Assessing the Relationship between Radiology Department Research Funding and Institutional Community Inclusion and Investment.

Background Health care access disparities and lack of inclusion in clinical research have been well documented for marginalized populations. However, few studies exist examining the research funding of institutions that serve historically underserved groups. Purpose To assess the relationship between research funding awarded to radiology departments by the National Institutes of Health (NIH) and Lown Institute Hospitals Index rankings for inclusivity and community benefit. Materials and Methods This retrospective study included radiology departments awarded funding from the NIH between 2017 and 2021. The 2021 Lown Institute Hospitals Index rankings for inclusivity and community benefit were examined. The inclusivity metric measures how similar a hospital's patient population is to the surrounding community in terms of income, race and ethnicity, and education level. The community benefit metric measures charity care spending, Medicaid as a proportion of patient revenue, and other community benefit spending. Linear regression and Pearson correlation coefficients (r values) were used to evaluate the relationship between aggregate NIH radiology department research funding and measures of inclusivity and community benefit. Results Seventy-five radiology departments that received NIH funding ranging from $195 000 to $216 879 079 were included. A negative correlation was observed between the amount of radiology department research funding received and institutional rankings for serving patients from racial and/or ethnic minorities (r = -0.34; P < .001), patients with low income (r = -0.44; P < .001), and patients with lower levels of education (r = -0.46; P < .001). No correlation was observed between the amount of radiology department research funding and institutional rankings for charity care spending (r = -0.19; P = .06), community investment (r = -0.04; P = .68), and Medicaid as a proportion of patient revenue (r = -0.10; P = .22). Conclusion Radiology departments that received more NIH research funding were less likely to serve patients from racial and/or ethnic minorities and patients who had low income or lower levels of education. © RSNA, 2024 See also the editorial by Mehta and Rosen in this issue.

In Silico Comparison of Bioactive Compounds Characterized from Azadirachta indica with an FDA-Approved Drug against Schistosomal Agents: New Insight into Schistosomiasis Treatment.

The burden of human schistosomiasis, a known but neglected tropical disease in Sub-Saharan Africa, has been worrisome in recent years. It is becoming increasingly difficult to tackle schistosomiasis with praziquantel, a drug known to be effective against all Schistosoma species, due to reports of reduced efficacy and resistance. Therefore, this study seeks to investigate the antischistosomal potential of phytochemicals from Azadirachta indica against proteins that have been implicated as druggable targets for the treatment of schistosomiasis using computational techniques. In this study, sixty-three (63) previously isolated and characterized phytochemicals from A. indica were identified from the literature and retrieved from the PubChem database. In silico screening was conducted to assess the inhibitory potential of these phytochemicals against three receptors (Schistosoma mansoni Thioredoxin glutathione reductase, dihydroorotate dehydrogenase, and Arginase) that may serve as therapeutic targets for schistosomiasis treatment. Molecular docking, ADMET prediction, ligand interaction, MMGBSA, and molecular dynamics simulation of the hit compounds were conducted using the Schrodinger molecular drug discovery suite. The results show that Andrographolide possesses a satisfactory pharmacokinetic profile, does not violate the Lipinski rule of five, binds with favourable affinity with the receptors, and interacts with key amino acids at the active site. Importantly, its interaction with dihydroorotate dehydrogenase, an enzyme responsible for the catalysis of the de novo pyrimidine nucleotide biosynthetic pathway rate-limiting step, shows a glide score and MMGBSA of -10.19 and -45.75 Kcal/mol, respectively. In addition, the MD simulation shows its stability at the active site of the receptor. Overall, this study revealed that Andrographolide from Azadirachta indica could serve as a potential lead compound for the development of an anti-schistosomal drug.

Psychological Distress and its Association With Job Satisfaction Among Hospital Pharmacists in Vietnam.

Background: No previous studies have examined the relationship between stress, anxiety, and depression among pharmacists in Vietnam. Objectives: This study aims to investigate the correlation between stress, anxiety, depression, and job satisfaction among hospital pharmacists in Vietnam. Methods: The study comprised a 12-month cross-sectional survey in Can Tho City, Vietnam, with 11 conveniently selected hospitals. Out of 305 the distributed questionnaires, 303 were completed (99.3% response rate). The 21-item depression, anxiety, and stress scale (DASS-21) assessed stress, anxiety, and depression (21 items), while job satisfaction was measured using a 44-item questionnaire. Results: The study revealed a prevalence of 15.5% for stress, 27.1% for anxiety, and 20.5% for depression among hospital staff. Additionally, the majority of hospital staff (72.9%) reported being satisfied with their job. Those with more than 2 children (95% CI = 1.183-14.519) were nearly 4 times as likely to experience higher stress. Female respondents (95% CI = 1.34-5.92) and those who rented (95% CI = 1.05-3.55) were more likely to encounter anxiety. Those living outside Can Tho City (95% CI = 1.32-9.88) were at a 3.61 times higher risk of depression, while individuals who had been working at the hospital for 5 to 10 years (95% CI = 0.17-0.82) had a lower risk of depression. Increased depression (aOR = 0.441; 95% CI = 0.21-0.94) was linked to job dissatisfaction. Conclusion: Depression was significantly associated with job dissatisfaction. The study findings suggest that management agencies should implement prevention and intervention strategies to reduce mental health issues among hospital pharmacists.

An in-vitro evaluation of antifungal, anti-lungcancer (A549), and anti-hyperglycemic activities potential of Andrographis paniculata (Burm. f.) flower extract.

The medical plant research has received more attention among researchers especially after the Covid-19 pandemic. This research performed to evaluate the antifungal, anti-lung cancer (A549), and anti-hyperglycemic activities of aqueous extract of Andrographis paniculata flower. Interestingly, A. paniculata flower aqueous extract contains pharmaceutically valuable phytochemicals such as alkaloid, phenolics, terpenoids, tannins, flavonoids, and protein. It also showed fine antifungal activity against test fungal pathogens in the following order as: Aspergillus niger > Fusarium solani > Trichoderma harzianum > A. parasiticus > P. expansum > Penicillium janthinellum with lowest MIC values as ranged from 100 to 300 µg mL-1. Interestingly, this aqueous extract also showed considerable anti-lung cancer activity, evidenced by dose and time dependent lung cancer cell line (A549) growth/proliferation inhibition/cytotoxicity activity (65%) at 300 µg mL-1 concentration. This can be achieved by plant extract through inducing the secretion of apoptosis related proteins such as TNF α, IFN-γ, and interleukin 2 leads to apoptosis in A549 cells. It also showed fine anti-diabetic activity by inhibiting α -amylase (58.41%) than α-glucosidase (54.74%) at 200 µg mL-1 concentration. The UV as well as FTIR results demonstrated that the aqueous extract of A. paniculata flower contains pharmaceutically valuable bioactive compounds, which may be responsible for the wide range of biomedical applications.

Telepharmacy: A Systematic Review of Field Application, Benefits, Limitations, and Applicability During the COVID-19 Pandemic.

Introduction: Telepharmacy is widely known as the delivery of pharmacy care offered by registered pharmacists and pharmacies using telecommunication technologies to patients at a distance. We conducted a systematic review of the reported usages, benefits, and limitations of telepharmacy models worldwide to further clarify the pros and cons of a telepharmacy model. Methods: A total of 39 relevant articles was included after searching for articles with a fixed term on four databases, including PubMed, Virtual Health Library (VHL), Global Health Library (GHL), and Google Scholar, as of April 2021. Results: Our review suggested that telepharmacy has played an essential role in addressing pharmacist shortages and helping patients both safely and effectively administer medications in underserved areas. During the COVID-19 pandemic, remote dispensing and counseling are effective measures to avoid infection. Conclusion: Telepharmacy could potentially replace or complement pharmaceutical-related activities, facilitating future innovation in the health care industry.

Optimizing Meropenem in Highly Resistant Klebsiella pneumoniae Environments: Population Pharmacokinetics and Dosing Simulations in Critically Ill Patients.

Critically ill patients are characterized by substantial pathophysiological changes that alter the pharmacokinetics (PK) of hydrophilic antibiotics, including carbapenems. Meropenem is a key antibiotic for multidrug-resistant Gram-negative bacilli, and such pathophysiological alterations can worsen treatment outcomes. This study aimed to determine the population PK of meropenem and to propose optimized dosing regimens for the treatment of multidrug-resistant Klebsiella pneumoniae in critically ill patients. Two plasma samples were collected from eligible patients over a dosing interval. Nonparametric population PK modeling was performed using Pmetrics. Monte Carlo simulations were applied to different dosing regimens to determine the probability of target attainment and the cumulative fraction of response, taking into account the local MIC distribution for K. pneumoniae. The targets of 40% and 100% for the fraction of time that free drug concentrations remained above the MIC (ƒT>MIC) were tested, as suggested for critically ill patients. A one-compartment PK model using data from 27 patients showed high interindividual variability. Significant PK covariates were the 8-h creatinine clearance for meropenem and the presence of an indwelling catheter for pleural, abdominal, or cerebrospinal fluid drainage for the meropenem volume of distribution. The target 100% ƒT>MIC for K. pneumoniae, with a MIC of ≤2 mg/liter, could be attained by the use of a continuous infusion of 2.0 g/day. Meropenem therapy in critically ill patients could be optimized for K. pneumoniae isolates with an MIC of ≤2 mg/liter by using a continuous infusion in settings with more than 50% isolates have a MIC of ≥32mg/L.

Plant resistance to disease: Using biochar to inhibit harmful microbes and absorb nutrients.

Phytosanitary concerns are part of today's agricultural environment. The use of chemicals to treat plant diseases is both a source of pollution and allows pathogens to become resistant. Additionally, it can improve the chemical, physical, and biological properties of soil. Therefore, the soil environment is more conducive to healthy plant growth. By improving the chemical, physical, and biological attributes of soil, biochar can enhance plant resistance. Agricultural success has been attributed to biochar's acidic pH, which promotes beneficial soil microorganisms and increases soil nutrients; it is also porous, which provides a home and protects soil microorganisms. By improving soil properties, biochar becomes even more effective at controlling pathogens. The article also discusses the benefits of biochar for managing pathogens in agricultural soils. In addition, we examine several research papers that discuss the use of biochar as a method of combating soil-related pathogens and plant diseases. Biochar can be used to combat soil-borne diseases and other conditions.

Predicting mortality in intensive care unit patients infected with Klebsiella pneumoniae: A retrospective cohort study.

INTRODUCTION: Although several models to predict intensive care unit (ICU) mortality are available, their performance decreases in certain subpopulations because specific factors are not included. Moreover, these models often involve complex techniques and are not applicable in low-resource settings. We developed a prediction model and simplified risk score to predict 14-day mortality in ICU patients infected with Klebsiella pneumoniae. METHODOLOGY: A retrospective cohort study was conducted using data of ICU patients infected with Klebsiella pneumoniae at the largest tertiary hospital in Northern Vietnam during 2016-2018. Logistic regression was used to develop our prediction model. Model performance was assessed by calibration (area under the receiver operating characteristic curve-AUC) and discrimination (Hosmer-Lemeshow goodness-of-fit test). A simplified risk score was also constructed. RESULTS: Two hundred forty-nine patients were included, with an overall 14-day mortality of 28.9%. The final prediction model comprised six predictors: age, referral route, SOFA score, central venous catheter, intracerebral haemorrhage surgery and absence of adjunctive therapy. The model showed high predictive accuracy (AUC = 0.83; p-value Hosmer-Lemeshow test = 0.92). The risk score has a range of 0-12 corresponding to mortality risk 0-100%, which produced similar predictive performance as the original model. CONCLUSIONS: The developed prediction model and risk score provide an objective quantitative estimation of individual 14-day mortality in ICU patients infected with Klebsiella pneumoniae. The tool is highly applicable in practice to help facilitate patient stratification and management, evaluation of further interventions and allocation of resources and care, especially in low-resource settings where electronic systems to support complex models are missing.

Willingness of Healthcare Students in Vietnam to Volunteer During the COVID-19 Pandemic.

Healthcare students play an important role in volunteering activity, often addressing staff shortages. However, during the COVID-19 pandemic, the willingness of students to volunteer in contribution to the pandemic response, especially in Vietnam, has not been thoroughly investigated. This study aimed to determine the prevalence of and factors associated with the willingness of healthcare students to volunteer during the COVID-19 pandemic in Vietnam. For this, an online cross-sectional survey was conducted, between June 7th and July 6th, 2021, among healthcare students from 10 fields of study at the largest public university of medicine and pharmacy in the Mekong Delta, Vietnam. Of 2032 respondents, 1473 (72.5%) reported that they would be willing to volunteer during the COVID-19 pandemic. More than half of the students reported having a desire to volunteer in non-patient contact activities such as data entry (65.9%) and logistics (57.7%). Whereas less than 50% of the participants were willing to volunteer with activities involving patients. Year of education, study field, educational format, living arrangements, health status self-perception, chronic illness possession, COVID-19 fear level, past volunteering experience in non-healthcare sectors, and COVID-19 prevention and control training course attendance were all associated with a willingness to volunteer. The strongest barriers preventing volunteering included fear for the health of their family and lack of training/knowledge. Conclusively, healthcare students reported a high level of willingness, indicating a positive attitude toward responding to the COVID-19 pandemic. Adequate training should be employed to increase the willingness among healthcare students in Vietnam.

Combined Gap-Polymerase Chain Reaction and Targeted Next-Generation Sequencing Improve α- and ß-Thalassemia Carrier Screening in Pregnant Women in Vietnam.

Vietnam has a high thalassemia burden. We collected blood samples from 5880 pregnant Vietnamese women during prenatal health checks to assess thalassemia carrier frequency using combined gap-polymerase chain reaction (gap-PCR) and targeted next-generation sequencing (NGS). Thalassemia carriers were identified with prevalence of 13.13% (772), including 7.82% (460) carriers of α-thalassemia (α-thal), 5.31% (312) carriers of ß-thalassemia (ß-thal), and 0.63% (37) concurrent α-/ß-thal carriers. Deletional mutations (368) accounted for 80.0% of α-thal carriers, of which, --SEA (Southeast Asian) (n = 254; 55.0%) was most prevalent, followed by the -α3.7 (rightward) (n = 66; 14.0%) and -α4.2 (leftward) (n = 45; 9.8%) deletions. Hb Westmead (HBA2: c.369C>G) (n = 53) and Hb Constant Spring (Hb CS or HBA2: c.427T>C) (in 28) are the two most common nondeletional α-globin variants, accounting for 11.5 and 6.0% of α-thal carriers. We detected 11 different ß-thal genotypes. Hb E (HBB: c.79G>A) (in 211) accounted for 67.6% of ß-thal carriers. The most common ß-thal genotypes were associated with mutations at codon 17 (A>T) (HBB: c.52A>T), codons 41/42 (-TTCT) (HBB: c.126_129delCTTT), and codon 71/72 (+A) (HBB: c.217_218insA) (prevalence 0.70%, 0.68%, and 0.2%, respectively). Based on mutation frequencies calculated in this study, estimates of 5021 babies in Vietnam are affected with clinically severe thalassemia annually. Our data suggest a higher thalassemia carrier frequency in Vietnam than previously reported. We established that combining NGS with gap-PCR creates an effective large-scale thalassemia screening method that can detect a broad range of mutations.

Genetic landscape of recessive diseases in the Vietnamese population from large-scale clinical exome sequencing.

Accurate profiling of population-specific recessive diseases is essential for the design of cost-effective carrier screening programs. However, minority populations and ethnic groups, including Vietnamese, are still underrepresented in existing genetic studies. Here, we reported the first comprehensive study of recessive diseases in the Vietnamese population. Clinical exome sequencing data of 4503 disease-associated genes obtained from a cohort of 985 Vietnamese individuals was analyzed to identify pathogenic variants, associated diseases and their carrier frequencies in the population. A total of 118 recessive diseases associated with 164 pathogenic or likely pathogenic variants were identified, among which 28 diseases had carrier frequencies of at least 1% (1 in 100 individuals). Three diseases were prevalent in the Vietnamese population with carrier frequencies of 2-12 times higher than in the world populations, including beta-thalassemia (1 in 23), citrin deficiency (1 in 31), and phenylketonuria (1 in 40). Seven novel pathogenic and two likely pathogenic variants associated with nine recessive diseases were discovered. The comprehensive profile of recessive diseases identified in this study enables the design of cost-effective carrier screening programs specific to the Vietnamese population.

Highly Functional Materials Based on Nano-Lignin, Lignin, and Lignin/Silica Hybrid Capped Silver Nanoparticles with Antibacterial Activities.

Rice husk is one of the most abundant biomass resources in the world, yet it is not effectively used. This study focuses on the sustainably rice-husk-extracted lignin, nano-lignin (n-Lignin), lignin-capped silver nanoparticles (LCSN), n-Lignin-capped silver nanoparticles (n-LCSN), and lignin-capped silica-silver nanoparticles (LCSSN), and using them for antibacterial activities. The final n-Lignin-based products had a sphere-like structure, of which the size varied between 50 and 80 nm. We found that while n-Lignin and lignin were less effective against Escherichia coli than against Staphylococcus aureus, n-Lignin/lignin-based hybrid materials, i.e., n-LCSN, LCSN, and LCSSN, were better against E. coli than against S. aureus. Interestingly, the antimicrobial behaviors of n-LCSNs could be further improved by decreasing the size of n-Lignin. Considering the facile, sustainable, and eco-friendly method that we have developed here, it is promising to use n-Lignin/lignin-based materials as highly efficient antimicrobials without environmental concerns.

Development of a Spatial Decision Support System for Real-Time Flood Early Warning in the Vu Gia-Thu Bon River Basin, Quang Nam Province, Vietnam.

Vu Gia-Thu Bon (VGTB) river basin is an area where flash flood and heavy flood events occur frequently, negatively impacting the local community and socio-economic development of Quang Nam Province. In recent years, structural and non-structural solutions have been implemented to mitigate damages due to floods. However, under the impact of climate change, natural disasters continue to happen unpredictably day by day. It is, therefore, necessary to develop a spatial decision support system for real-time flood warnings in the VGTB river basin, which will support in ensuring the area's socio-economic development. The main purpose of this study is to develop an online flood warning system in real-time based on Internet-of-Things (IoT) technologies, GIS, telecommunications, and modeling (Soil and Water Assessment Tool (SWAT) and Hydrologic Engineering Center's River Analysis System (HEC-RAS)) in order to support the local community in the vulnerable downstream areas in the event of heavy rainfall upstream. The structure of the designed system consists of these following components: (1) real-time hydro-meteorological monitoring network, (2) IoT communication infrastructure (Global System for Mobile Communications (GSM), General Packet Radio Service (GPRS), wireless networks), (3) database management system (bio-physical, socio-economic, hydro-meteorological, and inundation), (4) simulating and predicting model (SWAT, HEC-RAS), (5) automated simulating and predicting module, (6) flood warning module via short message service (SMS), (7) WebGIS, application for providing and managing hydro-meteorological and inundation data, and (8) users (citizens and government officers). The entire operating processes of the flood warning system (i.e., hydro-meteorological data collecting, transferring, updating, processing, running SWAT and HEC-RAS, visualizing) are automated. A complete flood warning system for the VGTB river basin has been developed as an outcome of this study, which enables the prediction of flood events 5 h in advance and with high accuracy of 80%.

MicroRNA dysregulational synergistic network: discovering microRNA dysregulatory modules across subtypes in non-small cell lung cancers.

BACKGROUND: The majority of cancer-related deaths are due to lung cancer, and there is a need for reliable diagnostic biomarkers to predict stages in non-small cell lung cancer cases. Recently, microRNAs were found to have potential as both biomarkers and therapeutic targets for lung cancer. However, some of the microRNA's functions are unknown, and their roles in cancer stage progression have been mostly undiscovered in this clinically and genetically heterogeneous disease. As evidence suggests that microRNA dysregulations are implicated in many diseases, it is essential to consider the changes in microRNA-target regulation across different lung cancer subtypes. RESULTS: We proposed a pipeline to identify microRNA synergistic modules with similar dysregulation patterns across multiple subtypes by constructing the MicroRNA Dysregulational Synergistic Network. From the network, we extracted microRNA modules and incorporated them as prior knowledge to the Sparse Group Lasso classifier. This leads to a more relevant selection of microRNA biomarkers, thereby improving the cancer stage classification accuracy. We applied our method to the TCGA Lung Adenocarcinoma and the Lung Squamous Cell Carcinoma datasets. In cross-validation tests, the area under ROC curve rate for the cancer stages prediction has increased considerably when incorporating the learned microRNA dysregulation modules. The extracted modules from multiple independent subtypes differential analyses were found to have high agreement with microRNA family annotations, and they can also be used to identify mutual biomarkers between different subtypes. Among the top-ranked candidate microRNAs selected by the model, 87% were reported to be related to Lung Adenocarcinoma. The overall result demonstrates that clustering microRNAs from the dysregulation pattern between microRNAs and their targets leads to biomarkers with high precision and recall rate to known differentially expressed disease-associated microRNAs. CONCLUSIONS: The results indicated that our method improves microRNA biomarker selection by detecting similar microRNA dysregulational synergistic patterns across the multiple subtypes. Since microRNA-target dysregulations are implicated in many cancers, we believe this tool can have broad applications for discovery of novel microRNA biomarkers in heterogeneous cancer diseases.

Cephalosporin-resistant Escherichia coli isolated from farm workers and pigs in northern Vietnam.

OBJECTIVE: Antimicrobial-resistant bacteria may be transmitted between farm workers and livestock. This study aimed to determine and compare the prevalence and the genetic determinants of cefotaxime-resistant and ESBL-producing Escherichia coli in faecal isolates from workers and pigs at 100 farms in northern Vietnam. METHODS: Farmers were interviewed about antimicrobial usage in livestock. Escherichia coli isolated on MacConkey agar containing 2 mg/l of cefotaxime (CTX) were tested for susceptibility to different cephalosporins by disc diffusion and screened for occurrence of ESBL-encoding genes by PCR. RESULTS: Antimicrobial usage was widespread and included classes regarded of critical or high importance in human medicine. Dosages were 0.5-2 times higher than recommended, and antimicrobials were often administered right until slaughter. Prevalence of CTX-resistant E. coli was 86% in farm workers and 89% in pigs. In 76% of farms, CTX-resistant E. coli were shared by pigs and farm workers. ESBL-producing E. coli were detected from pigs and workers at 66 and 69 farms, respectively. The ESBL phenotype was mainly mediated by CTX-M and to a lesser extent by TEM. Occurrence of blaCTX-M was similar in E. coli from pigs (66.7%) and humans (68.5%). CONCLUSION: The high occurrence of ESBL-producing E. coli in pig farmers and pigs could present a risk for spillover of these bacteria from pig farms into the community. Genomic studies are needed to elucidate reservoirs and transmission routes of ESBL-producing E. coli at livestock farms.

L-Citrulline Supplementation Enhances Fetal Growth and Protein Synthesis in Rats with Intrauterine Growth Restriction.

BACKGROUND: Intrauterine growth restriction (IUGR) results from either maternal undernutrition or impaired placental blood flow, exposing offspring to increased perinatal mortality and a higher risk of metabolic syndrome and cardiovascular disease during adulthood. l-Citrulline is a precursor of l-arginine and nitric oxide (NO), which regulates placental blood flow. Moreover, l-citrulline stimulates protein synthesis in other models of undernutrition. OBJECTIVE: The aim of the study was to determine whether l-citrulline supplementation would enhance fetal growth in a model of IUGR induced by maternal dietary protein restriction. METHODS: Pregnant rats were fed either a control (20% protein) or a low-protein (LP; 4% protein) diet. LP dams were randomly allocated to drink tap water either as such or supplemented with l-citrulline (2 g · kg(-1) · d(-1)), an isonitrogenous amount of l-arginine, or nonessential l-amino acids (NEAAs). On day 21 of gestation, dams received a 2-h infusion of l-[1-(13)C]-valine until fetuses were extracted by cesarean delivery. Isotope enrichments were measured in free amino acids and fetal muscle, liver, and placenta protein by GC-mass spectrometry. RESULTS: Fetal weight was ∼29% lower in the LP group (3.82 ± 0.06 g) than in the control group (5.41 ± 0.10 g) (P < 0.001). Regardless of supplementation, fetal weight remained below that of control fetuses. Yet, compared with the LP group, l-citrulline and l-arginine equally increased fetal weight to 4.15 ± 0.08 g (P < 0.05) and 4.13 ± 0.1 g (P < 0.05 compared with LP), respectively, whereas NEAA did not (4.05 ± 0.05 g; P = 0.07). Fetal muscle protein fractional synthesis rate was 35% lower in the LP fetuses (41% ± 11%/d) than in the control (61% ± 13%/d) fetuses (P < 0.001) and was normalized by l-citrulline (56% ± 4%/d; P < 0.05 compared with LP, NS compared with control) and not by other supplements. Urinary nitrite and nitrate excretion was lower in the LP group (6.4 ± 0.8 µmol/d) than in the control group (17.9 ± 1.1 µmol/d; P < 0.001) and increased in response to l-citrulline or l-arginine (12.1 ± 2.2 and 10.6 ± 0.9 µmol/d; P < 0.05), whereas they did not in the LP + NEAA group. CONCLUSION: l-Citrulline increases fetal growth in a model of IUGR, and the effect may be mediated by enhanced fetal muscle protein synthesis and/or increased NO production.

Gender and age differences in KDIGO treatment targets among people on maintenance hemodialysis: Findings from a tertiary hospital in Vietnam.

Age and gender are 2 important factors in the treatment of end-stage chronic kidney disease with hemodialysis. Understanding the influence of these 2 factors can help optimize treatment for this population. This study evaluated gender and age differences in achievement of Kidney Disease Improving Global Outcomes (KDIGO) treatment targets. A cross-sectional study was conducted on 324 chronic hemodialysis patients at a tertiary referral hospital in Ho Chi Minh City, Vietnam. KDIGO treatment targets included treatment time, prescribed Qb, treated blood volume, urea reduction ratio, spKt/V, hemoglobin, albumin, phosphorus, calcium, and parathyroid hormone. Men had significantly higher treatment time (P = .003), prescribed Qb (P = .037) and hemoglobin (P = .031) than women. However, women had significantly higher treated blood volume (P < .001), spKt/V (P < .001) and URR (P < .001). No significant difference between men and women was found in albumin, calcium, phosphorus, and parathyroid hormone. Based on KDIGO treatment targets, women had a significantly higher rate of achievement of spKt/V > 1.2 (91.4% vs 80.7%, P = .005) and URR ≥ 70% (77.0% vs 54.7%, P < .001) than men. A significantly higher rate of treated volume of ≥ 1 L/kg/BW, and phosphorus 2.5 to 4.6 mg/dL was found in women (90.0% and 40.2%) compared to men (68.7% and 27.3%). In contrast, men had a significantly higher rate of prescribed Qb ≥ 300 mL/min (26.7% vs 12.6%, P = .001), albumin ≥ 40 g/L (36.7% vs 26.4%, P = .047), and Hb > 12 g/dL (22.0% vs 11.5%, P = .011) than women. There was no significant difference between men and women in the rate of calcium 8.4 to 10.4 mg/dL, and parathyroid hormone 150 to 600 pg/mL. These differences were not the same across 4 age categories (<60, 60-69, 70-79, and ≥ 80). Most of the differences above were among patients aged < 60 and 60 to 69 years. Although men had higher satisfactory treatment parameters than women, based on KDIGO treatment targets, women received hemodialysis more effectively than men. Treatment targets for patients on hemodialysis should consider gender and age differences.

Prognosis value of heart rate variability measured by Camera HRV application in patients after acute myocardial infarction.

A prospective cohort study was conducted to assess the prognostic significance of heart rate variability (HRV) measured by the HRV Camera application in predicting major adverse cardiovascular events (MACE) and all-cause mortality within 3 months after percutaneous coronary intervention (PCI). Of 101 patients, 25 developed MACE and 6 died. Low HRV (SDNN and rMSSD) is associated with increased MACE (p < 0.001 and p = 0.014, respectively) and all-cause mortality rates (p = 0.025 and p = 0.032, respectively). Our study concludes that HRV measured by smartphone applications has significant potential as predictive indicators of MACE and all-cause mortality after PCI, particularly SDNN.