Laboratory Test Data Research Articles

Nutritional status of 15 children with progeria

Objective: To analyze the nutritional status of progeria, and to provide reference for scientific nutritional management of progeria. Methods: This cross-sectional study included 15 children with progeria who were treated at Children's Hospital, Zhejiang University School of Medicine, between April 2022 and May 2023. Data of medical history, physical examination, laboratory tests, dietary survey and body composition were collected and analyzed. Results: Among 15 patients there were 7 males and 8 females, aged 7.8 (2.3, 10.8) years. Twelve of the 15 patients exhibited signs of malnutrition. A 24-hour dietary survey was carried out in 14 of them. The daily energy intake of 11 cases was below recommended levels. Carbohydrate intake was insufficient in 10 cases, protein intake was insufficient in 7 cases, and fat intake was insufficient in 12 cases. Deficiencies in calcium, magnesium, iron and zinc were noted in 13, 13, 9 and 10 cases, respectively. Body composition was determined by dual-energy X-ray absorptiometry in 8 cases, and the bone mineral density was below average in 5 of them. Conclusions: Malnutrition, characterized by reduced energy intake, micronutrient deficiencies, and alteration in body composition, is prevalent in children with progeria. Regular routine nutritional assessment and proper interventions may benefit their long-term health status.

Association between cerebrospinal fluid pressure and cognition in patients with Alzheimer’s disease and Lewy body dementia

BackgroundThe relationship between cerebrospinal fluid pressure (CSFP) and cognition has received little research attention. The purpose of this study was to explore the relationship between CSFP and cognition in patients with Alzheimer’s disease (AD) and patients with Lewy body dementia (LBD).MethodWe included 178 participants, including 137 patients with AD and 41 patients with LBD (including dementia with Lewy bodies (DLBs) and Parkinson’s disease dementia (PDD)). CSFP was measured by lumbar puncture, and a patient-reported history and laboratory test data were collected. Logistic and linear regression analyses were used to evaluate the associations between CSFP and cognition, the cerebrospinal fluid (CSF) / serum albumin ratio (Qalb), and CSF biomarkers of AD.ResultsThe mean age of the included patients was 63.58 ± 8.77 years old, and the mean CSFP was 121 ± 33.72 mmH2O. A total of 76.9% of the patients had a CSFP distribution of [90–170) mmH2O, 46 patients (25.8%) had severe dementia, 83 patients (46.6%) had moderate dementia, 28 patients (15.7%) had mild dementia, and 21 patients (11.8%) had mild cognitive impairment (MCI) (including 16 patients with MCI due to AD and 5 patients with MCI due to LBD). In all patients (p value < 0.001) and in patients with AD (p value = 0.01), the mean cerebrospinal fluid pressure (CSFP) was higher in patients with MCI than in patients with dementia. In multivariate analysis, in all patients (OR: 6.37, 95% confidential interval (CI): 1.76–23.04, p = 0.005) and patients with AD (odds ratio (OR): 5.43, 95% CI: 1.41–20.87, p = 0.005), a CSFP in the lowest quartile ([50–90) mmH2O) was associated with a higher level of severe dementia than a CSFP in the highest quartile ([170–210) mmH2O). In addition, there was a significant linear correlation between CSFP and the Mini-Mental State Examination (MMSE) score in all patients with dementia (r = 0.43, p = 0.04, Durbin-Watson test (D-W test) = 0.75).ConclusionIn patients with AD, the mean cerebrospinal fluid pressure was higher in patients with MCI than in patients with dementia, and the decrease in CSFP was related to a more serious dementia level. However, no such relationship was found in patients with LBD.

Development and cross-validation of prediction equations for body composition in adult cancer survivors from the Korean National Health and Nutrition Examination Survey (KNHANES).

Epidemiological studies frequently use indices of adiposity related to mortality. However, no studies have validated prediction equations for body composition in adult cancer survivors. We aimed to develop and cross-validate prediction equations for body fat mass (BFM), lean body mass (LBM), trunk fat mass (TFM), and appendicular lean mass (ALM) in adult cancer survivors using sociodemographic, anthropometric, and laboratory test data. This study included adult cancer survivors from the Korean National Health and Nutrition Examination Survey 2008-2011 with complete data on Dual-energy X-ray absorptiometry (DXA) measurements. A total of 310 participants were randomly divided into development and cross-validation groups (5:5 ratio). Age, height, weight, waist circumference, serum creatinine levels, and lifestyle factors were included as independent variables The predictive equations were developed using a multiple linear regression and their predictive performances were primarily evaluated with R2 and Concordance Correlation Coefficient (CCC). The initial equations, which included age, height, weight, and waist circumference, showed different predictive abilities based on sex for BFM (total: R2 = 0.810, standard error of estimate [SEE] = 3.072 kg, CCC = 0.897; men: R2 = 0.848, SEE = 2.217 kg CCC = 0.855; women: R2 = 0.791, SEE = 2.194 kg, CCC = 0.840), LBM (total: R2 = 0.736, SEE = 3.321 kg, CCC = 0.838; men: R2 = 0.703, SEE = 2.450 kg, CCC = 0.774; women: R2 = 0.854, SEE = 2.234 kg, CCC = 0.902), TFM (total: R2 = 0.758, SEE = 1.932 kg, CCC = 0.844; men: R2 = 0.650, SEE = 1.745 kg, CCC = 0.794; women: R2 = 0.852, SEE = 1.504 kg, CCC = 0.890), and ALM (total: R2 = 0.775, SEE = 1.726 kg, CCC = 0.876; men: R2 = 0.805, SEE = 1.320 kg, CCC = 0.817; women: R2 = 0.726, SEE = 1.198 kg, CCC = 0.802). When additional factors, such as creatinine, smoking, alcohol consumption, and physically inactive were included in the initial equations the predictive performance of the equations were generally improved. The prediction equations for body composition derived from this study suggest a potential application in epidemiological investigations on adult cancer survivors.

An automated system for determining soil parameters: Case study

The success of numerical analysis depends on several factors. One of the keys factors is the accurate determination of constitutive model parameters. Determining these parameters from in-situ tests has several advantages compared to laboratory tests, from lower costs to minimal disturbance of the soil. However, it is not possible to derive soil parameters directly from in-situ tests results, since correlations are required. The literature offers a wide range of correlations which increases the uncertainty during interpretation. The ongoing research project APD (Automated Parameter Determination) investigates the possibilities of automated parameter identification from in-situ tests using a graph-based approach. In the present paper, existing correlations – developed for cone penetration tests - are validated by comparing their output to laboratory results. The Norwegian GeoTest Sites (NGTS) infrastructure project consists of five tests sites in different soils in Norway. The data from the soft clay site located in Onsoy, south-eastern Norway was used in the validation process. A web-based application “Datamap” that has been developed to capture, organize, and classify geotechnical research data has been used to obtain in-situ and laboratory tests data. The further validation of existing correlations to derive accurate constitutive parameters from in-situ tests is part of ongoing research.

Relevance of a Customized Version of ChatGPT Explaining Laboratory Test Results in Patient Education.

ChatGPT is an artificial intelligence (AI) chatbot application. In this study, we explore the creation and use of a customized version of ChatGPT designed specifically for patient education, called "Lab Explainer." Lab Explainer aims to simplify and clarify the results of complex laboratory tests for patients, using the sophisticated capabilities of AI in natural language processing; it analyses various laboratory test data and provides clear explanations and contextual information. The approach involved adapting OpenAI's ChatGPT model specifically to analyze laboratory test data. The results suggest that Lab Explainer has the potential to improve understanding by providing an interpretation of laboratory tests to the patient. In conclusion, the Lab Explainer can assist patient education by providing intelligible interpretations of laboratory tests.

Kidney function in healthcare clients in Khayelitsha, South Africa: Routine laboratory testing and results reflect distinct healthcare experiences by age for healthcare clients with and without HIV.

In South Africa, PLHIV are eligible for free ART and kidney function screening. Serum creatinine (SCr) laboratory test data from the National Health Laboratory Service are collated at the Provincial Health Data Centre and linked with other routine health data. We analysed SCr and estimated glomerular filtration rate (eGFR) results for PLHIV and HIV-negative healthcare clients aged 18-80 years accessing healthcare in Khayelitsha, South Africa and comorbidity profiles at SCr and eGFR testing. 45 640 individuals aged 18-80 years with at least one renal test accessed Khayelitsha public health facilities in 2016/2017. 22 961 (50.3%) were PLHIV. Median age at first SCr and eGFR test for PLHIV was 33yrs (IQR: 27,41) to 36yrs (IQR: 30,43) compared to 49yrs (IQR: 37,57) and 52yrs (IQR: 44,59) for those without HIV. PLHIV first median SCr results were 66 (IQR: 55,78) μmol/l compared to 69 (IQR: 58,82) μmol/l for HIV-negative individuals. Hypertension, diabetes, and CKD at testing were more common in HIV-negative people than PLHIV. HIV, diabetes and tuberculosis (TB) are associated with higher eGFR results; whilst hypertension, being male and older are associated with lower eGFR results. These data reflect testing practices in the Western Cape: younger people without HIV have generally worse kidney function test results; younger PLHIV have generally good test results, and older people with/without HIV have generally similar test results, reflecting regular screening for kidney function in asymptomatic PLHIV whereas young HIV-negative people are tested only when presenting with renal symptoms. Our analysis suggests we cannot infer the future healthcare requirements of younger PLHIV based on the current ageing population, due to changing ART availability for different generations of PLHIV. Instead, routine health data may be used in an agile way to assess ongoing healthcare requirements of ageing PLHIV, and to reflect implementation of treatment guidelines.

Exploration of pharmacokinetic differences between East Asians and Caucasians: insights from pharmacokinetic studies in healthy subjects.

Interethnic differences in the pharmacokinetics of drugs result from a complex interplay of environmental, genetic, and demographic factors. Identifying ethnic differences in pharmacokinetics is challenging due to the multifaceted contributions of the underlying factors. To address these challenges, this paper reviews 9 pharmacokinetic studies meeting the following criteria: (A) Conducted at Seoul National University Hospital from 2013 to 2022 as a single-center study. (B) Pharmacokinetic studies involving both East Asians (Korean, Japanese, or Chinese) and Caucasians. (C) Study drugs were administered orally. (D) Raw data was provided for reanalysis. This retrospective analysis aimed to investigate the existence of ethnic differences in drug exposure and understand the possible factors contributing to these variabilities. Pharmacokinetic, demographic, and clinical laboratory test data were analyzed to assess potential pharmacokinetic differences between East Asians and Caucasians. This assessment involved calculating the geometric mean ratio of dose-normalized area under the time-concentration curve (AUC) and dose- and weight-normalized AUC, along with their 90% confidence intervals. Additionally, pharmacological information, including metabolic pathways, was gathered from the investigational brochure or the respective country's drug label. Among 9 studies, 4 studies demonstrated approximately 1.3 to 1.8 times higher drug exposure in East Asians compared to Caucasians. These drugs were primarily eliminated through hepatic metabolism, with less than 5% excreted unchanged in the urine. Two drugs were metabolized by hepatic cytochrome P450 3A4, one by glutathione S-transferase, and specific metabolic pathways for another drug were not identified. Further research is needed to assess the causes of ethnic variability in these drugs.

A retrospective analysis of the influencing factors of nucleic acid CT value fluctuation in COVID-19 patients infected with Omicron variant virus in Changchun city.

This study aimed to determine the risk factors associated with fluctuations in nucleic acid CT values in patients infected with the Omicron variant during an outbreak at a hospital in Changchun city. A retrospective analysis was conducted on general information, medical history, vaccination history, and laboratory test data of COVID-19 patients infected with the Omicron variant and admitted to the hospital in Changchun from March 2022 to April 2022. The study aimed to explore the factors influencing nucleic acid CT value fluctuations in COVID-19 patients infected with the Omicron variant in Changchun city. Fluctuations in nucleic acid CT values were significantly correlated with occupation composition (p = 0.030), hospital stay duration (p = 0.000), heart rate (p = 0.026), creatinine (p = 0.011), platelet count (p = 0.000), glutamic-pyruvic transaminase (p = 0.045), and glutamic oxaloacetic transaminase (p = 0.017). Binary logistic regression analysis revealed significant correlations between hospital stay duration (p = 0.000), platelet count (p = 0.019), heart rate (p = 0.036), and nucleic acid CT value fluctuations (p < 0.05), indicating that they were independent risk factors. Red blood cell count was identified as a factor influencing nucleic acid CT value fluctuations in Group A patients. Occupation composition, direct bilirubin, and platelet count were identified as factors influencing nucleic acid CT value fluctuations in Group B patients. Further binary logistic regression analysis indicated that occupational composition and direct bilirubin are significant independent factors for nucleic acid CT value fluctuations in Group B patients, positively correlated with occupational risk and negatively correlated with direct bilirubin. Therefore, enhancing patients' immunity, increasing physical exercise to improve myocardial oxygen consumption, reducing the length of hospital stays, and closely monitoring liver function at the onset of hospitalization to prevent liver function abnormalities are effective measures to control fluctuations in nucleic acid CT values.

Approximation method for yielding support analysis in high ground stress soft surrounding rock tunnels.

In solving the whole process of interaction between soft rock and yielding support in high-stress environments in tunnels using mechanical analysis methods, it is challenging to simultaneously satisfy both displacement coordination and static equilibrium at the contact surface between the rock and the support structure. This paper, based on the mechanical analysis of rock and rigid support, considers the impact of the circumferential installation of yielding elements on radial displacement, and proposes displacement approximation and support force approximation methods using displacement coordination and static equilibrium as approximation conditions. The study fits curves of numerical simulation results and laboratory test results of yielding elements, and attempts to directly use the laboratory test data set of yielding elements as computational data. By calculating two circular tunnel examples and comparing the effects of the trisection method, bisection method, and substitution method on the convergence of the displacement approximation method, the effectiveness of the methods proposed in this paper is verified. The research results show that the two approximation algorithms proposed in this paper have good accuracy and reliability in calculating the relative displacement of rock and yielding support structure contact surfaces, and the support force of yielding support. The bisection method outperforms the trisection and substitution methods in terms of stability and convergence. However, there are certain limitations in this study, such as the effectiveness of the algorithm may be influenced by geological conditions; the complexity of actual geological conditions may exceed the assumptions of the current rock-support mechanical analysis model.

Traceability and analysis method for measurement laboratory testing data based on intelligent Internet of Things and deep belief network

Traceability and analysis method for measurement laboratory testing data based on intelligent Internet of Things and deep belief network

Impacts of the advancement in artificial intelligence on laboratory medicine in low- and middle-income countries: Challenges and recommendations-A literature review.

Artificial intelligence (AI) has emerged as a transformative force in laboratory medicine, promising significant advancements in healthcare delivery. This study explores the potential impact of AI on diagnostics and patient management within the context of laboratory medicine, with a particular focus on low- and middle-income countries (LMICs). In writing this article, we conducted a thorough search of databases such as PubMed, ResearchGate, Web of Science, Scopus, and Google Scholar within 20 years. The study examines AI's capabilities, including learning, reasoning, and decision-making, mirroring human cognitive processes. It highlights AI's adeptness at processing vast data sets, identifying patterns, and expediting the extraction of actionable insights, particularly in medical imaging interpretation and laboratory test data analysis. The research emphasizes the potential benefits of AI in early disease detection, therapeutic interventions, and personalized treatment strategies. In the realm of laboratory medicine, AI demonstrates remarkable precision in interpreting medical images such as radiography, computed tomography,and magnetic resonance imaging.Its predictive analytical capabilities extend to forecasting patient trajectories and informing personalized treatment strategies using comprehensive data sets comprising clinical outcomes, patient records, and laboratory results. The study underscores the significance of AI in addressing healthcare challenges, especially in resource-constrained LMICs. While acknowledging the profound impact of AI on laboratory medicine in LMICs, the study recognizes challenges such as inadequate data availability, digital infrastructure deficiencies, and ethical considerations. Successful implementation necessitates substantial investments in digital infrastructure, the establishment of data-sharing networks, and the formulation of regulatory frameworks. The study concludes that collaborative efforts among stakeholders, including international organizations, governments, and nongovernmental entities, are crucial for overcoming obstacles and responsibly integrating AI into laboratory medicine in LMICs. A comprehensive, coordinated approach is essential for realizing AI's transformative potential and advancing health care in LMICs.

Laser Surgical and Open Hemorrhoidoplasty: A Comparative Analysis

Hemorrhoidal illness is widely regarded as the most frequent rectum and large intestine condition, according to studies. According to many researchers, this condition affects 2.9% to 27.9% of the worldwide population, with 4% showing symptoms. Thus, our study compared laser hemorrhoidoplasty(LHP) and open hemorrhoidoplasty(OH). A comprehensive structural model analysis was performed on patients: this covered age and sex distribution, clinical presentation, and clinical and laboratory test data. The patients were then randomly divided into two groups. Post-operative outcomes included pain, bleeding, ROU, hospital stay, and recurrence. The study used the Chi-square test to investigate two nominal variables. We found that four patients (8% OH group) did not fully recover from the condition. At the same time, no recurrences were observed in the LHP group. Therefore, we came to the conclusion that LHP was better than OH. In addition to the above, further studies must be done in this field.

Parametric study of reinforced interlocking brick wall under cyclic loading

Mortarless interlocking brick walls are a new form of masonry structures that can be efficiently constructed. In this study, a detailed numerical model of an interlocking brick wall under quasi-static in-plane cyclic loading is generated and verified with laboratory test data. The influence of the vertical reinforcement placement methods, i.e., grouted vs. unbonded, and the influence of wall-to-brick size ratio are firstly investigated. Parametric studies are then carried out to quantify the influences of axial precompression level, shear span ratio and friction coefficient between bricks on the lateral load-carrying capacity, deformation capacity, and energy dissipation capability of the studied mortarless interlocking brick walls subjected to in-plane cyclic loading with analytical equations summarised for predicting the resistance performance of this type of mortarless interlocking brick walls under in-plane cyclic loading.

(Invited) New Experimental and Modelling Approaches to Predict Better Corrosion and Protection Properties of Coated Metals

The development of new materials is very time and material intensive. To assess the corrosion properties of coated metallic systems, typically accelerated laboratory corrosion tests are performed. Unfortunately, in the current state of the art there is no proven relationship between laboratory testing data and field performance data. This is particularly due to a lack of data from the field in which the key performance affecting properties are measured, and a lack of understanding of the mechanisms of failure and the absence of a detailed model that allows to predict the coating performance based on laboratory test data. The innovative goal of the project is to develop an integrated corrosion modelling tool that is reliable and predictive. Integrated means that all subsystems (metal, coating, electrolyte) and all phenomena leading to corrosion of the system (transport through the coating, interfacial (electro)chemistry, delamination) are brought together in one model. To achieve our goals, we need to use a combined experimental/finite element modelling (FEM) approach. The modelling is necessary for the quantitative description of all relevant phenomena. The experimental approach is necessary at two levels: on the one hand we need to perform experiments to gain mechanistic insight in the occurring phenomena and to determine input parameters for the modelling, on the other hand we need to do the experimental validation of the proposed model(s). We try to focus on both aspects bringing in new advanced combined electrochemical & in situ surface analysis, advanced finite element electrochemical modelling and more recently quantum chemical modelling. At the end of the presentation the recently started Horizon 2020 project VIPCOAT will be introduced. The goal of the EU-funded VIPCOAT project is to create an open innovation platform that should assist engineers in developing coating materials and constructing accelerated life test scenarios to assess their durability.Acknowledgements: FWOSBO project S000718N,Predictcorr and H2020-NMBP-TO-IND-2020,Vipcoat

Advective gas flow in bentonite: Development and comparison of enhanced multi-phase numerical approaches

Understanding the impact of repository gas, generated from degradation of waste and its interaction with the host rock, is essential when assessing the performance and safety function of long-term disposal systems for radioactive waste. Numerical models based on conventional multi-phase flow theory have historically been applied to predict the outcome and impact of gas flow on different repository components. However, they remain unable to describe the full complexity of the physical processes observed in water-saturated experiments (e.g., creation of dilatant pathways) and thus, the development of novel representations for their description is required when assessing fully saturated clay-based systems. This was the primary focus of Task A within the international cooperative project DECOVALEX-2019 (D-2019) and refinement of these approaches is the primary focus of this study (Task B in the current phase of DECOVALEX-2023).This paper summarises development of enhanced numerical representations of key processes and compares the performance of each model against high-quality laboratory test data. Experimental data reveals that gas percolation in water-saturated compacted bentonite is characterised by four key features: (i) a quiescence phase, followed by (ii) the gas breakthrough, which leads to a (iii) peak value, which is then followed by (iv) a negative decay. Three models based on the multiphase flow theory have been developed. These models can provide good initial values and reasonable responses for gas breakthrough (although some of them still predict a too-smooth response). Peak gas pressure values are in general reasonably well captured, although maximum radial stress differences are observed at 48 mm from the base of the sample. Here, numerical peak values of 12.8 MPa are predicted, whereas experimental values are about 11 MPa. These models are also capable of providing a reasonable representation of the negative pressure decay following peak pressure. However, other key specific features (such as the timing of gas breakthrough) still require a better representation. The model simulations and their comparison with experimental data show that these models need to be further improved with respect to model parameter calibration, the numerical representation of spatial heterogeneities in material properties and flow localisation, and the upscaling of the related physical processes and parameters. To further understand gas flow localisation, a new conceptual model has been developed, which shows that discrete channels can possibly be induced through the instability of gas-bentonite interface during gas injection, thus providing a new perspective for modeling gas percolation in low-permeability deformable media.

Safety and benefit of ambulation within 24 hours in elderly patients undergoing lumbar fusion: propensity score matching study of 882 patients

BACKGROUND CONTEXTElderly patients are less likely to recover from lumbar spine fusion (LSF) as rapidly compared with younger patients. However, there is still a lack of research on the effect of early ambulation on elderly patients undergoing LSF surgery for lumbar degenerative disorders. PURPOSETo evaluate the safety and benefit of ambulation within 24 hours in elderly patients who underwent LSF. STUDY DESIGNA retrospective study. PATIENT SAMPLEConsecutive patients (aged 65 and older) who underwent elective transforaminal lumbar interbody fusion surgery for degenerative disorders from January 2019 to October 2022. OUTCOME MEASURESOutcome measures included postoperative complications, postoperative drainage (mL), laboratory test data, length of hospital stay (LOS), readmission and reoperation within 3 months. METHODSEarly ambulation patients (ambulation within 24 hours after surgery) were propensity-score matched 1:1 to a delayed ambulation patients (ambulation at a minimum of 48 hours postoperatively) based on age, intraoperative blood loss, and number of fused segments. The incidence of postoperative adverse events (AEs, including rates of complications, readmission, and prolonged LOS) and the average LOS were used to assess the safety and benefit of early ambulation, respectively. Multivariable regression analysis was performed to assess the association between early ambulation and postoperative AEs. The risk factors for delayed ambulation were also determined using multivariable logistic analyses. RESULTSA total of 998 patients with LSF surgery were reviewed in this study. After excluding 116 patients for various reasons, 882 patients (<24 hours: N=350, 24–48 hours: N=230, and >48 hours: N= 302) were included in the final analysis. After matching, sex, BMI, preoperative comorbidities, laboratory test data and surgery-related variables were comparable between the groups. The incidence of postoperative AEs was significantly lower in the EA group (44.3% vs 64.0%, p<.001). The average postoperative LOS of the EA group was 2 days shorter than the DA group (6.5 days vs 8.5 days, p<.001). Patients in the EA group had a significantly lower rate of prolonged LOS compared with the DA group (35.1% vs 55.3%, p<.001). There was no significant difference in postoperative drainage volumes between the two groups. Multivariable analysis identified older age (odds ratio [OR] 1.07, p<.001), increased intraoperative EBL (OR 1.002, p=.001), and higher international normalization ratio (OR 10.57, p=.032) as significant independent risk factors for delayed ambulation. CONCLUSIONSAmbulation within 24 hours after LSF surgery is independently associated fewer AEs and shorter hospital stays in elderly patients. Implementing the goal of ambulation within 24 hours after LSF surgery into enhanced recovery after surgery protocols for elderly patients seems appropriate. Older age, increased intraoperative blood loss and worse coagulation function are associated with delayed ambulation.

Biobanking in the hospital of a multidisciplinary research medical center as a potential for a wide research range. Part II. Specifics and first results of developing a described collection of biomaterial

In connection with the development of genetic and other types of research in translational medicine, collections containing a significant number of biospecimens and large data sets are required. Since in-depth examination of patients is most often carried out during hospitalization, the creation of collections based on electronic medical records (EMR) data is promising. In this regard, the project "Total biobanking in the hospital of the National Medical Research Center for Therapy and Preventive Medicine" was initiated, aimed at total biobanking of blood and related products from patients in inpatient departments and the creation of a unified system that combines information on biosamples, clinical and other types of data.Aim. To describe the collection of biospecimens collected within the project "Total biobanking in the hospital of the National Medical Research Center for Therapy and Preventive Medicine" for August 2023, and to analyze the process of biospecimen description.Material and methods. Recruitment of patients is carried out on the basis of inpatient departments of the National Medical Research Center for Therapy and Preventive Medicine, only if the patient signs informed consent. After blood is taken, the biomaterial enters the biobank, where sample preparation and storage is carried out, as well as data about each biosample is entered into a special FreezerPRO system. At the same time, clinical data about the patient is collected using EMR, which are combined in the Medialog medical information system.Results. A special software for data exchange between the medical information system and the biobank has been developed, which combines information about patients entering the Medialog medical information system and the FreezerPro biospecimen management system, which contains detailed information about biospecimens. As of August 25, 2023, biomaterial from 3996 patients was collected, which was accompanied by a detailed clinical summary. In particular, data is available on diagnoses (for 100% of patients), laboratory test data (100%), paraclinical data, in particular, electrocardiography (100%), echocardiography (76,8%), 24-hour Holter monitoring (59,8%), esophagogastroduodenoscopy (27,3%), etc. The most common diseases were hypertension (76,0%), atherosclerosis (69,9%), coronary artery disease (52,9%), arrhythmias (50,6%), diabetes (19,2%). In addition, 25,0% of patients had prior stenting.Conclusion. Total biobanking within the hospital of a multidisciplinary research medical center allows for the rapid and high-quality collection of biomaterial and related data. A collection of biospecimens with comprehensive and detailed clinical annotations has been collected. A primary analysis of the collection was carried, which showed that it can be used for a wide range of studies.

Identification of discriminatory factors and construction of nomograms for differentiating AOSD and sepsis.

This study aimed to develop nomogram prediction models to differentiate between adult-onset Still's disease (AOSD) and sepsis. We retrospectively collected laboratory test data from 107 hospitalized patients with AOSD and sepsis at the Affiliated Hospital of Xuzhou Medical University. Multivariate binary logistic regression was used to develop nomogram models using arthralgia, WBC, APTT, creatinine, PLT, and ferritin as independent factors. The performance of the model was evaluated by the bootstrap consistency index and calibration curve. Model 1 had an AUC of 0.98 (95% CI, 0.96-1.00), specificity of 0.98, and sensitivity of 0.94. Model 2 had an AUC of 0.96 (95% CI, 0.93-1.00), specificity of 0.92, and sensitivity of 0.94. The fivefold cross-validation yielded an accuracy (ACC) of 0.92 and a kappa coefficient of 0.83 for Model 1, while for Model 2, the ACC was 0.87 and the kappa coefficient was 0.74. The nomogram models developed in this study are useful tools for differentiating between AOSD and sepsis. Key Points • The differential diagnosis between AOSD and sepsis has always been a challenge • Delayed treatment of AOSD may lead to serious complications • We developed two nomogram models to distinguish AOSD from sepsis, which were not previously reported • Our models can be used to guide clinical practice with good discrimination.

Seismic-induced landslide hazard analysis of the recreational area of the Makiling Botanic Gardens, Los Baños, Laguna, Philippines

The Makiling Botanic Gardens (MBG) is an educational and eco-tourism site located within the vicinity of Mount Makiling, a dormant volcano susceptible to landslides, and located less than 20 km away from at least two tectonic faults. The study assessed the seismic-induced landslide hazards in the recreational area of MBG mainly based on three parameters: factor of safety (FS), yield acceleration (ay), and slope displacement (Dn). Dynamic Cone Penetration Test (DCPT) served as the primary method for obtaining the shear strength of the soil within the area. Meanwhile, other relevant parameters, including material unit weight and internal angle of friction, were determined through laboratory testing, correlations, and available data and models. Moreover, the Peak Ground Acceleration (PGA) and Spectral Acceleration (SA) values were obtained through an interpretation of a probabilistic seismic hazard analysis (PSHA) study of the Philippines. Using the ArcGIS software, an FS map, yield acceleration map, and slope displacement map were generated. Results showed that the slopes within the area exhibit static stability. However, in the event of an earthquake, it is expected that the amplified PGA will exceed the expected yield acceleration values of the slopes in some parts of the recreational area, which could result in dynamic instability and slope displacements as high as 130 mm. Thus, the recreational area of MBG possesses some susceptibility towards a seismic-induced landslide.

Unpredictable Blood Product Usage in Orthotropic Liver Transplantation: A Foregone Conclusion or A Problem Solved by Artificial Intelligence?

Abstract Introduction/Objective Orthotropic liver transplantation (OLT) is a complex procedure requiring coordination between operative and transfusion medicine staff. Unanticipated blood product demands during these surgeries strain blood bank inventory, especially when units are needed for patients with significant alloantibodies. Currently, transfusion medicine services issue set numbers of crossmatched red blood cell (RBC) units for these procedures. At our institution, 10 units are issued for each OLT. This project categorized OLT patients into three groups by RBC unit requirements: &amp;lt;5 units, 5-9 units and &amp;gt;10 units. Furthermore, we identified pre-operative clinical and lab factors predicting placement into each category. From this data, we developed an artificial intelligence platform (CCBBAI-1). Methods/Case Report We collected data from 474 adults (&amp;gt;18 years old) that underwent OLT from Jan. 1, 2021, to Dec. 31, 2022. Demographic, anticoagulant, and lab testing data generated within 24 hours of admission were obtained. Data analysis was performed in R-studio. CCBBAI-1 was built using machine intelligence learning optimizer platform (MILO). Results (if a Case Study enter NA) Based on univariate regression analysis (p-value&amp;lt;0.05, 95% confidence interval (CI)), the following lab variables were predictive of &amp;gt;10 RBC units issued: high INR (OR 3.48 [CI 2.35-5.26]), admission heparin dosage (2.61 [1.56-4.31]), total bilirubin (1.06 [1.04-1.08]), conjugated bilirubin (1.08 [1.04-1.11]), PTT (1.04 [1.03-1.06]), BUN (1.03 [1.02-1.04]), and creatinine (1.55 [1.33-1.83]). Low albumin (1.50 [1.13-2.22]) and MCV (1.04 [1.02-1.07]) also projected a 10 RBC unit procedural requirement. The univariate regression analysis variables predictive in categorizing patients requiring 5-9 units vs &amp;lt; 5 units were as follows: decreased albumin (2.17 [1.42-3.33]), decreased serum calcium level (1.72 [1.13-2.63]) and elevated INR (2.14 [1.36-3.40]). The mean number of units issued for each patient group including those requiring &amp;gt;10, 5-9, and &amp;lt;5 units were 22, 7, and 2 units, respectively. CCBBAI-1 achieved a sensitivity of 87.0% and specificity of 70.0% in classifying patients requiring &amp;gt;10 RBC units. Patients needing &amp;lt;10 units were analyzed in a second module to determine if they needed 5-9 units, achieving a sensitivity of 64.7% and a specificity of 62.4%. Conclusion Our study divided OLT patients into three categories and identified predictive laboratory values characterizing each group, a step towards improving transfusion medicine efficacy in this context.