Peri-pterionic fusions might limit deformity.

Effects of helmet usage on moped riders' injury severity in moped-vehicle crashes: Insights from partially temporal constrained random parameters bivariate probit models.

Mopeds are small and move unpredictably, making them difficult for other drivers to perceive. This lack of visibility, coupled with the minimal protection that mopeds provide, can lead to serious crashes, particularly when the rider is not wearing a helmet. This paper explores the association between helmet usage and injury severity among moped riders involved in collisions with other vehicles. A series of joint bivariate probit models are employed, with injury severity and helmet usage serving as dependent variables. Data on two-vehicle moped crashes in Florida from 2019 to 2021 are collected and categorized into three periods: before, during, and after the COVID-19 pandemic. Crash involvement ratios are calculated to examine the safety risk elements of moped riders in various categories, while significant temporal shifts are also explored. The correlated joint random parameters bivariate probit models with heterogeneity in means demonstrate their superiority in capturing interactive unobserved heterogeneity, revealing how various variables significantly affect injury outcomes and helmet usage. Temporal instability related to the COVID-19 pandemic is validated through likelihood ratio tests, out-of-sample predictions, and calculations of marginal effects. Additionally, several parameters are noted to remain temporally stable across multiple periods, prompting the development of a partially temporally constrained modeling approach to provide insights from a long-term perspective. Specifically, it is found that male moped riders are less likely to wear helmets and are negatively associated with injury/fatality rates. Moped riders on two-lane roads are also less likely to wear helmets. Furthermore, moped riders face a lower risk of injury or fatality during daylight conditions, while angle crashes consistently lead to a higher risk of injuries and fatalities across the three periods. These findings provide valuable insights into helmet usage and injury severity among moped riders and offer guidance for developing countermeasures to protect them.

Prevalence Estimation of Dementia/Alzheimer's Disease Using Health and Retirement Study Database in the United States.

BACKGROUND: Updated prevalence estimates along the continuum of Alzheimer's disease (AD) can foster a more nuanced and effective approach to managing AD within the current healthcare landscape. OBJECTIVES: This study aims to estimate the prevalence and severity distribution of dementia/AD (including mild, moderate, and severe stages) and all-cause mild cognitive impairment (MCI) in the United States using data from the Health and Retirement Study (HRS). DESIGN: Retrospective study. SETTING: Data from the bi-annual HRS surveys involving in-depth interviews of a representative sample of Americans aged >50 years. PARTICIPANTS: Dementia/AD and all-cause MCI patients from the 4 most recent HRS surveys (2014, 2016, 2018 and 2020). MEASUREMENTS: AD was identified based on diagnosis (self-report). Cognitive performance (modified Telephone Interview of Cognitive Status [TICS-m]) scores in the dementia/AD range were also captured; all-cause MCI was similarly identified using the TICS-m. Dementia/AD and MCI prevalence, as well as the distribution by dementia/AD stage (mild, moderate, or severe), were estimated. Sampling weights developed by HRS were applied to ensure the sample's representativeness of the target population and unbiased estimates for population parameters. RESULTS: Across the four HRS surveys, the total number of HRS respondents ranged from 15,000 to 21,000 (unweighted); 7,000 to 14,000 had TICS-m scores. The estimated prevalence of AD (all severity categories combined) in the 2014, 2016, 2018, and 2020 HRS surveys was 1.2%, 1.2%, 1.3% and 1.0%, respectively using the diagnosis-based approach; using the cognitive performance-based approach, 23-27% patients had scores in the dementia/AD ranges across the 4 surveys. The estimated prevalence of all-cause MCI was consistently 23% in each survey. In the 2020 survey, the distribution of mild, moderate, and severe disease stages was 34%, 45%, and 21%, respectively, in patients self-reporting an AD diagnosis, and 55%, 40%, and 5%, respectively in all patients meeting TICS-m threshold for dementia/AD. CONCLUSION: The prevalence of AD diagnosis based on self-report was approximately 1% across the 4 most recent HRS surveys and may reflect the proportion of patients who have actively sought healthcare for AD. Among HRS survey respondents with cognitive scores available, over 20% were in the dementia/AD range. The distribution of disease by stage differed for self-reported AD diagnosis vs dementia/AD based on cognitive scores. Discordance in estimates of dementia/AD and stage distributions underscores a need for better understanding of clinical practice patterns in AD diagnosis, use of clinical assessment tools, and severity classification in the United States. Accurate patient identification is needed, especially early in the AD disease continuum, to allow for timely and appropriate initiation of new anti-amyloid treatments.

Impaired mucosal IgA response in patients with severe COVID-19.

Several studies have investigated the antibody response to SARS-CoV-2, focusing particularly on the systemic humoral immune response and the production of immunoglobulin G (IgG) antibodies. IgA antibodies play a crucial role in protecting against respiratory viral infections but have also been associated with the pathophysiology of COVID-19. We performed a prospective study of 169 COVID-19 patients - 50 with critical/severe (ICU), 47 with moderate (Non-ICU), and 72 with asymptomatic COVID-19 - to explore the humoral immune response to SARS-CoV-2 infection. We found that the early systemic IgA response strongly induced in patients with severe disease did not block IgG neutralization functions and activated FcRs more effectively than IgG. However, even if SIgA levels were high, mucosal IgA antibodies could not control the infection effectively in patients with severe disease. Our findings highlight the complexity of the immune response to SARS-CoV-2 exhibiting high systemic levels of IgA with strong neutralizing capacity in severe cases, together with higher levels of IgA-FcR activation than in asymptomatic patients. They also suggest the need for further research to fully understand the role of IgA and its structural alterations in mucosal tissues in cases of severe disease and the impact of these antibodies on disease progression.

Assessing obsessive-compulsive symptoms in a subclinical and clinical sample: the development of the Hungarian version of the OCI-R.

OBJECTIVES: The prevalence of clinical obsessive-compulsive disorder (OCD) is around 1-2% in the population. Questionnaires, such as the OCI-R, are a useful tool in the diagnositc process. The purpose of this study was to develop the Hungarian version of the OCI-R, examine its validity and reliability, and its ability to differentiate between clinical and subclinical OCD. METHODS: Confirmatiory factor analysis was carried out on the subclinical sample (N = 4301). Reliability analysis was carried out on both samples, and Mann-Whitney tests were used to compare the two samples. RESULTS: The six-factor structure identical to the original was confirmed by confirmatory factor analysis. In the subclinical sample, all scales but Neutralizing had good reliability. Reliability analysis on the clinical sample (N = 26) showed good Cronbach's alpha values for all scales except for Hoarding. There were significant differences between the two groups on three scales: Neutralizing, Washing, and Obsessing, with the clinical group scoring significantly higher on these scales. The average score for Checking, Hoarding, and Ordering was higher in the subclinical sample, although the difference was not significant. CONCLUSION: The results highlight the advantages of symptom severity scales, such as the OCI-R, in the diagnostic process of obsessive-compulsive disorder. (Neuropsychopharmacol Hung 2024; 26(3): 144-152)

Age-dependent prevalence of malocclusions requiring treatment according to the KIG classification : A multipart cross-sectional study over a 10-year period from the district of Viersen/North Rhine.

BACKGROUND AND AIM: Patients with statutory health insurance (SHI) in Germany must undergo an assessment of orthodontic treatment need using the "Kieferorthopädische Indikationsgruppen" (KIG; orthodontic indication groups) classification system since 2002. A treatment need only exists if anomalies of a certain degree of severity are present. The aim of this study was to evaluate the age-dependent prevalence and percentage distribution of KIG grades requiring treatment in patients with SHI before the age of 18 over a 10-year period. PATIENTS AND METHODS: Between 2012 and 2021, treatment indication existed for 1951 (1025 female, 926 male) out of 2288 patients with SHI in the cohort of this study before the age of 18 according to current SHI guidelines. The KIG classification was based on the highest existing KIG grade. There were no multiple classifications. The patient cohort was divided into three patient groups (PG) according to chronological age for analysis: PG 1 < 10 years of age (early treatment), PG 2 10 to < 13 years of age (main treatment) and PG 3 13 to < 18 years of age (late treatment). RESULTS: In PG 1 (454 patients), the KIG classifications D (26.5%), K (25.5%), M (19.4%), and P (18.0%) dominated. In PG 2 (998 patients), classifications D (33.2%), predominated, whereas K (7.5%) and M (5.9%) rarely occurred. The classifications E (12.6%) and P (13.3%) appeared quite frequently. Transverse deviations occurred only about half as often in PG 2 as in PG 1 and PG 3. In PG 3 (499 patients), the classification E (17.6%) was particularly common, while P (2.6%) was rare. The proportion of KIG grades 5 decreased depending on age: 19% in PG 1, 13.5% in PG 2, 10.4% in PG 3. The prevalence of sagittal classifications was highest in all age groups (45.9% in PG 1, 39.1% in PG 2, 31.5% in PG 3). CONCLUSIONS: The distribution of KIG classifications requiring treatment was not homogeneous, but age dependent. The differences were particularly evident in the early treatment group and may be due to the limited applicability of the KIG classification system in patients before late mixed dentition. With increasing age at initial examination, the prevalence of sagittal classifications decreased, while that of vertical classifications increased. Still, the sagittal classifications D and M occurred most frequently in all age groups. The KIG classification D was always the most common in all patients until the age of 18.

Relation between peripheral blood inflammatory indices and severity of central retinal artery occlusion.

Background: Central retinal artery occlusion (CRAO) has been identified as an acute emergency resulting in vision loss, with its pathogenesis potentially involving systemic inflammation and abnormal lipid metabolism. Over recent years, it has been established that peripheral blood inflammatory indices, including the neutrophil-to-lymphocyte ratio (NLR), the systemic immunoinflammatory index (SII), and the monocyte-to-high-density lipoprotein ratio (MHR), play significant roles in assessing systemic inflammation and lipid metabolism. However, the role of these indices in assessing the severity of CRAO has rarely been explored. This study aimd to investigate the relationship between these inflammatory indices and the severity of CRAO. Methods: This was a retrospective clinical study with a total of 49 CRAO patients and 50 age- and sex-matched controls involved. The patients with CRAO were divided into three groups (13 with incomplete CRAO, 16 with subtotal CRAO and 20 with total CRAO). Data were compared across these groups, and additionally, correlation analysis, restricted cubic spline plots, and receiver operating characteristic curve analysis were performed. Results: The values of NLR, SII and MHR were significantly higher in the CRAO group compared to controls (NLR: 2.49(1.71,3.44) vs 1.60(1.24,1.97), P<0.001; SII: 606.46(410.25,864.35) vs 403.91(332.90,524.31), P=0.001; MHR: 0.33(0.26,0.44) vs 0.25(0.21,0.34), P<0.001). MHR was also significantly higher in total CRAO than in incomplete CRAO and subtotal CRAO (0.41(0.32,0.60) vs 0.29(0.21,0.43), P=0.036; 0.41(0.32,0.60) vs 0.29(0.23,0.38), P=0.017). Significant positive associations were found between MHR, NLR, SII and both the incidence (all P<0.001) and severity (P<0.001, P<0.001, P=0.003, respectively) of CRAO. MHR had a linear relationship with both the occurrence and severity of CRAO (P-overall=0.013, P-non-linear=0.427 and P-overall=0.013, P-non-linear=0.825). Combining MHR and NLR significantly improved diagnostic efficacy for CRAO and total CRAO, with area under the curve of 0.816 and 0.827, respectively, compared to using MHR alone (0.705 and 0.816). Conclusion: Elevated levels of peripheral blood NLR, SII, and MHR are positively associated with CRAO incidence, highlighting their potential as early predictive markers. The combined NLR and MHR index further enhances diagnostic accuracy and may facilitate timely assessment of CRAO severity by ophthalmologists and internists.

The Role of Hematocrit Levels in Diagnosing the Severity of Acute Pancreatitis: A Cross-Sectional Study at a Tertiary Care Center in Nepal.

Background and objective Acute pancreatitis (AP) is a frequent cause of hospitalization for gastrointestinal issues, with a significant proportion of cases requiring intensive care. Although various scoring systems are available to predict AP severity, they often involve inconvenience and can be time-consuming and expensive. Hematocrit, a simple, cost-effective, readily available hematological test, has been used to predict AP severity. However, its effectiveness has been inconsistent across different studies. In light of this, we aimed to analyze the role of hematocrit levels in determining AP severity. Methods We conducted a prospective study at Patan Hospital in Lalitpur, Nepal, from June 8, 2022, to June 27, 2023. Sixty-five AP patients were evaluated to determine the prognostic value of hematocrit at admission. The severity of AP was classified per the Revised Atlanta Classification. Results Among the patients, 52 (80%) had mild AP (MAP), five (7.69%) had moderately severe AP (MSAP), and eight (12.31%) had severe AP (SAP). The receiver operating characteristic (ROC) curve for admission hematocrit levels yielded an area under the curve (AUC) of 0.551 (95% CI: 0.423-0.675). A hematocrit cutoff value of 42% resulted in a sensitivity of 69.23% and a specificity of 46.15% for predicting severe AP (MSAP + SAP). Conclusions Based on our findings, hematocrit at admission is not a strong predictor of the severity of AP.

Predictors of the length of stay in psychiatric inpatient units: a retrospective study for the Paris Psychiatry Hospital Group.

Objective: Shortening the length of hospital stay (LOS) has become a major challenge for psychiatric hospitals in reducing unnecessary costs and improving the patient healthcare experience. We investigated the key factors associated with a long psychiatric hospitalization. Method: This was a retrospective study of 8,870 full-time psychiatric hospital stays (6,216 patients) in the Paris Psychiatry Hospital Group, with a discharge in 2022. We used machine learning tools and univariate and multivariate methods to explore the impact of demographic, pathway-related, and clinical variables on the LOS. Results: LOS >30 days was associated with age >55 years {odds ratio [OR] =2 [95% confidence interval 1.7-2.3]}, admission from outside the sectorization zone [OR=1.2 (1.1-1.3)], admission via a psychiatric emergency unit [OR, 1.2 (1.1-1.4)], and some clinical severity markers, such as psychotic disorder diagnosis [OR, 1.5 (1.3-1.7)], mandatory care [request of a third party, OR, 2.5 (2.1-2.9); case of imminent danger, OR, 2.3 (1.9-2.7)], the presence of seclusion and mechanical restraint measures (highlighting the positive effect of restraint duration), the somatic comorbidity for female sex [OR, 1.4 (1.2-1.7)], and treatment resistance [OR, 1.4 (1.2-1.6)]. Conversely, LOS ≤30 days was associated with being in a relationship [OR, 0.6 (0.5-0.8)], admission during a travel-related psychiatric episode [OR, 0.5 (0.3-0.6)], and personality and behavior disorders [OR, 0.7 (0.6-0.9)]. We found no significant association for features such as sex and a lack of treatment compliance. Conclusion: To our knowledge, this is the first recent study to investigate and highlight the impact of factors related to various illness severity markers, medication adherence, and patient journeys on the length of psychiatric hospital stay. A better understanding of long-stay risk factors might be helpful for optimizing the allocation of medical resources and anticipating tailored therapeutic programs.