Beyond the Preventive Measures: A Delphi Method-Based Study of the Impact of the COVID-19 Pandemic on the Mental Health of Different Age Groups.

Background and Objectives: The coronavirus disease 2019 (COVID-19) preventive measures affected various aspects of people's lives, while also representing an important risk factor for people's mental health. In the present study, we examined the negative psychological consequences of the preventive measures on people's mental health and the protective factors that strengthened their mental health and well-being during the pandemic. Materials and Methods: A study, using a combination of qualitative and quantitative methods based on a Delphi protocol, was conducted with a sample of Slovenian professionals who worked with people from different demographic groups (i.e., children and adolescents, emerging adults, the adult working population, the elderly) during the pandemic. We conducted (i) a qualitative study involving semi-structured interviews with 11 professionals and (ii) a quantitative study where 73 professionals completed a structured online questionnaire. Results: Experts recognized the disruption of informal face-to-face social contacts as the measure with the greatest impact on people's lives across all groups studied, the effect being particularly evident in relation to individuals' development period and socio-demographic characteristics. An individual's ability to adapt to change and emotional support provided by family or other close persons contributed significantly to maintaining mental health and well-being during the pandemic. Conclusions: Considering the interplay of various COVID-19-related risk and protective factors for mental health, enabling and promoting the maintenance and development of social relationships (including through alternative pathways) should be a priority aspect of (mental health) intervention for all demographic groups.

Supporting physical activity adoption through recommender system technology: A pilot study.

We tested the potential for recommender system technology to provide personalized physical activity (PA) suggestions for inactive young adults with high bodyweight. We developed a recommender system using data from the 2017 Behavioral Risk Factor Surveillance System and assessed interest in using the system among 47 young adults (mean age = 23.0 years; 63.4% female; 65.0% White; mean BMI = 29.4). Eleven of these participants (mean age = 23.6 years; 90.9% female, 63.6% White; average BMI = 28.5) also received a PA recommendation and a follow-up interview. Approximately half of the survey participants were willing to use the recommender system, and participants interested in the recommender system differed from those unwilling to try the system (e.g., more likely to be female, worse self-perceived health). Furthermore, eight of the 11 interviewees tried the PA recommended to them, but had mixed reviews of the system's accuracy. Although our recommender system requires improvements, such systems have promise for supporting PA adoption.

Research on likelihood ratio evaluation method of fingerprint evidence based on parameter estimation method.

Fingerprints with similar morphological characteristics but from different individuals can lead to errors in individual identification, especially when dealing with large databases containing millions of fingerprints. To address this issue and enhance the accuracy of similar fingerprint identification, the use of the likelihood ratio (LR) model for quantitative evaluation of fingerprint evidence has emerged as an effective research method. In this study, the LR fingerprint evidence evaluation model was established by using mathematical statistical methods, such as parameter estimation and hypothesis testing. This involved various steps, including database construction, scoring, fitting, calculation, and visual evaluation. Under the same-source conditions, the optimal parameter methods selected by different number of minutiae are gamma and Weibull distribution, while normal, Weibull, and lognormal distributions were the fitting parameters selected for minutiae configurations. The fitting parameters selected by different number of minutiae under different-source conditions are lognormal distribution, and the parameter methods selected for different minutiae configurations include Weibull, gamma, and lognormal distributions. The results of the LR model showed increased accuracy as the number of minutiae increased, indicating strong discriminative and corrective power. However, the accuracy of the LR evaluation based on different configurations was comparatively lower. In addition, the LR models with different numbers of minutiae outperformed those with different minutiae configurations. Our study shows that the use of LR models based on parametric methods is favoured in reducing the risk of fingerprint evidence misidentification, improving the quantitative assessment methods of fingerprint evidence, and promoting fingerprint identification from experience to science. Key points: Likelihood ratio (LR) method based on parameter estimation was applied to scientific evaluation of fingerprint evidence with excellent discriminatory and calibration capabilities.Both the number of minutiae and configuration of minutiae have significant effects on the score-based LR method.Fingerprints from the same source contain many different patterns of deformation.Databases containing 10 million fingerprints from different sources have been used for building the LR model.

Stability study and development of the validated infrared spectrometric method for quantitative analysis of sevoflurane compared with the gas chromatographic method.

Sevoflurane, also called fluoromethyl ether, is an inhalation anesthetic agent used to initiate and maintain general anesthesia for adults and pediatric patients during surgical procedures. Several analytical methods have previously been applied to follow the properties and quality of sevoflurane, including mass spectrometry and gas chromatography methods. These methods are practically tedious and need sophisticated apparatus. In the present work, an attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectrometric method was used for the quantitative determination of sevoflurane which is characterized as a fast, accurate, and available technique for most pharmaceutical laboratories, besides the gas chromatographic method which is the most suitable for the detection of impurities. Sevoflurane is a liquid and it is applied directly on the glass top of the ATR-FTIR either as a concentrated solution or diluted with hexane as a diluent, which did not interfere with sample determination within the specified wavelength range of the IR spectrum, particularly the wavelength of the ethereal group at 1200 cm-1. This method can be applied to the identification test and quantitative assay of sevoflurane since it is validated for the precision, accuracy, reproducibility, and specificity in the analysis of sevoflurane as a pharmaceutical product. However, still, there is a need for a gas chromatographic method to detect the impurities and degradation products during the stability study of sevoflurane.

In-house validation of an LC-MS method for the multiplexed quantitative determination of total allergenic food in chocolate.

Mass spectrometry has been widely accepted as a confirmatory tool for the sensitive detection of undeclared presence of allergenic ingredients. Multiple methods have been developed so far, achieving different levels of sensitivity and robustness, still lacking harmonization of the analytical validation and impairing comparability of results. In this investigation, a quantitative method has been validated in-house for the determination of six allergenic ingredients (cow's milk, hen's egg, peanut, soybean, hazelnut, and almond) in a chocolate-based matrix. The latter has been produced in a food pilot plant to provide a real and well-characterized matrix for proper assessment of method performance characteristics according to official guidelines. In particular, recent considerations issued by the European Committee for Standardization have been followed to guide a rigorous single-laboratory validation and to feature the main method performance, such as selectivity, linearity, and sensitivity. Synthetic surrogates of the peptide markers have been used both in native and labelled forms in matrix-matched calibration curves as external calibrants and internal standards, respectively. A two-order of magnitude range was investigated, focusing on the low concentration range for proper assessment of the detection and quantification limits (LOD and LOQ) by rigorous calibration approach. Conversion factors for all six allergenic ingredients have been determined for the first time to report the final quantitative information as fraction of total allergenic food protein (TAFP) per mass of food (µgTAFP/gfood), since such a reporting unit is exploitable in allergenic risk assessment plans. The method achieved good sensitivity with LOD values ranging between 0.08 and 0.2 µgTAFP/gfood, for all ingredients besides egg and soybean, whose quantitative markers reported a slightly higher limit (1.1 and 1.2 µgTAFP/gfood, respectively). Different samples of chocolate bar incurred at four defined concentration levels close to the currently available threshold doses have been analyzed to test the quantitative performance of the analytical method, with a proper estimate of the measurement uncertainty from different sources of variability. The sensitivity achieved resulted in compliance with the various threshold doses issued or recommended worldwide.

Rapid screening and evaluation of natural antioxidants from leaf, stem, and root of Artemisia argyi by online liquid microextraction combined with HPLC-based antioxidant assay system coupled with calibration quantitative analysis.

To reveal the utilization value of leaf, stem, and root of Artemisia argyi, a rapid online liquid microextraction combined with a high-performance liquid chromatography coupled with 2,2-nitrogen-di (3-ethyl-benzothiazole-6-sulfonic acid) diammonium salt antioxidant assay system was established for analysis of antioxidants in the leaf, stem, and root of A. argyi, and a calibration quantitative method of antioxidant activity with equivalent chlorogenic acid was proposed. Thirty-three positive peaks were identified; among them, 12 compounds were found that possess good antioxidant activity including eleven organic acids (components 2-4, 8, 11-14, 17, 19, and 21) and one flavonoids (component 22). The proposed calibration quantitative method avoided the influence of content of compound and compared the extent of radical scavenging capacity of five antioxidant compounds, which were ranked as follow: 3,5-dicaffeoylquinic acid > 3,4-dicaffeoylquinic acid ≈ 4,5-dicaffeoylquinic acid > 1,4-dicaffeoylquinic acid > chlorogenic acid. In conclusion, this study provided composition and biological potential for the future development of the leaf, stem, and root of A. argyi. It is believed that the online liquid microextraction combined with high-performance liquid chromatography based antioxidant assay system can be widely used for the rapid screening of natural antioxidant components in the different parts of natural products.

Separation and quantification of tire and road wear particles in road dust samples: Bonded-sulfur as a novel marker.

Tire road wear particles (TRWPs) are a large source of microplastics in the environment, while the quantification of TRWPs is still challenging due to the complex interferences and the uncertainties and inconsistencies among different methods. This study developed a TRWPs quantification method using optimized pretreatments and bonded-sulfur as marker. Road dust samples (n = 48) were collected, pretreatments including density separation, digestion and extraction were optimized to remove interferences of the bonded-sulfur (minerals, sulfur-containing proteins, hydrosoluble/hydrophobic sulfur-containing substances). Presence of TRWPs in the samples was confirmed by microscopy and scanning electron microscopyenergy dispersive spectrometry. Bonded-sulfur in the samples were quantified by inductively coupled plasmamass spectrometry (ICPMS). Additionally, bonded-sulfur in tire wear particles (TWPs) abraded from tires of top 10 best-selling brands were measured to calculate conversion factor (1.1 ×104 µg/g) for the quantification of TRWPs in real samples. TRWPs contents were 5.40 × 104 µg/g11.02 × 104 µg/g and 2.36 × 104 µg/g5.30 × 104 µg/g in samples from heavy and light traffic roads, respectively. The method provided better recoveries (88-107%, n = 18) and repeatability (RSD=2.0-7.9%, n = 3) compared to methods using rubber, benzothiazole and organic zinc as markers. Furthermore, stability of the bonded-sulfur was validated by Raman and ICPMS. Thus, this accurate and stable quantification method could promote research on TRWPs.

Oral health and oral care in patients in a surgical context: A quantitative study comparing patients' and nurses' assessments.

AIMS: To investigate fundamental care delivery regarding oral care in a surgical context, and to compare patients' self-reported oral health with registered nurse assessments. DESIGN: A descriptive and comparative study, with a consecutive selection. METHODS: A patient oral health rating tool, including questions about performed oral care, was distributed to patients (n = 50), at four surgical wards in Sweden. The response rate was 72%. Oral health status was assessed by a registered nurse using the Revised Oral Assessment Guide (ROAG), and a comparison between patient and registered nurse assessment was performed by calculating Cohen's kappa coefficient and percentage agreement. RESULTS: Patients (38%) reported severe oral symptoms, mostly dry lips and not an adequate amount of saliva, and 80% were not offered help with oral care. ROAG assessments revealed that 74% had problems with oral health. Almost half of the patients (48%) needed assistance with oral care but only 10% received help. Registered nurses assessed the patient's oral health as worse than the patient's self-assessment did. CONCLUSION: There are deficiencies in fundamental care delivery regarding oral care in a surgical care context. Oral health assessments need to be performed by registered nurses. Routines for systematic oral assessments and for oral care need to be implemented by nurse managers to ensure that patients' fundamental care needs are fulfilled. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: Oral health assessments need to be performed regularly by registered nurses since it is insufficient that patients self-assess their oral health. Nurse managers need to provide and implement routines for nurse assessments and oral care in surgical care contexts. IMPACT: There are deficiencies in patients' oral health and oral care, and registered nurses need to perform oral health assessments. Nurse managers need to implement routines for registered nurse assessments and oral care. PATIENT CONTRIBUTION: Patients admitted to a surgical ward were included in the study after being screened for inclusion criteria. After participants signed informed consent, they filled in a questionnaire about oral health and oral care, and a registered nurse performed an oral health assessment. REPORTING METHOD: This study was carried out according to the STROBE checklist.

Qualitative and semi-quantitative analysis of melamine in liquid milk based on surface-enhanced Raman spectroscopy.

Melamine is one of the common limited contaminations in dairy products. The traditional detection method has a long period and complicated pretreatment process. The rapid detection method is the better method to solve the screening of limited contaminations. In this paper, taking melamine as the research object, the surface enhanced Raman spectrum of melamine in liquid milk were collected by portable Raman spectrometer, and melamine was qualitatively identified and semi-quantitatively analyzed by Raman characteristic peak and Raman intensity, and a simple and efficient rapid screening method for limited contaminations was developed. The limit of detection is 0.25 mg/kg. The probability of detection is 100% at 2.5 mg/kg, which is the same between the two laboratories, indicating that the semi-quantitative method has good repeatability. The method of melamine proposed in this study can meet the rapid screening requirements of limited contaminations at the maximum residue limit, and has a good application prospect.

[A Brief Introduction to Mixed Methods Systematic Review (MMSR)].

Systematic reviews provide important empirical evidence for healthcare providers to make the best clinical decisions. While qualitative research provides subjective information on the human experience, quantitative research may be used to provide quantified evaluations of interventions. To overcome the lack of objectivity in qualitative research and of context considerations in quantitative research, recent efforts have focused on developing mixed-method approaches that combine meta-analysis (quantitative systematic reviews) and meta-synthesis (qualitative systematic reviews). This new idea may help conceptualize studied phenomena more thoroughly. However, the typology remains inconsistent and the currently proposed approaches lack unified guidance and principles. In this paper, "mixed methods systematic review", a term promoted by the Joanna Briggs Institute, is used to indicate the newly developed systematic review. The use of systematic review in quantitative research and in qualitative research and the use of mixed methods systematic review are introduced chronologically, with an emphasis on procedures, examples, and quality appraisal tools. The concepts and concrete procedures for integrating results from different research method are presented for researchers and healthcare providers to allow them to better understand this approach and explore related phenomena more thoroughly.

The Determinants of Utilisation of Herbal Medicine Among Pregnant Women in the Asante Akim North District, Ghana.

BACKGROUND: Pregnant women especially in the developing countries resort to herbal medicines to manage their unpleasant conditions in pregnancy. The study examined the utilization of herbal medicine among pregnant women in Asante Akim North District of Ghana. METHODS: Purposive, random and convenient sampling techniques were used to select pregnant women visiting antenatal clinics in the selected health institutions. The theoretical underpinning of the study was the theory of planned behaviour. The sequential mixed method approach was used to draw data from the respondents. The research was a cross-sectional study and instruments used for data collection were structured questionnaire and interview guide. Data were analysed using statistical tools such as frequencies, percentages and chi-square test of independence. RESULTS: Results indicate that over 82% of respondents had ever used herbal medicine during pregnancy and they derived greater part of their medication from herbalists. Ginger and leaves of the neem tree were the herbs regularly used and the major health problems they faced during pregnancy were waist pains, malaria and anaemia. The factors that exhibited a statistically significant association with the use of herbal medicine were income (X2 =41.601; p=0.014) and religion (X2=9.422; p=0.045). CONCLUSIONS: The rate of use of herbal medicine by pregnant women is high in the district. The theoretical underpinning of the study has been vindicated. The findings have implications for global health given that maternal health issues engage serious attention of international donor organisations. Recommendations have been made to improve the efficacy of herbal medicine and to integrate herbal medicine into orthodox medicine.

Determining the Sex Assigned at Birth of Transgender and Nonbinary Populations in Administrative Claims Databases Utilizing Diagnostic and Procedure Codes.

Purpose: Widespread conflation of sex assigned at birth and gender has hindered the identification of transgender and nonbinary people in large datasets. The study objective was to develop a method of determining the sex assigned at birth of transgender and nonbinary patients utilizing sex-specific diagnostic and procedural codes, for future use in administrative claims databases, with a goal of expanding the available datasets for exploring sex-specific conditions among transgender and nonbinary people. Methods: Authors reviewed indexes of International Classification of Diseases (ICD) and Current Procedural Terminology (CPT) codes, and medical record data from a single institution's gender-affirming clinics. Sex-specific ICD and CPT codes were identified through author review and consultation with subject experts. Patient's sex assigned at birth determined by chart review, as a gold standard, was compared with sex assigned at birth determined by querying their electronic health records for natal sex-specific codes. Results: Sex-specific codes correctly identified 53.5% (n=364) of transgender and nonbinary patients assigned female sex at birth, and 17.3% (n=108) of those assigned male sex at birth. Codes were 95.7% and 98.3% specific for assigned female and male sex at birth, respectively. Conclusions: ICD and CPT codes can be used to specifically determine the sex assigned at birth in databases where this information is not recorded. This methodology has novel potential for use in exploring sex-specific conditions among transgender and nonbinary patients in administrative claims data.

Identification of the cause of the difference among TOC quantitative methods according to the water sample characteristics.

Total organic carbon (TOC) analysis with accurate determination of particulate organic carbon (POC) content in suspended solids (SS) containing water is critical for evaluating the environmental impact of particulate organic pollutants in water and calculating the carbon cycle mass balance. TOC analysis is divided into the non-purgeable organic carbon (NPOC) and differential (known as TC-TIC) methods; although the selection of method is greatly affected by the sample matrix characteristics of SS, no studies have investigated this. This study quantitatively evaluates the effect of SS containing inorganic carbon (IC) and purgeable organic carbon (PuOC), as well as that of sample pretreatment, on the accuracy and precision of TOC measurement in both methods for various environmental water sample types (12 wastewater influents and effluents and 12 types of stream water). For influent and stream water with high SS, the TC-TIC method expressed 110-200 % higher TOC recovery than that for the NPOC method due to POC component losses in SS owing to its conversion into PuOC during sample pretreatment (using ultrasonic) and subsequent loss in the NPOC purging process. Correlation analysis confirmed that particulated organic matter (POM, mg/L) content in SS directly affected this difference (r > 0.74, p < 0.01, n = 24); for POC water samples (those containing >10 mg/L of POM) featuring purgeable dissolved organic matter, TC-TIC was appropriate in securing TOC measurement accuracy. In constrast, in effluent and stream water with low SS (i.e., < ∼5 mg/L) and high IC (> 70 %) contents, the TOC measurement ratios (TC-TIC/NPOC) of both methods were similar, between 0.96 and 1.08, suggesting that NPOC is appropriate for improving precision. Our results provide useful basic data to establish the most reliable TOC analysis method considering SS contents and its properties along with the matrix characteristics of the sample.

Determination of the degree of quaternization of N,N,N-trimethylchitosan by CP-MAS 13C NMR.

Chitosan is used in several fields such as medicine, environment and advanced functional materials. The N-alkylation of chitosan into N,N,N-trimethylchitosan (TMC) allows to improve some properties. The current quantification methods of the degree of quaternization (DQ) like titration and 1H NMR spectroscopy require the solubilization of TMC. In this study, a solid-state 13C NMR quantification method was developed for insoluble TMCs. For this purpose, four TMC derivatives acting as reference were synthesized and their degrees of quaternization, N,N-dimethylation (DD) and acetylation (DA) were determined in solution by 1H NMR. CP-MAS 13C NMR spectra of those derivatives were deconvolved with Lorentz functions. Several ratios of the 13C NMR peak areas were correlated with the degrees of substitution obtained in 1H NMR. The best quantification method of DQ involved the correlation of the carbon signal of methyl groups. The method was also applied for the determination of the DD and DA of TMCs.

A comprehensive quality control evaluation for standard decoction of Smilax glabra Roxb based on HPLC-MS-UV/CAD methods combined with chemometrics analysis and network pharmacology.

An effective, sensitive, and rapid method was developed for the quality control evaluation of the standard decoction of Smilax glabra Roxb (SGR). SGR is a primary ingredient of the traditional functional foods of turtle jelly and SGR tea. Chemometrics, Network Pharmacology, and molecular docking were used to screen for six quality markers. Multiple extraction parameters were optimized. HPLC-UV/CAD-QAMS was used to rapidly quantify the six quality markers (neoastilbin, astilbin, neoisoastilbin, isoastilbin, quercitrin, and isoengeletin) in 10 batches of the standard decoction of SGR samples. The relative correction factor (RCF) values of the five compounds were close to 1, demonstrating that the charged aerosol detection (CAD) showed a consistent response to compounds with similar parent nucleus structures. This method can serve as a guide for rapid quantitative analysis of the multi-components of the SGR standard decoction and all the traditional functional foods of turtle jelly with the homology of medicine.

Nuclear Magnetic Resonance Spectroscopy for Quantitative Analysis: A Review for Its Application in the Chemical, Pharmaceutical and Medicinal Domains.

Nuclear magnetic resonance (NMR) is a rapid and accurate analytical tool for qualification and quantification. The capacity of NMR of being quantitative can also justify the calibration of other analytical methods. In pharmaceutical domain, quantitative NMR (qNMR) can be applied in the identification and quantification of drug simultaneously. The early drug development stage requires a minimum sample for analysis. Thus, priority should be given to utilize this technique to attain results with least investment, rapid analysis time and minimum sample consumption. This technique is a significant phenomenon to identify impurities, drug substance, residual solvents of in-process control (IPC) samples and characterizing the formulations. From an analyst's perspective, qNMR proved to be a routine practice in pharmaceutical industry to qualify any drug product. The absolute and relative methods offer great help in quantifying the component of interest in the process control samples and finished products. This review highlights the evolution of NMR application in the pharmaceutical industry, where determining the purity of drug substance, drug product and establishing the identity of impurities and its level are the challenging aspects. NMR in medicinal field emerging as a numero uno for Covid-19 severity detection and its dire consequences, accelerated vaccine development and the mapping of SAR-COV-2 RNA and proteins via chemical shift assignments.

Disease progression model using the integrated Alzheimer's Disease Rating Scale.

INTRODUCTION: An Alzheimer's disease (AD) dementia disease progression model was developed based on the integrated Alzheimer's Disease Rating Scale (iADRS). METHODS: Data from 3483 placebo participants in six AD trials were used to develop the disease progression model with NONMEM (version 7.4.2) and examined for mild cognitive impairment, and mild and moderate dementia due to AD. RESULTS: Baseline iADRS score was significantly influenced by AD symptomatic medication use, EXPEDITION2 enrollment (included moderate AD participants), age, and baseline Mini-Mental State Examination (MMSE) score. Rate of disease progression increased across disease stage and was significantly influenced by AD medication use, age, and baseline MMSE score. Apolipoprotein E ε4 carrier status did not influence baseline iADRS score or disease progression. DISCUSSION: These results demonstrate a disease progression model describing the time course of the iADRS across the AD severity spectrum. This model can assist future clinical trials in study design optimization and treatment effect interpretation. HIGHLIGHTS: A disease progression model described the integrated Alzheimer's Disease Rating Scale (iADRS) time course in mild cognitive impairment to moderate Alzheimer's disease. Using the linear regression model, iADRS scores can be calculated for Mini-Mental State Examination scores. Results can help optimize future clinical trial design and aid in understanding treatment effects.

Advanced methods and implementations for the meta-analyses of animal models: Current practices and future recommendations.

Meta-analytic techniques have been widely used to synthesize data from animal models of human diseases and conditions, but these analyses often face two statistical challenges due to complex nature of animal data (e.g., multiple effect sizes and multiple species): statistical dependency and confounding heterogeneity. These challenges can lead to unreliable and less informative evidence, which hinders the translation of findings from animal to human studies. We present a literature survey of meta-analysis using animal models (animal meta-analysis), showing that these issues are not adequately addressed in current practice. To address these challenges, we propose a meta-analytic framework based on multilevel (linear mixed-effects) models. Through conceptualization, formulations, and worked examples, we illustrate how this framework can appropriately address these issues while allowing for testing new questions. Additionally, we introduce other advanced techniques such as multivariate models, robust variance estimation, and meta-analysis of emergent effect sizes, which can deliver robust inferences and novel biological insights. We also provide a tutorial with annotated R code to demonstrate the implementation of these techniques.

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification.

Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China's coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO2 emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China's current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and the R 2 increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO2 emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO2 emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants. Electronic Supplementary Material: Supplementary material is available in the online version of this article at 10.1007/s11783-023-1608-1 and is accessible for authorized users.

Effect of neonatal reticulocytosis on glucose 6-phosphate dehydrogenase (G6PD) activity and G6PD deficiency detection: a cross-sectional study.

BACKGROUND: Screening for G6PD deficiency in newborns can help prevent severe hemolysis, hyperbilirubinemia, and bilirubin encephalopathy, as recommended by the World Health Organization (WHO). It has been speculated that the presence of a high number of reticulocytes in newborns interferes with the diagnosis of G6PD deficiency since reticulocytes contain higher amounts of G6PD enzyme than mature erythrocytes. Therefore, the purposes of this study were to assess the effect of reticulocytosis in the determination of blood G6PD activity in Thai newborns by using a novel automated UV-based enzymatic assay and to validate the performance of this assay for the detection of G6PD deficiency in newborn samples. METHODS: The levels of reticulocytes and G6PD activity were measured in blood samples collected from 1,015 newborns. G6PD mutations were identified using TaqMan® SNP genotyping assay, PCR-restriction fragment length polymorphism (PCR-RFLP), and direct sequencing. The correlation between the levels of reticulocytes and G6PD activity was examined. The performance of the automated method was compared with that of the fluorescent spot test (FST) and the standard quantitative assay. RESULTS: The automated assay detected G6PD deficiency in 6.5% of the total newborn subjects compared to 5.3% and 6.1% by the FST and the standard method, respectively. The minor allele frequencies (MAFs) of G6PD ViangchanG871A, G6PD MahidolG487A, and G6PD UnionC1360T were 0.066, 0.005, and 0.005, respectively. The reticulocyte counts in newborns with G6PD deficiency were significantly higher than those in normal male newborns (p < 0.001). Compared with normal newborns after controlling for thalassemias and hemoglobinopathies, G6PD-deficient patients with the G6PD ViangchanG871A mutation exhibited elevated reticulocyte counts (5.82 ± 1.73%, p < 0.001). In a group of G6PD normal newborns, the percentage of reticulocytes was positively correlated with G6PD activity (r = 0.327, p < 0.001). However, there was no correlation between G6PD activity and the levels of reticulocytes in subjects with G6PD deficiency (r = -0.019, p = 0.881). The level of agreement in the detection of G6PD deficiency was 0.999, while the area under the receiver operating characteristic (AUC) curve demonstrated that the automated method had 98.4% sensitivity, 99.5% specificity, 92.4% positive predictive value (PPV), 99.9% negative predictive value (NPV), and 99.4% accuracy. CONCLUSIONS: We report that reticulocytosis does not have a statistically significant effect on the detection of G6PD deficiency in newborns by both qualitative and quantitative methods.