Laboratory Data Research Articles

ENCoDE - a skin tone and clinical dataset from a prospective trial on acute care patients.

Although hypothesized to be the root cause of the pulse oximetry disparities, skin tone and its use for improving medical therapies have yet to be extensively studied. Studies previously used self-reported race as a proxy variable for skin tone. However, this approach cannot account for skin tone variability within race groups and also risks the potential to be confounded by other non-biological factors when modeling data. Therefore, to better evaluate health disparities associated with pulse oximetry, this study aimed to create a unique baseline dataset that included skin tone and electronic health record (EHR) data. Patients admitted to Duke University Hospital were eligible if they had at least one pulse oximetry value recorded within 5 minutes before an arterial blood gas (ABG) value. We collected skin tone data at 16 different body locations using multiple devices, including administered visual scales, colorimetric, spectrophotometric, and photography via mobile phone cameras. All patients' data were linked in Duke's Protected Analytics Computational Environment (PACE), converted into a common data model, and then de-identified before publication in PhysioNet. Skin tone data were collected from 128 patients. We assessed 167 features per skin location on each patient. We also collected over 2000 images from mobile phones measured in the same controlled environment. Skin tone data are linked with patients' EHR data, such as laboratory data, vital sign recordings, and demographic information. Measuring different aspects of skin tone for each of the sixteen body locations and linking them with patients' EHR data could assist in the development of a more equitable AI model to combat disparities in healthcare associated with skin tone. A common data model format enables easy data federation with similar data from other sources, facilitating multicenter research on skin tone in healthcare. A prospectively collected EHR-linked skin tone measurements database in a common data model with emphasis on pulse oximetry disparities.

The diagnostic cascade for patients with hepatitis delta infection in France, 2018-2022: A cross-sectional study.

Chronic hepatitis D infection is the most severe form of viral hepatitis and can rapidly progress to cirrhosis or hepatocellular carcinoma. Despite recommendations for systematic screening of hepatitis B surface antigen (HBsAg)-positive individuals, data from real-world studies have reported a low frequency of hepatitis D (or delta) virus (HDV) screening. Our cross-sectional analysis evaluated the diagnostic cascade for hepatitis D infection in tertiary centres and described the characteristics of HDV-positive patients. A total of 6772 individuals who tested HBsAg positive for the first time between 2018 and 2022 were retrospectively included. Demographic, clinical and laboratory data were analysed. A total of 5748 HBsAg-positive individuals (84.9%) were screened for HDV infection. The screening rate varied from 63% to 97% according to the screening strategy used in the centres including or not HDV reflex testing. The prevalence of HDV infection was 6.3%. HDV RNA levels were determined in 285 of the 364 (78.3%) HDV antibody screening-positive patients, and 167 (58.6%) had active HDV infection. 66.8% were males, with a mean age of 44.9 years. A total of 97.5% were born abroad, and 92.9% were HBeAg negative. At the time of diagnosis, HDV RNA levels were 6.0 Log UI/mL; 60.1% had alanine aminotransferase >40 U/L, and 56.3% had significant fibrosis (≥F2), including 41.6% with cirrhosis. The most common genotype was HDV-1 (75.4%). Coinfections were not uncommon: 7.4% were HIV positive, and 15.0% were HCV antibody positive. The present study highlights the need for increased screening and monitoring of HDV infection. Reflex testing helps to identify HDV-infected individuals.

Leveraging Electronic Health Records to Predict the Risk of Acute Kidney Injury after Allogeneic Hematopoietic Cell Transplantation.

The objective of this study is to assess the electronic health records (EHRs), which are potential risk factors for acute kidney injury (AKI) after allogenic hematopoietic cell transplantation (allo-HCT), and to propose a basic dataset and score for the calculation of HCT-acute kidney injury risk (HCT-AKIR). We undertook a retrospective analysis of the EHRs of 312 patients. Pre- and post-transplant factors were assessed, recognizing the following structured entries: laboratory data, encounters, medication, imaging studies, diagnoses, and procedures. Composite variables were used to create patient groups by combining two or more multivariate significant risk factors for AKI. The EHRs dataset and HCT-AKIR score were created based on the multivariate analysis of the composite variables. A multivariate analysis showed that previous CKD and once-impaired pre-transplant kidney function, sepsis, imaging procedures with contrast media, and cumulative length of intensive care unit stay after transplantation were significant risk factors. A new unit-weighted composite score based on the combination of significant risk factors contained in common EHR resources was proposed. Using our novel HCT-AKIR score calculated from the basic EHR dataset could be an easy way to increase awareness of post-transplant AKI and provide risk stratification.

The impact of social deprivation on development and progression of diabetic kidney disease

Introduction Diabetes is one of the leading causes of chronic kidney disease. Social deprivation is recognised as a risk factor for complications of diabetes, including diabetic kidney disease. The effect of deprivation on rate of decline in renal function has not been explored in the Irish Health System to date. The objective of this study is to explore the association between social deprivation and the development/progression of diabetic kidney disease in a cohort of adults living with diabetes in Ireland. Methods This is a retrospective cohort study using an existing dataset of people living with diabetes who attended the diabetes centre at University Hospital Galway from 2012 to 2016. The variables included in this dataset include demographic variables, type and duration of diabetes, clinical variables such as medication use, blood pressure and BMI and laboratory data including creatinine, urine albumin to creatinine to ratio, haemoglobin A1c and lipids. This dataset will be updated with laboratory data until January 2023. Individual’s addresses will be used to calculate deprivation indices using the Pobal Haase Pratschke (HP) deprivation index. Rate of renal function decline will be calculated using linear mixed-effect models. The relationship between deprivation and renal function will be assessed using linear regression (absolute and relative rate of renal function decline based on eGFR) and logistic regression models (rapid vs. non-rapid decline).

Automated Fibrosis-4 Index: Simplifying Non-Alcoholic Fatty Liver Disease for Diabetologists.

Background and Objectives: Patients with type 2 diabetes (T2D) have a high prevalence of non-alcoholic fatty liver disease (NAFLD) (55%) and are at increased risk for developing non-alcoholic steatohepatitis, a severe form of NAFLD. Early detection of advanced fibrosis in patients with T2D and NAFLD is crucial and can prevent progression to chronic liver disease, cirrhosis, and hepatocellular carcinoma. However, screening for liver disease and risk-stratification pathways are not established in patients with T2D. We evaluated the efficacy of using the automated fibrosis-4 (FIB-4) index in routine clinical settings to identify patients requiring further specialist evaluation. Materials and Methods: In this prospective cohort study, individuals diagnosed with T2D were recruited from diabetes clinics at a tertiary university hospital. Demographic, clinical, and laboratory data were comprehensively collected. The FIB-4 index was automatically calculated and integrated into the hospital's electronic medical records (EMRs), which were then stratified by age. Patients with advanced fibrosis (FIB-4 index ≥ 1.3) were referred to a specialist. Student's t-test or the Mann-Whitney U test was used to analyze variables associated with advanced fibrosis. Logistic regression was used to identify predictors of advanced fibrosis. Results: Among the 318 patients with T2D, 9.7% had advanced fibrosis. The majority were females (54.7%) and Saudi nationals (89.6%). Several factors, including age, platelet count, total bilirubin, serum albumin, total cholesterol, low-density lipoprotein, transaminases, and gamma-glutamyl transferase (GGT), showed significant associations with advanced fibrosis (all p < 0.05). Older age, elevated total bilirubin and GGT levels, and prolonged international normalized ratio emerged as independent predictors of advanced fibrosis. Conclusions: Integrating the FIB-4 index into the EMR during the routine care of patients with T2D proved to be a valuable tool in effectively identifying individuals at risk of advanced fibrosis. Our findings emphasize the need for further research to refine screening strategies in this high-risk population.

ANALISIS KORELASI ANTARA SUDUT SIMPANGAN DAN WAKTU RATAAN PADA BANDUL FISIS DENGAN LATIN SQUARE DESIGN

This study aims to examine the relationship between the angle of deviation and the average time length of a physical pendulum. This study uses primary data, namely practicum report data in a physics laboratory. Data collection was conducted under closed conditions with control variables (shaft length, number of oscillations, and radius of gyration) and dependent variables (angle of deviation and average time). The analysis technique used is a statistical approach technique, namely Latin Square Design analysis. The findings of this study indicate that the variables of deviation angle and average time on the physical pendulum have a strong and unidirectional correlation relationship. This result is evident from the value of F0 &gt; Fcritical and the value of Pr (&gt; P) &gt; 0, 05(significant level) where both of these prove that there is a strong reason to reject H0 which means that there is at least 1 difference in the effect of the angle of deviation on the average time. It shows that the angle of deviation affects the average time of the physical pendulum

Evaluation of 17 thermal conductivity models for frozen soil

Accurate prediction of thermal conductivity (λ) in frozen soils is essential for understanding their thermal behavior and improving thermal response analyses. Currently, there are numerous models for calculating λ, but unified laboratory data to compare and evaluate these models are lacking. This study focuses on evaluating the performance of 17 models for applied to frozen soils using a unified laboratorial dataset. The heat-pulse-probe (HPP) method was employed to measure the thermal conductivity of silty clay, sand, and sand loam. Nuclear magnetic resonance experiments were conducted to measure the unfrozen water content (θw) and ice content(θi). This provides unified laboratorial dataset of λ-θi-θw. The predictive performance of 17 models demonstrated that the model of Zhang et al. (2018), Sass et al. (1971) and Tian et al. (2016) are the three optimal models: 1). The model of Zhang et al. (2018) is the provided the best predictive performance, with mean absolute error (MAE) values of 0.17 Wm-1K-1, 0.07 Wm-1K-1, and 0.06 Wm-1K-1 for silty clay, sand and sand loam, respectively. This model is advantageous due to its simplicity and the absence of undetermined parameters. 2). The model of Sass et al. (1971) is suitable for soils with low sensitivity to frozen volume deformation, such as sand and sand loam, achieving an MAE of 0.06 Wm-1K-1. 3). The model of Tian et al. (2016) exhibited strong performance for silty clay with an MAE of 0.11 Wm-1K-1, contingent on the precise determination of soil-specific parameters. This study provides a unified laboratory data for the establishment of thermal conductivity models. The evaluation of existing models can serve as a reference for future related research.

Bioclinical features of haemophilia patients in Benin in 2023: Towards better care.

To analyse the demographic, clinical and laboratory data of Beninese patients with haemophilia. A prospective survey was conducted in three different hospitals of Benin from April 2021 to March 2022, to analyse clinical and biological features of patients with haemophilia previously diagnosed or identified based on personal/family history. A total of 101 patients were studied, 97 with haemophilia A and 4 with haemophilia B, including 26 new cases identified after family investigation. Their median age was 11 years, and the most frequent initial manifestations were cutaneous-mucosal haemorrhages (29.70%) and post-circumcision haemorrhages (25.74%). Previous joint bleedings were present in 77% of them, with an arthropathy in 65 cases, which particularly affected the knees (75%), elbows (41%) and ankles (29%). Factor VIII (FVIII) levels combined with activated partial thromboplastin time (APTT) values did not always enable, as would be expected, the distinction between severe and moderate haemophilia, since they were>1 IU/dl in 31 of 74 patients with APTT>80s, and between 1 and 2 IU/dl in 26 other cases with previous joint haemorrhages, including 18 with chronic arthropathy. Therefore, for these patients, severe haemophilia could not be excluded, and this uncertainty probably reflects technical difficulties affecting the pre-analytical and analytical stages of the APTT and FVIII/IX assays. Our study proved that haemophilia is a significant reality in Benin, but also remains under-diagnosed in some districts of the country. In addition, more reliable biological tests are needed in the future to better define the severity of the disease and improve treatment of patients.

Hospital surveillance of respiratory viruses during the COVID-19 pandemic and beyond: contribution to the WHO mosaic framework, Israel, 2020 to 2023.

BackgroundA new respiratory virus surveillance platform, based on nationwide hospital laboratory data, was established in Israel during the COVID-19 pandemic.AimWe aimed to evaluate the performance of this platform with respect to the detection of influenza and respiratory syncytial virus (RSV) from week 36 in 2020 to week 15 in 2023, and how it fits with the World Health Organization (WHO) mosaic surveillance framework.MethodsData of respiratory samples from hospitalised patients sent for laboratory confirmation of influenza virus or RSV from 25 general hospital laboratories nationwide were collected. We analysed the weekly number and percentage of samples positive for influenza virus or RSV vis-à-vis SARS-CoV-2 activity and compared data from the new surveillance platform with existing surveillance platforms. Using data in the new surveillance platform, we analysed early stages of a 2021 out-of-season RSV outbreak and evaluated the capabilities of the new surveillance system with respect to objectives and domains of the WHO mosaic framework.ResultsThe new hospital-laboratory surveillance platform captured the activity of influenza virus and RSV, provided crucial data when outpatient sentinel surveillance was not operational and supported an out-of-season RSV outbreak investigation. The new surveillance platform fulfilled important objectives in all three domains of the mosaic framework and could serve for gathering additional information to fulfil more domain objectives.ConclusionThe new hospital laboratory surveillance platform provided essential data during the COVID-19 pandemic and beyond, fulfilled important domain objectives of the mosaic framework and could be adapted for the surveillance of other viruses.

Wilson's disease in Sardinian population: The experience of a pediatric referral center.

Wilson's disease (WD) in children and adolescents is predominantly asymptomatic or oligo-symptomatic. The symptoms are nonspecific and difficult to distinguish from other hepatic or neuropsychiatric disorders. In this study, we present the experience of a pediatric referral center for WD diagnosis and treatment. We retrospectively analyzed clinical and laboratory data from 99 patients with WD of Sardinian origin, including physical examination, laboratory biochemical testing, liver biopsy, and genetic analysis. Patients were prevalently oligo-symptomatic or asymptomatic. The median age of diagnosis was 8.78 years. Ceruloplasmin values were lower than normal values in all analyzed patients. Twenty-four-hour urinary copper levels were higher than 40 μg/24-h in 92/96 patients. In all analyzed patients with the exception of one, liver copper was higher than 250 μg/g of dry weight but all had >75 μg/g of dry weight. Statistical analysis showed correlation between the age at diagnosis, serum copper, and 24-h urinary copper. Correlation was also found between serum copper and 24-h urinary copper. Molecular analysis of ATP7B gene allowed complete characterization in all the analyzed patients. A high index of clinical suspicion and biochemical tests including liver tests, serum ceruloplasmin, and basal 24-h urinary copper excretion and genotype determination are key to WD diagnosis. The long experience that a referral center for WD possesses is an important factor in making WD diagnosis a more accurate process. Studies in animal models on WD could be used as a guide to further investigate the molecular mechanisms that regulate copper metabolism and influence the natural history of WD.

Predictors of celiac disease in patients with type 1 diabetes and positive tissue transglutaminase immunoglobulin A.

Identify clinical and serologic features that more accurately predict a diagnosis of celiac disease (CD) in children with type 1 diabetes mellitus (T1DM), particularly focusing on the degree of elevation of tissue transglutaminase immunoglobulin A (TTG IgA) and dilution of positive endomysial antibody (EMA). We performed a single-center retrospective review of patients with T1DM who underwent endoscopy from 2016 to 2022 for evaluation of CD. We compared demographic, anthropometric, and laboratory data as well as symptoms and endoscopy findings for subjects with and without CD. Of 123 subjects who underwent esophagogastroduodenoscopy, 74 (60%) were diagnosed with CD. Univariate logistic regression analysis revealed the factors associated with CD were degree of TTG IgA elevation, EMA positivity, and degree of EMA dilution. For every 10-fold increase in TTG IgA, there was a 4.7× increased risk of CD. TTG IgA ≥10 times the upper limit of normal (ULN) provided a positive predictive value (PPV) of 85% (confidence interval [CI]: [0.76-92]) in all subjects and 91% in asymptomatic subjects (CI: [0.75-0.98]). Of 66 subjects with EMA data, 41 (62%) were positive and 32 had CD (PPV = 0.78). Of 12 asymptomatic subjects with positive EMA, eight had CD (PPV = 0.67). For subjects with EMA ≥ 1:80, all were diagnosed with CD, and all had TTG IgA ≥10 times the ULN. Among patients with T1DM, symptoms, adjunct labs, and anthropometrics do not help predict CD, but the degree of elevation of TTG IgA and dilution of a positive EMA result do.

Optimizing compressive strength prediction using adversarial learning and hybrid regularization

The infrastructure industry consumes natural resources and produces construction waste, which has a detrimental impact on the environment. To mitigate these adverse effects and reduce raw material consumption, waste materials can be repurposed to achieve sustainability. However, recycled materials deteriorate the intrinsic properties of concrete. A suitable ratio of natural resources and recycled aggregates can produce the desired compressive strength. Compiling sufficient data in civil engineering laboratories to make reliable conclusions is time-consuming and costly. Therefore, this research proposes a novel approach for predicting compressive strengths using limited data. The generative adversarial network was employed to generate synthetic data. Hybrid training, utilizing either conventional loss or heuristic loss, prevents the model from overfitting by adaptively adjusting the regularization term. Random noise from a multivariate normal distribution is embedded heuristically into the training samples to capture intricate data variations. Sensitivity analysis indicated that the size of recycled coarse aggregate and water are the most significant features, aligning with their correlations. Interestingly, superplasticizer, density of recycled coarse aggregate, and water absorption ratio of recycled coarse aggregate contributed significantly to predictions despite their low correlations. The propounded method outperforms random forest, support vector regression, artificial neural network, and adaptive boosting by scoring a mean squared error of 7.97, a root mean squared error of 2.82, a mean absolute error of 2.13, and a coefficient of determination of 0.96. These results suggest that the proposed technique can effectively contribute to sustainable construction practices by accurately predicting compressive strengths.

Ductal Intervention in Chronic Pancreatitis: Impact on Glycemic Control and Endocrine Insufficiency Management.

Background and aim Pancreatic endotherapy has been established as a viable and effective modality for the management of pain in chronic pancreatitis (CP). However, its impact on endocrine insufficiency has been rarely reported. In this retrospective study, we aimed to assess the impact of endotherapy on glycemic status and the management of diabetes in these patients. Methods A retrospective review of a prospectively maintained database of patients with CP with pain presenting to the King Edward Memorial Hospital and Seth Gordhandas Sunderdas Medical College, Mumbai, India, from December 2021 to May 2023 was done. Detailed clinical, laboratory, imaging, and treatment data were recorded. Endocrine dysfunction was defined as glycosylated hemoglobin (Hba1C) ≥6.5 g/dl. The status of endocrine function (Hba1C values) before and after endotherapy, as well as the requirement of oral hypoglycemic agent (OHA) and/or insulin, was recorded. Results One hundred forty-one patients underwent endoscopic retrograde cholangiopancreatography for the management of pain (mean age: 35 years, 74.5% males). Prior to endotherapy, pathological endocrine dysfunction was seen in 60 patients (42.5%). The mean HbA1c value was 8.46 g/dl (4.5-16.1g/dl). OHAs alone were used in 13/60 (21.6%), and 34/60 (56.6%) required insulin. A combination of OHA and insulin was required in 13/60 (21.6%) of patients. Post-endotherapy, none of the patients were on a combination of OHAs and insulin; 5/13 (38.4%) patients were on OHAs alone, while 8/13 (61.5%) patients were shifted to insulin. Out of the total 47 patients who required insulin, insulin could be stopped in 15/47 (31.9%) of patients. Patients who demonstrated improvement in endocrine dysfunction had significantly lower HbA1c values (6.38 vs. 8.07 g/dl, p < 0.001), a higher proportion of patients with idiopathic pancreatitis (73.3% vs. 22.2%, p = 0.004), and a lower proportion of patients with concomitant exocrine insufficiency (13.3% vs. 53.3%, p = 0.007). Conclusions One-third of the patients had improvements in endocrine dysfunction. Early ductal intervention in a selected subset of patients with CP may have the potential to improve glycemic status.

Analysis of thromboembolism and prognosis in metastatic pancreatic cancer from the Tokushukai REAl‑world data project.

Cancer-associated thromboembolism (CAT), including venous thromboembolism (VTE) and arterial thromboembolism (ATE), is a frequent complication of advanced pancreatic cancer. However, reports on its incidence and clinical outcomes, especially on ATE, are limited. The present study aimed to investigate the incidence of CAT and its effects on overall survival in patients with metastatic pancreatic cancer. As part of the Tokushukai REAl-world data project in Japan, 846 eligible patients with metastatic pancreatic cancer treated with first-line chemotherapy were identified between April 2010 and March 2020. Using diagnosis procedure combination data from these patients, the present study investigated the incidence of VTE, ATE and cerebral and gastrointestinal bleeding requiring hospitalization. Blood laboratory data were collected within 14 days of the start of first-line treatment, and Khorana scores were calculated. The associations between CAT complications and comorbidities, concomitant medications and prognosis were examined. Among the 846 patients, 21 (2.5) and 70 (8.3%) had VTE and ATE, respectively (including five with overlapping VTE and ATE). CAT-positive patients had a significantly higher rate of gastrointestinal bleeding events compared with CAT-negative patients [13 of 86 (15.2%) vs. 46 of 760 (6.1%); P=0.01]. CAT-positive patients had a poorer prognosis [hazard ratio (HR), 1.28; 95% confidence interval (CI), 1.01-1.62] compared with CAT-negative patients, even after adjusting for background factors (HR, 1.20; 95% CI, 0.95-1.52). Cox regression analyses showed that higher Khorana scores were associated with significantly worse prognosis. This real-world data demonstrated that the incidence rate of CAT in patients with metastatic pancreatic cancer was 10.2%, and no statistically significant differences were observed, although there was a trend toward an adverse prognosis. The Khorana score may also be useful for predicting prognosis, even in the absence of CAT. This study was registered in the UMIN Clinical Trial Registry (http://www.umin.ac.jp/ctr/index.htm; clinical trial no. UMIN000050590).

A rare case report: Brucellosis as an extreme cause of shoulder subluxation and rotator cuff tendinopathy

Rationale: Shoulder subluxation and rotator cuff tendinopathy is commonly associated with degeneration or trauma, and brucellosis has been reported to be correlated with shoulder subacromial bursitis, arthritis. However, brucellosis as a cause of shoulder subluxation and rotator cuff tendinopathy has never been reported in the English medical literature. Patient concerns: A 46-year-old man complained of left shoulder weakness and limited movement ongoing for 1 month. He was primarily diagnosed with shoulder subluxation and rotator cuff tear based on magnetic resonance imaging, and was advised to undergo arthroscopic rotator cuff surgical repair. Diagnoses: Although rotator cuff tear was diagnosed in another hospital, some doubts remained. First, a tendon profile with a relative high signal in T2-weighted magnetic resonance images in the supraspinatus tear area still existed. The findings were clearly different from the usual full-thickness rotator cuff tear, and no tendon profile could be found in the tear area. Second, degenerative rotator cuff tear mainly occurs in the aged population and this patient was relatively young, without a history of trauma. His left shoulder was painless but the weakness and the limited movement were extreme and all of these factors did not support the diagnosis of rotator cuff tear. Some infectious disease was suspected to be the cause and relevant laboratory tests were conducted. This patient was eventually diagnosed as having brucellosis-associated shoulder subluxation and rotator cuff tendinopathy based on positive serum standard tube agglutination test and buffer plate agglutination test for brucellosis. Interventions: Oral drug therapy with rifampicin and doxycycline was used for 8 weeks. Outcomes: A complete response with normal shoulder strength and movement was achieved at 8 weeks. At the one-year follow-up no signs of recurrence were detected. Lessons: Brucellosis-associated shoulder subluxation and rotator cuff tendinopathy may be misdiagnosed as a rotator cuff tear in magnetic resonance imaging and be further managed with indeterminate arthroscopic repair. A comprehensive understanding of the patient’s previous medical history, imaging and laboratory data and a careful physical examination are of great clinic value for the accurate diagnosis of the condition and the subsequent prognosis of the patient.

The epigenetic determinants for systemic juvenile idiopathic arthritis phenotyping and treatment response

BackgroundDetermining the role of epigenetics in systemic juvenile idiopathic arthritis (SJIA) provides an opportunity to explore previously unrecognized disease pathways and new therapeutic targets.AimWe aimed to identify the clinical significance of microRNAs (miRNA-26a, miRNA-223) in SJIA.Materials and methodsThis cross-sectional study was conducted on a group of children with SJIA attending to pediatric rheumatology clinic, at Mansoura University Children’s Hospital (MUCH) from December 2021 to November 2022. Patient demographics, and clinical, and laboratory data were collected with the measurement of microRNAs by quantitative real-time PCR. The Mann–Whitney, Kruskal–Wallis, and Spearman correlation tests were used for variable comparison and correlations, besides the receiver operating characteristic (ROC) curve for microRNAs disease activity and treatment non-response discrimination.ResultsForty patients were included in the study. On comparison of miRNA-26a, and miRNA-223 levels to the clinical, assessment measures, and laboratory features, miRNA-26a was statistically higher in cases with systemic manifestations versus those without. Similarly, it was higher in children who did not fulfill the Wallace criteria for inactive disease and the American College of Rheumatology (ACR) 70 criteria for treatment response. Meanwhile, miRNA-223 was not statistically different between cases regarding the studied parameters. The best cut-off value for systemic juvenile arthritis disease activity score-10 (sJADAS-10) and the ability of miRNA-26a, and miRNA-223 to discriminate disease activity and treatment non-response were determined by the (ROC) curve.ConclusionThe significant association of miRNA-26a with SJIA features points out that this molecule may be preferentially assessed in SJIA disease activity and treatment non-response discrimination.

On the evaluation of surface tension of biodiesel

Over time, with the increase in population and the subsequent increase in energy consumption and also due to the non-renewability of fossil fuels, the study of alternative fuels has increased. One of these fuels is biodiesel, which is a suitable alternative to fossil fuels such as diesel and received much attention from researchers today. For this reason, measuring the physical properties of biodiesel is of great importance. Due to the high cost and time-consuming nature of laboratory methods, numerical methods are used to estimate material properties. The novelty of this research was the use of two white box models, including Group method of data handling (GMDH) and Gene expression programming (GEP), which work on the basis of artificial intelligence. By using these models, two simple mathematical equations with high accuracy were presented to predict the surface tension of biodiesel. These models can be used at different temperatures and molecular weights. To do modeling, 78 laboratory data available in the literature were gathered and the data were randomly divided into two groups, train and test, in a ratio of 80 and 20. The input parameters include mass fraction of fatty acid ethyl esters and temperature (T), and esters are divided into three groups according to their molecular weight: less than 200 (Mw1), between 200 and 300 (Mw2), and greater than 300 (Mw3). The statistical error parameters were calculated for the two models developed in this research and after comparing the results, it was found that the GMDH model estimates the surface tension of biodiesel with a higher accuracy. The average absolute relative error for GMDH and GEP models was reported as 0.97 and 1.89, respectively. Also, other statistical error parameters of GMDH such as RMSE, SD, and R2 for the GMDH model were obtained as 0.444, 0.000233, and 0.9233, respectively. Moreover, sensitivity analysis showed that temperature has the highest impact on the surface tension of biodiesel, which is also an inverse effect. Finally, suspicious laboratory and outlier data points were identified using the Leverage technique. According to this analysis, only five data points were identified as outliers and suspicious laboratory data.

Serum inflammatory markers in children with Mycoplasma pneumoniae pneumonia and their predictive value for mycoplasma severity.

Mycoplasma pneumoniae pneumonia (MPP) significantly impacts pediatric health, necessitating markers for early severe disease identification. To investigate the correlation between serum inflammatory marker and the severity of MPP in children. A prospective study was carried out from January 2023 to November 2023. A total of 160 children with MPP who underwent treatment were selected: 80 had severe MPP and 80 had mild MPP. Clinical and laboratory data were collected at the time of hospital admission and during hospitalization. Receiver operating characteristic curves were utilized to assess the diagnostic and prognostic for severe MPP. Fever duration and length of hospitalization in pediatric patients with severe MPP exceeded those with mild MPP. The incidence of pleural effusion, lung consolidation, and bronchopneumonia on imaging was markedly elevated in the severe MPP cohort compared to the mild MPP cohort. In contrast to the mild cohort, there was a notable increase in C-reactive protein (CRP), procalcitonin (PCT), erythrocyte sedimentation rate, lactic dehydrogenase, D-dimer, and inflammatory cytokines [interleukin (IL)-6, IL-8, IL-10 and tumor necrosis factor (TNF)-α] in the severe MPP group were significantly higher. Serum inflammatory markers (CRP, PCT, IL-6, D-dimer, IL-10 and TNF-α) were considered as predictors in children with severe MPP.

Preoperative chemotherapy with Gemcitabine for pancreatic cancer causes zinc deficiency.

The aim of this study was to investigate how preoperative chemotherapy affected the serum zinc concentrations in patients with pancreatic cancer (PC). Two hundreds and thirty-one patients with PC who underwent pancreatectomy at our department from 2013 to 2019 were enrolled in this study and measured for the serum zinc concentrations before pancreatectomy. Patient characteristics, course of treatment, and laboratory data were analyzed. One hundred thirty-five patients underwent upfront pancreatectomy and 58 received preoperative Gemcitabine + S1 (GEM + S1) and 29 received Gemcitabine + nab-Paclitaxel (GEM + nab-PTX). Comparing the serum zinc concentrations before and after preoperative treatment, it was found to decrease after treatment with statistical difference (79.3 μg/dl vs. 68.7 μg/dl, p < 0.001). The result was consistent with the investigation for both the patients who received GEM + S1 and those who received GEM + nab-PTX (p = 0.019, p < 0.001, respectively). The preoperative chemotherapy consistently reduced the serum zinc concentrations in the PC patients, regardless of their regimen such as GEM + S1 and GEM + nab-PTX. Monitoring the serum zinc concentration and appropriate zinc supplementation may be essential for PC patients undergoing preoperative chemotherapy and pancreatectomy.

Perioperative bleeding control in total hip arthroplasty: hemostatic powder vs. tranexamic acid-a prospective randomized controlled trial.

Perioperative bleeding in total hip arthroplasty (THA) can lead to various problems, so effective management of blood loss is needed. This prospective, single-blind, randomized controlled trial aimed to compare the efficacy of topical administration of SURGICEL® (a hemostatic agent of oxidized regenerated cellulose) powder (SP) and tranexamic acid (TXA) in controlling perioperative bleeding during THA. In total, 114 patients undergoing THA for osteoarthritis were randomized to either group S (THA with SP) or group T (THA with TXA). Data including patient demographics, laboratory data (C-reactive protein [CRP], hemoglobin, and hematocrit), operative time, and intraoperative blood loss were analyzed. Clinical outcomes were assessed using WOMAC, JOA, FJS scores, and visual analog scale (VAS) scores. Primary outcomes were estimated total and postoperative blood loss, while secondary outcomes included hematological test results and various clinical scores. 57 patients were allocated to each group, with 55 in group S and 56 in group T were finally included in the analysis. There was no significant difference (p = 0.141) in estimated total blood loss between group S (788.2 ± 350.1ml) and group T (714.1 ± 318.4ml). Hemoglobin and hematocrit levels and WOMAC, and FJS scores were not significantly different between the two groups at any time point. CRP levels were significantly different on postoperative days 4 and 7, and JOA score was significantly different on preoperative and postoperative period. However, the differences in CRP and JOA score values themselves were relatively small and not clinically different. Topical administration of SP is as effective as TXA in reducing perioperative bleeding in patients undergoing THA. Additionally, no significant difference was observed in early postoperative clinical outcomes between SP and TXA. Therapeutic Level I. The University Hospital Medical Information Network (UMIN) registration number UMIN000047607.