Prediction models of the aphasia severity after stroke by lesion load of cortical language areas and white matter tracts: An atlas-based study.

OBJECTIVE: To construct relatively objective, atlas-based multivariate models for predicting early aphasia severity after stroke, using structural magnetic resonance imaging. METHODS: We analyzed the clinical and imaging data of 46 patients with post-stroke aphasia. The aphasia severity was identified with a Western Aphasia Battery Aphasia Quotient. The assessments of stroke lesions were indicated by the lesion load of both the cortical language areas (Areas-LL) and four white matter tracts (i.e., the superior longitudinal fasciculus, SLF-LL; the inferior frontal occipital fasciculi, IFOF-LL; the inferior longitudinal, ILF-LL; and the uncinate fasciculi, UF-LL) extracted from human brain atlas. Correlation analyses and multiple linear regression analyses were conducted to evaluate the correlations between demographic, stroke- and lesion-related variables and aphasia severity. The predictive models were then established according to the identified significant variables. Finally, the receiver operating characteristic (ROC) curve was utilized to assess the accuracy of the predictive models. RESULTS: The variables including Areas-LL, the SLF-LL, and the IFOF-LL were significantly negatively associated with aphasia severity (p < 0.05). In multiple linear regression analyses, these variables accounted for 59.4 % of the variance (p < 0.05). The ROC curve analyses yielded the validated area under the curve (AUC) 0.84 both for Areas-LL and SLF-LL and 0.76 for IFOF-LL, indicating good predictive performance (p < 0.01). Adding the combination of SLF-LL and IFOF-LL to this model increased the explained variance to 62.6 % and the AUC to 0.92. CONCLUSIONS: The application of atlas-based multimodal lesion assessment may help predict the aphasia severity after stroke, which needs to be further validated and generalized for the prediction of more outcome measures in populations with various brain injuries.

Severity Scores for Cutaneous Lupus Erythematosus.

Despite the significant disease burden of cutaneous lupus erythematosus (CLE), there have been no United States Food and Drug Administration-approved therapies for 65 years. To facilitate advancement of therapies, severity scores are needed to evaluate QOL, how patients feel, activity of disease, and organ-specific damage to assess response to therapies and disease progression. In this paper, we delineate the development process of provider- and patient-reported severity scores for CLE. Cutaneous Lupus Disease Area and Severity Index (CLASI), a provider-reported measure that distinguishes between activity and damage, has undergone rigorous validation and reliability testing for over 20 years. Its performance has been tested in clinical trials as a primary or secondary endpoint and tool to stratify patients. As an objective disease measure that captures a provider's perspective of disease activity and damage, the CLASI inherently does not assess disease impact on patients' QOL. Cutaneous Lupus Erythematosus Quality of Life (CLEQoL), a patient-reported measure, captures features elucidated through focus groups, including symptoms, emotions, functioning, body image, and photosensitivity. It has undergone psychometric property testing to ensure reliability and validity. Together, CLASI and CLEQoL are simple and reliable CLE-specific severity scores capturing disease activity, damage, and QOL from provider and patient perspectives.

Patient-reported disease control versus overall symptom severity as global metrics of chronic rhinosinusitis disease status.

BACKGROUND: Overall symptom severity (OSS) and patient-reported chronic rhinosinusitis (CRS) control are global measures of CRS identified as consensus, essential criteria for CRS disease control assessment. We sought to determine the functional relationship between these two metrics. METHODS: Using an international multicenter mixed-methods design, 260 CRS patients were recruited. OSS score was measured using a visual analog scale. Patient-reported CRS control was measured as "controlled," "partly controlled," and "uncontrolled." Twelve participants underwent semi-structured interviews to discuss OSS and patient-reported CRS control. RESULTS: The majority of interviewed participants felt OSS and patient-reported CRS control measured different constructs-while OSS only measured symptoms, patient-reported CRS control was more global, including not only symptom severity but also concepts such as medication usage, activity impairment, and exacerbations. Nevertheless, OSS score was strongly correlated with (ρ = 0.67, p < 0.001) and highly predictive of patient-reported CRS control. OSS score of >4 (95% confidence interval [CI]: 1.8-4.2) had 74.7% sensitivity and 93.2% specificity in identifying patients reporting their CRS as not controlled. OSS score of >6.6 (95% CI: 4.1-7.1) had 77.0% sensitivity and 75.9% specificity in identifying patients reporting their CRS as uncontrolled. The 22-item Sinonasal Outcome Test score was also predictive of patient-reported CRS disease control but OSS was significantly more predictive. CONCLUSIONS: Patients conceptually view patient-reported CRS control as a more global measure that subsumes OSS. Quantitatively, however, OSS is highly correlated with patient-reported CRS control, possibly reflecting their redundancy. For ease of use, we recommend patient-reported CRS control be reflected by OSS <4 for controlled, 4 ≤ OSS < 7 for partly controlled, and OSS ≥7 for uncontrolled CRS.

Impact of MAOA Gene Polymorphism on the Efficacy of Antidepressant Treatment and Craving Severity for Betel Quid Use Disorder.

Betel quid (BQ) use disorder (BUD) is prevalent in many Asian countries, impacting approximately 600 million people. We conducted a randomized clinical trial to analyze the impact of MAOA genetic variations on the severity of BQ craving. This was measured using DSM-5 criteria and the Yale-Brown Obsessive-Compulsive Scale modified for betel quid use (Y-BOCS-BQ). Participants were grouped according to the severity of BUD and MAOA gene single-nucleotide polymorphism (SNP) rs5953210 genotypes. The Y-BOCS-BQ scores were assessed at baseline (week 0) and during follow-up at weeks 2, 4, 6, and 8. The AA genotype group showed significantly greater reductions in Y-BOCS-BQ at weeks 2 (p = 0.0194), 4 (p = 0.0078), 6 (p = 0.0277), and 8 (p = 0.0376) compared to the GG genotype group. Additionally, within the antidepressant group, the AA genotype showed significant reductions in the Y-BOCS-BQ scores at weeks 2 (p = 0.0313), 4 (p = 0.0134), 6 (p = 0.0061), and 8 (p = 0.0241) compared to the GG genotype. The statistical analysis revealed a significant interaction between the treatment and placebo groups based on MAOA genotypes, with the AA genotype in the treatment group exhibiting a more pronounced decrease in Y-BOCS-BQ score (p interaction <0.05) at week 6. Our study highlights the importance of considering genetic factors when developing personalized treatment plans for BUD.

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.

More severe comorbidities, advanced age, and incomplete vaccination increase the risk of COVID-19 mortality.

Numerous studies have stated that comorbidities are risk factors for coronavirus disease 2019 (COVID-19) mortality, but few have considered the severity or stage of these comorbidities. The aim of this study was to determine the association between the severity of comorbidity, age, and number of COVID-19 vaccinations with COVID-19 mortality. This case-control study was conducted from July 2021 until December 2022 at the Dr. Soetomo General Academic Hospital, Surabaya, Indonesia. The patients were divided into non-survived patients (case group) and survived patients (control group). The inclusion criteria for cases were adult patients hospitalized with confirmed COVID-19, based on reverse transcriptase-polymerase chain reaction (RT-PCR) testing of nasopharyngeal swabs. Using total sampling, 1,046 confirmed COVID-19 patients, which consisted of 450 (43%) non-survived patients and 596 (57%) survived patients, were included. The most common comorbidity was diabetes mellitus (DM) (82.7%), chronic kidney disease (CKD) (43%), hypertension (25.7%), and obesity (23.6%). Our multivariate analysis indicated that older age (aOR: 1.03; 95%CI: 1.02-1.04, p<0.001), male sex (aOR: 1.29; 95%CI: 1.11- 2.00, p=0.007), severe COVID-19 at first admission (aOR: 3.13; 95%CI: 2.08-4.73, p<0.001), having pneumonia (aOR: 1.99; 95%CI: 1.21-3.33, p=0.005), poorly controlled DM with HbA1c≥9% (aOR: 2.90; 95%CI: 1.72-4.89, p<0.001), severe obesity with body mass index (BMI)≥30 (OR: 2.90; 95%CI: 1.72-4.89, p<0.001), hypertension stage 2 (aOR: 1.99; 95%CI: 1.12-3.53, p=0.019) or stage 3 (aOR: 6.59; 95%CI: 2.39-18.17, p<0.001), CKD stage 3 (aOR: 2.50; 95%CI: 1.36-4.59, p=0.003), stage 4 (aOR: 5.47; 95%CI: 2.18-13.69, p<0.001) or stage 5 (aOR: 1.71; 95%CI: 1.04-2.81, p=0.036), and having chronic lung disease (aOR: 3.08; 95%CI: 1.22-7.77, p=0.017) significantly increased the risk of COVID-19 mortality. In contrast, COVID-19 vaccination reduced the risk of COVID-19-associated death. This study highlights that more severe comorbidities, advanced age, and incomplete vaccination were associated with COVID-19 mortality.

Prognostic value of PGI score compared to poison severity score (PSS) and simplified acute physiology score (SAPS) II as predictors of mortality and other adverse outcomes in acute poisoning with aluminum phosphide.

Aluminum phosphide (AlP) poisoning is a life-threatening emergency prevalent in the Middle East region including Egypt. Early prediction of prognosis is critical for initiating the utmost intensive interventions. Though many scoring systems were studied for predicting the prognosis of AlP poisoning, these scores received wide criticism. Complexity and reliability were the main concerns. Therefore, this retrospective cross-sectional study aimed to evaluate the performance of the recently introduced PGI score as a predictor of case fatality, the need for mechanical ventilation and vasopressor therapy in acute AlP poisoning. Moreover, it compares the performance of PGI with the known poison severity score (PSS), and the simplified acute physiology score (SAPS) II. Among 144 exposed patients, we reported a mortality rate of 61.1%. Non-survivors exhibited significantly higher PGI, PSS, and SAPS II than survivors. Though the PGI, PSS, and SAPS II proved their significance as predictors of mortality and, the need for MV and vasopressors, the PGI score showed a significantly higher area under the curve (AUC) as a predictor of MV (AUC = 0.848) compared to PSS (AUC = 0.731) and SAPS II (AUC = 0.749). Additively, PGI of 2 or more was a significant predictor of mortality (AUC = 0.831, sensitivity = 65.9%, and specificity = 89.3 %) and MV (p < 0.001), while PGI of 1 or more was another predictor of vasopressor need (AUC = 0.881, sensitivity = 89.0% and specificity = 79.4%). Given the PGI score's high AUCs across all outcomes, coupled with its balanced sensitivity and specificity, the PGI score could be a simple, and robust tool replacing the PSS and SAPS II for predicting mortality, clinical decision-making including the need for MV and vasopressor therapy in acute AlP exposure. Adopting the PGI score seems substantially useful in managing acute AlP poisoning, notably in resource-restricted countries.

Clinical characteristics and severity markers in hospitalized COVID-19 patients from western Mexico: a comparative analysis of Delta and Omicron variants.

Introduction: COVID-19 is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a virus notable for its rapid mutation rate, which has led to the emergence of various variants such as Delta and Omicron, each with potentially different levels of transmissibility and virulence. Therefore, this study aims to compare clinical charactheristics and markers associated with the severity of COVID-19 in hospitalized patients from western Mexico who were infected with the Delta and Omicron variants of SARS-CoV-2. Methods: This cross-sectional study involved 66 patients hospitalized for COVID-19, diagnosed by RT-qPCR. SARS-CoV-2 variants were identified through whole genome sequencing using the COVIDseq platform from Illumina. Upon admission, patients underwent a clinical history assessment, blood gas analysis, and blood biometry. Additionally, several tests and markers were measured, including the percentage of neutralizing antibodies, erythrocyte sedimentation rate (ESR), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNFα), D-dimer, lactate dehydrogenase (LDH), C-reactive protein (CRP), and ferritin. Results and discussion: Patients hospitalized with the Omicron were found to be older, compared to those infected with the Delta (64 vs. 54 years, p = 0.006). Additionally, a higher proportion of male patients were observed in the Omicron compared to the Delta (p = 0.029). Both Omicron and Delta variants were associated with lymphopenia, although the lymphocyte count was lower in Omicron (0.9 vs. 0.56 10x3/L; p = 0.007). The COVID-GRAM scale indicated a high risk for severe disease in both groups, but the score was higher in Omicron compared to Delta (157 vs. 128 points; p = 0.0004). Patients infected with Omicron exhibited a lower percentage of neutralizing antibodies than those with Delta (35.99 vs. 81%; p < 0.05), regardless of their vaccination status. Among the markers assessed, globular ESR was found to be lower in Omicron compared to Delta (30.5 vs. 41.5 mm/h; p = 0.001), while ferritin levels were higher in patients infected with the Omicron (1,359 vs. 960.6 µg/L; p = 0.007). In patients with severe COVID-19, markers such as lymphopenia, neutralizing antibody levels, ferritin, and COVID-GRAM scores are elevated in the Omicron variant, while only the leukocyte count and ESR for the Delta variant.

Metamizole outperforms meloxicam in sepsis: insights on analgesics, survival and immunomodulation in the peritoneal contamination and infection sepsis model.

Background: Limited availability and side effects of opioids have led to an increased use of non-opioid analgesia in animal disease models. However, by affecting the immune-inflammatory reactions, analgesia may disrupt the resolution of the host inflammation and modulate the survival in septic animals. This study used a clinically relevant sepsis mouse model of peritoneal contamination and infection (PCI) to investigate the antinociceptive and anti-inflammatory properties of two non-opioid analgesics. Methods: Adult C57BL/6J mice were intraperitoneally injected with a human feces suspension and received either no analgesics (Non-A), Meloxicam, or Metamizole orally. The mice were monitored for pain and illness. Mortality was assessed at 7 days post-PCI. A separate group of mice was sacrificed 24 hours after infection. Blood, peritoneal lavage fluid (PLF), liver, and spleen were harvested for pathogen load quantification via qPCR, macrophage phenotyping, neutrophil infiltration/activation, and systemic/tissue cytokine release by flow cytometry. Results: Meloxicam but not Metamizole reduced the mortality of septic mice by 31% on day 7 compared to the Non-A group. Both analgesics effectively alleviated pain but did not affect illness severity, body weight, and temperature. Meloxicam quadrupled the bacterial burden in the blood and PLF. In high IL-6 responders, Meloxicam treatment was associated with reduced circulating IL-10 and IL-1ß compared to the Non-A septic group. In low IL-6 responders, Meloxicam increased circulating MCP-1 levels and decreased PGE2 levels compared to Non-A septic mice. Notably, Meloxicam reduced spleen neutrophil infiltration by 20% compared to two other sepsis groups. Conclusion: Metamizole and Meloxicam effectively relieved pain and increased the animals' basal activity in the PCI sepsis model. Meloxicam prolonged survival yet triggered maladaptive responses due to its immunosuppressive features that decreased tissue bacterial clearance during sepsis. In contrast, Metamizole constitutes a safe and effective non-opioid alternative for analgesic control in the non-surgical PCI sepsis model.

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.

Quantifying Vagus Nerve Stimulation Outcomes in Multifocal Refractory Epilepsy: A Model Across Multiple Surgeries.

Objective This study aims to develop a quantifiable model for evaluating the outcomes of vagus nerve stimulation (VNS) in patients with multifocal refractory epilepsy, particularly focusing on those who have undergone multiple surgeries. By adopting a patient-centered approach, the study seeks to provide a robust framework for assessing VNS efficacy across various patient demographics, including both adult and pediatric patients, and those with impaired cognitive and communicative abilities. Methods We conducted a retrospective analysis of 49 patients with multifocal refractory epilepsy who underwent at least one VNS surgery. The cohort was divided into two groups: adults (≥16 years) and a combined pediatric group that included patients under 16 years of age and patients with impaired cognitive and communicative skills. The Liverpool Seizure Severity Scale (LSSS) was used for adults, while the Hague Seizure Severity Scale (HASS) was employed for the pediatric group. Key outcome measures, including changes in seizure frequency, quality of life (QoL), number of hospitalizations, and other clinical metrics, were quantified using our proposed model. The iterative use of the mentioned scales was also assessed for validity by comparison with the Engel Outcome Scale (EOS). A total of 96 procedures were assessed. Results The results indicated a significant reduction in seizure severity post-surgery across both groups, as quantified by the LSSS for adults and HASS for pediatric and cognitively impaired patients. The model also demonstrated a consistent decrease in seizure frequency and an improvement in QoL metrics over successive surgeries. Minimal major side effects were reported, supporting the effectiveness of our quantification approach in capturing VNS outcomes. Conclusions This study introduces a novel, quantifiable model for evaluating VNS outcomes, providing a comprehensive tool for clinicians to assess the effectiveness of VNS in managing multifocal refractory epilepsy. By integrating multiple outcome measures into a cohesive framework, our model can aid in better understanding VNS therapy's impact and contribute to more informed clinical practice.

Association among biomarkers, phenotypes, and motor milestones in Chinese patients with 5q spinal muscular atrophy types 1-3.

Background: Biomarkers can be used to assess the severity of spinal muscular atrophy (5q SMA; SMA). Despite their potential, the relationship between biomarkers and clinical outcomes in SMA remains underexplored. This study aimed to assess the association among biomarkers, phenotypes, and motor milestones in Chinese patients diagnosed with SMA. Methods: We collected retrospective clinical and follow-up data of disease-modifying therapy (DMT)-naïve patients with SMA at our center from 2019 to 2021. Four biomarkers were included: survival motor neuron 2 (SMN2) copies, neuronal apoptosis inhibitory protein (NAIP) copies, full-length SMN2 (fl-SMN2), and F-actin bundling protein plastin 3 (PLS3) transcript levels. Data were analyzed and stratified according to SMA subtype. Results: Of the 123 patients, 30 were diagnosed with Type 1 (24.3%), 56 with Type 2 (45.5%), and 37 with Type 3 (30.1%). The mortality rate for Type 1 was 50%, with median survival times of 2 and 8 months for types 1a and 1b, respectively. All four biomarkers were correlated with disease severity. Notably, fl-SMN2 transcript levels increased with SMN2 copies and were higher in Type 2b than those in Type 2a (p = 0.028). Motor milestone deterioration was correlated with SMN2 copies, NAIP copies, and fl-SMN2 levels, while PLS3 levels were correlated with standing and walking function. Discussion: Our findings suggest that SMN2 copies contribute to survival and that fl-SMN2 may serve as a valuable biomarker for phenotypic variability in SMA Type 2 subtypes. These insights can guide future research and clinical management of SMA.

An early scoring system to predict mechanical ventilation for botulism: a single-center-based study.

BACKGROUND: Early identification of patients requiring ventilator support will be beneficial for the outcomes of botulism. The present study aimed to establish a new scoring system to predict mechanical ventilation (MV) for botulism patients. METHODS: A single-center retrospective study was conducted to identify risk factors associated with MV in botulism patients from 2007 to 2022. Univariate analysis and multivariate logistic regression analysis were used to screen out risk factors for constructing a prognostic scoring system. The area under the receiver operating characteristic (ROC) curve was calculated. RESULTS: A total of 153 patients with botulism (66 males and 87 females, with an average age of 43 years) were included. Of these, 49 patients (32.0%) required MV, including 21 (13.7%) with invasive ventilation and 28 (18.3%) with non-invasive ventilation. Multivariate analysis revealed that botulinum toxin type, pneumonia, incubation period, degree of hypoxia, and severity of muscle involvement were independent risk factors for MV. These risk factors were incorporated into a multivariate logistic regression analysis to establish a prognostic scoring system. Each risk factor was scored by allocating a weight based on its regression coefficient and rounded to whole numbers for practical utilization ([botulinum toxin type A: 1], [pneumonia: 2], [incubation period ≤1 day: 2], [hypoxia <90%: 2], [severity of muscle involvement: grade II, 3; grade III, 7; grade IV, 11]). The scoring system achieved an area under the ROC curve of 0.82 (95% CI 0.75-0.89, P<0.001). At the optimal threshold of 9, the scoring system achieved a sensitivity of 83.7% and a specificity of 70.2%. CONCLUSION: Our study identified botulinum toxin type, pneumonia, incubation period, degree of hypoxia, and severity of muscle involvement as independent risk factors for MV in botulism patients. A score ≥9 in our scoring system is associated with a higher likelihood of requiring MV in botulism patients. This scoring system needs to be validated externally before it can be applied in clinical settings.

Assessment of the Carpal Tunnel Syndrome in Female Patients With Hypothyroidism.

Introduction: Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy. There are several factors that influence the severity of CTS. The purpose of this study was to explore the severity of CTS in hypothyroid patients. Methods: This cross-sectional study was conducted in the university clinic. Seventy-six participants with a clinically and electrophysiological confirmed diagnosis of CTS were included in the study. The demographic data and severity of CTS were analyzed based on the presence (n=38) or the absence (n=38) of primary hypothyroid disease. Thirty-eight hypothyroid patients who were being treated were included in this study. For the assessment of the severity of CTS, the Boston questionnaire (BCTQ) and electrodiagnostic tests were used. For data analysis, an independent sample t-test and chi-squared test were carried out. A P<0.05 was considered significant. Results: The mean age of hypothyroid and non-hypothyroid CTS patients was 46.21±7.22 and 44.24±8.02 years, respectively. Body mass index (BMI) was >30 kg/m2 in both groups. There was no significant difference in demographic data among the two groups. The mean score of symptom severity in hypothyroid and non-hypothyroid-CTS patients were 30.37±10.84 and 35.89±7.19, and also functional status was 21.71±9.04 and 25.92±6.62, respectively. There was a significant difference between the two groups, in terms of symptom severity scale (P=0.017, 95% CI, 31.14%, 35.48%) and functional status scale (P=0.023, 95% CI, 21.95%, 25.67%). In terms of electrophysiological findings, there was no statistically significant difference between these two groups. Conclusion: The results of this study indicated that, contrary to expectation, the severity of CTS is higher in non-hypothyroid patients than in hypothyroid patients.

The relationship between IFN-γ, IL-10, IL-6 cytokines, and severity of the condition with serum zinc and Fe in children infected with Mycoplasma pneumoniae.

Objective: To explore the relationship between cytokines such as interferon γ (IFN-γ), interleukin-10 (IL-10), and interleukin-6 (IL-6), as well as the severity of the condition, and serum zinc (Zn) and Fe levels in children with Mycoplasma pneumoniae infection. Methods: A simple random sampling method was used to select 108 children with Mycoplasma pneumoniae infection admitted to the hospital from January to December 2022 as the study subjects. Collect demographic data such as gender, age, and course of disease from all patients, as well as inflammatory cytokines (InCs) such as IFN-γ, IL-10, and IL-6, the severity of the condition, and serum trace element information such as Zn, Fe, calcium (Ca), and potassium (K) from all patients. Spearman correlation analysis was used to examine the relationship between IFN-γ, IL-10, IL-6, severity of illness, and Zn, Fe, Ca, K in children infected with Mycoplasma pneumoniae. Additionally, receiver operating characteristic (ROC) curve analysis was used to test the predictive efficacy of Zn, Fe, Ca, and K on the severity of the patient's condition. Results: This study included 108 children infected with Mycoplasma pneumoniae, of whom 6 had clinical data missing >10% and were all excluded. Finally, 102 complete clinical data were collected, with a data recovery efficiency of 94.44%. The differences in IFN-γ, IL-10, IL-6 levels, severity of the condition, as well as Zn, Fe, Ca, K levels among children of different ages, disease courses, body mass, and body temperature showed P < 0. 05. Spearman correlation analysis showed that the levels of IFN-γ, IL-10, IL-6, and severity of the condition in children with Mycoplasma pneumoniae infection were negatively correlated with Zn, Fe, Ca, and K (ρ = -0.319 to -0.827, P < 0.05). The ROC curve analysis results indicate that Zn, Fe, Ca, and K can all be used as indicators to predict the severity of the patient's condition (AUC = 0.710-0.759, P < 0.05). Conclusion: There is a close relationship between InCs and the severity of the condition in children with Mycoplasma pneumoniae and serum trace elements. Therefore, clinical attention should be paid to monitoring the serum trace element levels of children, and reasonable measures should be taken to regulate them to accelerate the progress of disease treatment.

Effectiveness of preoperative micronized purified flavonoid fraction treatment and sucralfate-based rectal ointment on hemorrhoidal disease: A case-matched analysis.

BACKGROUND: Hemorrhoidal disease (HD) significantly impacts patients' quality of life. This study aimed to evaluate the effectiveness of preoperative treatment with the micronized purified flavonoid fraction (MPFF) and a sucralfate-based rectal ointment in managing HD symptoms and reducing interventions. METHODS: A prospective quasi-experimental study including consecutive cases and controls matched on the basis of sex was performed in a tertiary referral center. Cases received systemic and local therapy for HD, consisting of a rectal ointment containing 3% sucralfate and herbal extracts plus MPFF, in addition to conservative therapy, while controls received conservative therapy alone. The hemorrhoidal disease symptom score (HDSS), the Short Health Scale for HD (SHS-HD) score, and the Vaizey Incontinence Score were used to evaluate symptoms severity and their impact on quality of life and continence. Intervention requirements were assessed at baseline (T0) and after 60 days of treatment (T1). RESULTS: Between January and December 2023, a total of 98 patients were assessed for eligibility. After exclusions, 56 patients were enrolled, with 28 in each group. Significant improvements were observed in HD symptom scores from T0 to T1: the intervention group showed a mean change in HDSS of -9 [95% confidence interval (CI) -10 to -8], and the control group showed no significant change (mean change of 0; 95% CI -1.5 to 0). At T1, a higher proportion of patients in the intervention group underwent less invasive interventions compared with controls (18% versus 11%). Age, treatment group, and baseline symptom severity significantly predicted post-treatment symptom scores. CONCLUSIONS: In our study the preoperative treatment with MPFF and a sucralfate-based rectal ointment demonstrated clinical benefits in managing HD symptoms and reducing interventions. Further prospective trials are warranted to confirm and explore additional therapeutic strategies.

Trends in orbital cellulitis severity and management: 2016 through 2022.

PURPOSE: To characterize trends in orbital cellulitis (OC) severity and management from 2016 through 2022, including assessment of effects from the COVID-19 pandemic. METHODS: A retrospective chart review was conducted at a tertiary care center using an electronic medical record search of OC from January 1 2016 to January 1 2023. Radiography was used to categorize patients into three cohorts - OC without abscess, OC with subperiosteal abscess (SPA), and OC with orbital abscess (OA). Infection cohort and age group [pediatric (<9 years old), adolescent (9-18 years), adult (>18 years)] were compared across years. Subgroup analysis was performed in the SPA cohort. Comparisons were made between the time periods prior to and after the start of the COVID-19 pandemic. RESULTS: From 2016-2022, there were 247 (67.3%) cases of OC, 103 (28.1%) SPA, and 17 (4.6%) OA. The year 2022 incurred higher rates of SPA and OA (p = 0.035), pediatric infections (p = 0.008), and co-morbid sinusitis (p = 0.005) compared to all preceding years. Rates were similar from 2016 through 2021. Within the SPA cohort, rates of surgical intervention and outcomes were similar across all years. Rate of abscess formation was significantly higher during the COVID-19 pandemic compared to the pre-pandemic era (p = 0.033). CONCLUSION: The severity of OC leading up to the COVID-19 pandemic appeared steady. After pandemic onset, a delayed increase in abscess formation, predominantly affecting pediatric patients and correlating with a greater rate of sinusitis, was observed in 2022.

Is orthorexia nervosa a hidden threat impacting quality of life in IBS patients?

BACKGROUNDS: The potential link between functional gastrointestinal disorders and eating disorders has been reported recently. AIMS: The present study aimed to explore the relationship between orthorexic tendencies and irritable bowel syndrome (IBS)-related quality of life in IBS patients. METHOD: This cross-sectional study was conducted with 121 IBS patients. The data were collected using Orthorexia Nervosa-11 (ORTO-11) to assess orthorexic tendencies, Irritable Bowel Syndrome Quality of Life Scale (IBS-QoL) to measure quality of life, and Irritable Bowel Syndrome Symptom Severity Score (IBS-SSS) to measure IBS symptoms. Food consumption record was taken to assess diet quality with the Healthy Eating Index 2015 (HEI-2015). The relationship between measured variables was assessed. RESULTS: The mean ORTO-11 score of the patients was 24.76 ± 3.99. Most patients had poor diet quality (52.00%). A moderate positive correlation was found between ORTO-11 and IBS-QoL (model 0, p < 0.005 and model 1, p < 0.001) and a strong negative correlation between IBS-SSS and IBS-QoL (p < 0.001). CONCLUSIONS: In conclusion, we can conclude that both altered IBS symptoms and orthorexic tendencies affect the quality of life of irritable bowel patients independently of each other. These findings provide valuable insights into the treatment of IBS and inform clinicians and researchers in the fields of gastroenterology, nutrition, psychiatry,and psychology.

Association between initial diquat plasma concentration, severity index and in-hospital mortality in patients with acute diquat poisoning: a retrospective cohort study.

BACKGROUND: Since 2016, diquat has replaced paraquat in China, resulting in increased diquat poisoning cases. However, understanding of diquat poisoning is still limited. This study aimed to investigate the relationship between initial diquat plasma concentration, severity index, and in-hospital mortality in acute diquat poisoning cases. METHODS: This retrospective cohort study, conducted from January 2016 to July 2023 in a tertiary care hospital, used univariate logistic regression to examine the link between the initial diquat plasma concentration, severity index, and in-hospital mortality in acute diquat poisoned patients. A receiver operating characteristic curve assessed the predictive value of these parameters for prognosis. RESULTS: Among the 87 participants, the median age was 32 years, 35 (40.2%) were female. The overall mortality rate was 37.9%. Logistic regression analysis revealed that the initial diquat plasma concentration and severity index were associated with increased in-hospital mortality. These factors also effectively predicted the prognosis of acute diquat poisoning, with an area under the receiver operating characteristic curve of 0.851 and an optimal diquat concentration threshold of 2.25 mg/L (sensitivity 90.9%, specificity 74.1%, P < 0.05) and an area under the receiver operating characteristic curve of 0.845 with an optimal cut-off value for the sevity index of 9.1 mg/L*min (sensitivity 97%, specificity 74.1%, P < 0.05). DISCUSSION: Our results are limited by the retrospective design of this study. However, if validated, these results could impact management strategies, especially in East Asia. Further research is needed due to potential confounding factors. CONCLUSIONS: The findings suggest that a higher initial plasma concentration and severity index in patients with acute diquat poisoning were correlated with higher in-hospital mortality. Prospective validation will confirm the predicative value of these findings.

Integrating machine learning for enhanced wildfire severity prediction: A study in the Upper Colorado River basin.

Wildfires pose significant threats worldwide, requiring accurate prediction for mitigation. This study uses machine learning techniques to forecast wildfire severity in the Upper Colorado River basin. Datasets from 1984 to 2019 and key indicators like weather conditions and land use were employed. Random Forest outperformed Artificial Neural Network, achieving 72 % accuracy. Influential predictors include air temperature, vapor pressure deficit, NDVI, and fuel moisture. Solar radiation, SPEI, precipitation, and evapotranspiration also contribute significantly. Validation against actual severities from 2016 to 2019 showed mean prediction errors of 11.2 %, affirming the model's reliability. These results highlight the efficacy of machine learning in understanding wildfire severity, especially in vulnerable regions.