Associations Between Hypertension, Angiotensin-Converting Enzyme Inhibitors, and Physical Performance in Very Old Adults: Results from the ilSIRENTE Study.

BACKGROUND: Results regarding the associations between hypertension-related parameters and physical performance in older adults are conflicting. A possible explanation for these divergent results is that investigations may not have adjusted their analyses according to the use of angiotensin-converting enzyme inhibitors (ACEIs). OBJECTIVES: To examine the associations between hypertension-related parameters, ACEI use, and a set of physical performance tests in very old adults. DESIGN: Cross-sectional study from the ilSIRENTE database. SETTING: Mountain community of the Sirente geographic area (L'Aquila, Abruzzo, Italy). PARTICIPANTS: All persons born in the Sirente area (13 municipalities) before 1 January 1924 and living in that region at the time of study were identified and invited to participate. The final sample included 364 older adults (mean age: 85.8 ± standard deviation [SD] 4.8). MEASUREMENTS: Physical performance was assessed using isometric handgrip strength (IHG), walking speed (WS) at normal and fast pace, 5-time sit-to-stand test (5STS), and muscle power measures. Blood pressure (BP) was measured after 20 to 40 min of rest, while participants sat in an upright position. Drugs were coded according to the Anatomical Therapeutic and Chemical codes. ACEIs were categorized in centrally (ACEI-c) and peripherally (ACEI-p) acting. Blood inflammatory markers, free insulin-like growth factor 1 (IGF-1), and IGF-binding protein 3 (IGFBP-3) were assayed. RESULTS: Results indicated that 5STS test was significantly and negatively associated with diastolic BP values. However, significance was lost when results were adjusted for ACEI use. Participants on ACEIs were more likely to have greater specific muscle power and higher blood levels of IGFBP-3 than non-ACEI users. When participants were categorized according to ACEI subtypes, those on ACEI-p had higher blood IGF-1 levels compared with ACEI-c users. CONCLUSIONS: The main findings of the present study indicate that ACEI use might influence the association between hypertension-related parameters and neuromuscular parameters in very old adults. Such results may possibly be linked to the effects of ACEI-p on the IGF-1 pathway.

Myocardial extracellular volume derived from contrast-enhanced chest computed tomography in longitudinal evaluation of cardiac toxicity in patients treated with immune checkpoint inhibitors.

Background: The immune-related adverse effects after immune checkpoint inhibitors (ICIs) treatment have always been a hot topic. Although the incidence of myocarditis is not high among the related adverse effects, the mortality rate is extremely high once it occurs. In the past, the risk of cancer therapy-related cardiac dysfunction (CTRCD) after drug treatment was evaluated based on imaging examinations, but this evaluation still had certain limitations. Currently, the extracellular volume (ECV) score measurement calculated using cardiac magnetic resonance T1 mapping has become a reliable method for evaluating myocardial toxicity and computed tomography (CT) examination may become an alternative. This study aimed to longitudinally evaluate the cardiac toxicity of patients treated with ICIs using myocardial ECV derived from contrast-enhanced chest CT. Methods: A total of 500 patients with III-IV lung cancer and esophageal cancer treated with ICIs were evaluated. Participants underwent baseline examination and at least 1 follow-up examination after treatment. Contrast-enhanced chest CT-ECV, left ventricular ejection fraction (LVEF), and measurement of cardiac troponin T (cTnT) were conducted before the first treatment, 3-6 months after the first treatment, and about 12 months after the first treatment, respectively. The ECV value of the middle part of the left ventricular septum was evaluated on CT venography and plain scan, the LVEF value was evaluated by color Doppler ultrasound, and the quantity of cTnT was detected by chemiluminescence. Cancer therapy-related cardiac dysfunction was recorded. Results: The mean baseline LVEF value was 68.51%±4.81% (N0=500), and those of LVEF1, LVEF2, and LVEF3 were 68.77%±4.30%, 68.16%±3.59%, and 66.23%±4.20%, respectively (N1=500, N2=467, and N3=361, respectively). There was no significant difference between LVEF1, LVEF2, and LVEF0 (P1=0.095, P2=0.062), whereas LVEF3 was significantly lower than LVEF0 (P<0.001). The average baseline cTnT0 value was 7.42±3.95 (N0=500). The values of cTnT1, cTnT2, and cTnT3 were 10.05±11.40, 12.24±13.59, and 14.54±14.49, respectively (N1=500, N2=467, N3=361). The values of cTnT1, cTnT2, and cTnT3 were significantly higher than cTnT0 (P1<0.001, P2<0.001, P3<0.001). The average ECV0 was 47.14%±7.48% (N0=500). ECV1, ECV2, and ECV3 were 50.85%±6.79%, 53.44%±6.96% and 52.64%±7.58% respectively (N1=500, N2=467 and N3=361). ECV1, ECV2, and ECV3 were significantly higher than ECV0 (P1<0.001, P2<0.001, P3<0.001). CTRCD occurred in 49 patients. There were significant differences between the CTRCD (+) group and the CTRCD (-) group in cTnT1, cTnT2, and cTnT3 (P1<0.001, P2<0.001, and P3<0.001, respectively) and in ECV1, ECV2, and ECV3 (P1=0.039, P2=0.041, and P3=0.013, respectively). Conclusions: CT-ECV began to increase at the early stage after the treatment of ICIs. CT-ECV is a potential biomarker for dynamically monitoring the cardiac toxicity of tumor patients after receiving ICIs. ECV may be used to speculate the CTRCD caused by the treatment of ICIs.

Police Use of Discretion in Encounters with People with Opioid Use Disorder: a Study of Illinois Police Officers.

Police frequently encounter people with opioid use disorder (OUD), having a profound effect on their risk environment and health outcomes. Officers retain significant discretionary authority in their response to these encounters. To explore the factors that underlie these decisions, we surveyed a sample of Illinois police officers. We administered an online survey to Illinois police departments using a random sampling strategy, stratified by agency size and the rurality of their service areas. Our final sample was 248 police officers from 27 departments. We surveyed officers' beliefs about (1) influences and control over their decision making; (2) the approval of other actors in making referrals to treatment for addiction, and (3) the potential impacts of medication-assisted treatment (MAT). We analyzed the survey data using descriptive statistics and regression analyses. Most officers were highly influenced by the expectations of their supervisors when responding to subjects who appeared to have an OUD, and about half would take direction from addiction treatment providers. Police in urban departments perceived greater support for MAT and were more likely to believe MAT could reduce the need for future arrests. Our findings suggest ways police officers can be influenced to make discretionary decisions that improve the health outcomes of their encounters with people with OUD: (1) Supervisors should serve as champions to promote referrals to treatment for substance use disorders; (2) collaboration between law enforcement and community addiction treatment providers should be strengthened, and (3) MAT should be supported and expanded in rural areas.

Current Status of Cognition and Clinical Practice of Refractory Cancer Pain in Shanghai: A Questionnaire Survey.

Purpose: This study aimed to assess the current status of clinical practice of refractory cancer pain (RCP) among a sample of physicians specializing in cancer pain management in Shanghai. Methods: From 2019 to 2021, a questionnaire survey was conducted among physicians engaged in diagnosis and treatment of cancer pain through the questionnaire WJX network platform in Shanghai, China. Results: A total of 238 responses participated in the survey. This survey reports physicians' understanding and incidence rate of breakthrough cancer pain (BTCP). The choice of analgesics and satisfaction of analgesic effect were investigated. We also investigated doctors' knowledge of the diagnostic criteria for RCP and their tendency to choose analgesics. Oral immediate-release morphine and intravenous or subcutaneous morphine injection have been the common treatment approach for transient cancer pain exacerbations. The main barriers to pain management are lack of standardized treatment methods for RCP, lack of knowledge related to RCP, and single drug dosage form. Doctors believe the most necessary measures to improve the current situation of poor cancer pain control include improving medical staff's understanding and treatment techniques for RCP, updating treatment techniques and methods, and improving the configuration of drug types in medical institutions. Clinicians expect to improve understanding and treatment techniques through systematic training. Conclusion: Despite multiple available analgesic measures, the treatment of RCP remains challenging. Improving the understanding of medical staff towards RCP, improving treatment techniques, and increasing the accessibility of multiple drug types are important ways to improve the satisfaction of cancer pain management in the future.

Effects of medication management in geriatric patients who have fallen: results of the EMMA mixed-methods study.

BACKGROUND: comprehensive medication management (CMM) can reduce medication-related risks of falling. However, knowledge about inter-individual treatment effects and patient-related barriers remains scarce. OBJECTIVE: to gain in-depth insights into how geriatric patients who have fallen view their medication-related risks of falling and to identify effects and barriers of a CMM in preventing falls. DESIGN: complementary mixed-methods pre-post study, based on an embedded quasi-experimental model. SETTING: geriatric fracture centre. METHODS: qualitative, semi-structured interviews framed the CMM intervention, including a follow-up period of 12 weeks. Interviews explored themes of falling, medication-related risks, post-discharge acceptability and sustainability of interventions using qualitative content analysis. Optimisation of pharmacotherapy was assessed via changes in the weighted and summated Medication Appropriateness Index (MAI) score, number of fall-risk-increasing drugs (FRID) and potentially inappropriate medications (PIM) according to the Fit fOR The Aged and PRISCUS lists using parametric testing. RESULTS: thirty community-dwelling patients aged ≥65 years, taking ≥5 drugs and admitted after an injurious fall were recruited. The MAI was significantly reduced, but number of FRID and PIM remained largely unchanged. Many patients were open to medication reduction/discontinuation, but expressed fear when it came to their personal medication. Psychosocial issues and pain increased the number of indications. Safe alternatives for FRID were frequently not available. Psychosocial burden of living alone, fear, lack of supportive care and insomnia increased after discharge. CONCLUSION: as patients' individual attitudes towards trauma and medication were not predictable, an individual and longitudinal CMM is required. A standardised approach is not helpful in this population.

Guideline for evaluating the effects of psychotropic drugs on motor vehicle driving performance in Japan: A tiered approach for the assessment of clinically meaningful driving impairment.

In December 2022, the Ministry of Health, Labour and Welfare (MHLW) of Japan issued and implemented the guideline for evaluating the effects of psychotropic drugs on motor vehicle driving performance. This guideline recommends the use of a tiered approach to assess clinically meaningful driving impairment. It is noted that adverse events cannot be solely explained by pharmacokinetics, as the onset and duration of these events vary. Among these adverse events, those affecting alertness, such as drowsiness caused by psychotropic drugs on driving performance, are more frequently observed during initial treatment stages and dose escalation. Hence, when evaluating the effects of psychotropic drugs on driving performance, it becomes crucial to assess the persistence of clinically meaningful impairment. Therefore, the MHLW guideline, developed by the authors, emphasizes the need to assess the temporal profile of adverse events affecting driving in all clinical trials. Additionally, the guideline states that when conducting driving studies, the timing of multiple dosing should consider not only the pharmacokinetics of the investigational drug but also its tolerance.

Potentials and future perspectives of multi-target drugs in cancer treatment: the next generation anti-cancer agents.

Cancer is a major public health problem worldwide with more than an estimated 19.3 million new cases in 2020. The occurrence rises dramatically with age, and the overall risk accumulation is combined with the tendency for cellular repair mechanisms to be less effective in older individuals. Conventional cancer treatments, such as radiotherapy, surgery, and chemotherapy, have been used for decades to combat cancer. However, the emergence of novel fields of cancer research has led to the exploration of innovative treatment approaches focused on immunotherapy, epigenetic therapy, targeted therapy, multi-omics, and also multi-target therapy. The hypothesis was based on that drugs designed to act against individual targets cannot usually battle multigenic diseases like cancer. Multi-target therapies, either in combination or sequential order, have been recommended to combat acquired and intrinsic resistance to anti-cancer treatments. Several studies focused on multi-targeting treatments due to their advantages include; overcoming clonal heterogeneity, lower risk of multi-drug resistance (MDR), decreased drug toxicity, and thereby lower side effects. In this study, we'll discuss about multi-target drugs, their benefits in improving cancer treatments, and recent advances in the field of multi-targeted drugs. Also, we will study the research that performed clinical trials using multi-target therapeutic agents for cancer treatment.

Association between lipid-lowering drugs and allergic diseases: A Mendelian randomization study.

Background: Several observational studies suggest a possible link between lipid-lowering drugs and allergic diseases. However, inferring causality from these studies can be challenging due to issues such as bias, reverse causation, and residual confounding. To investigate the potential causal effect of lipid-lowering drugs, proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors and 3-hydroxy-3-methyl-glutaryl-coenzyme A reductase (HMGCR) inhibitors, on allergic diseases (allergic asthma, allergic conjunctivitis, atopic dermatitis, allergic rhinitis, and allergic urticaria), we performed a Mendelian randomization (MR)-based study. Methods: We employed MR and summary-data-based MR (SMR), analyzing genome-wide association study (GWAS) data from people of European descent. Single nucleotide polymorphisms (SNPs) were employed as instrumental variables. We selected 2 types of genetic measures to represent the impact of lipid-lowering drugs, including genetic variants near or within drug target genes correlated with low-density lipoprotein cholesterol (LDL-C), and expression quantitative trait loci of drug target genes. The inverse-variance weighted (IVW)-MR approach was the primary utilized MR method, while sensitivity analyses were used to test the robustness of the results. We used SMR analysis as a supplementary analytical method, applying the heterogeneity in dependent instruments (HEIDI) test to assess if the observed correlation between gene expression and outcome was due to a linkage situation. Results: The IVW-MR analysis revealed significant evidence for an association between PCSK9-mediated LDL-C reduction and a decrease in the risk of allergic asthma (odds ratio [OR] = 1.31, 95% confidence interval [CI] = 1.11-1.56; P < 0.01). Likewise, SMR analysis discovered an augmented expression of PCSK9 being linked with a heightened susceptibility to allergic asthma (OR = 1.21, 95% CI = 1.03-1.43; P = 0.02). No consistent evidence was found for other associations in either analysis. Conclusion: Our findings support a potential causal relationship between PCSK9 activity and an increased risk of allergic asthma. Thus, PCSK9 inhibitors, which reduce PCSK9 activity, might be considered a priority in future clinical trials investigating drugs for allergic asthma prevention or treatment.

Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning.

Background and objectives: As microbes are developing resistance to antibiotics, natural, botanical drugs or traditional herbal medicine are presently being studied with an eye of great curiosity and hope. Hence, complementary and alternative treatments for uncomplicated pelvic inflammatory disease (uPID) are explored for their efficacy. Therefore, this study determined the therapeutic efficacy and safety of Sesamum indicum Linn seeds with Rosa damascena Mill Oil in uPID with standard control. Additionally, we analyzed the data with machine learning. Materials and methods: We included 60 participants in a double-blind, double-dummy, randomized standard-controlled study. Participants in the Sesame and Rose oil group (SR group) (n = 30) received 14 days course of black sesame powder (5 gm) mixed with rose oil (10 mL) per vaginum at bedtime once daily plus placebo capsules orally. The standard group (SC), received doxycycline 100 mg twice and metronidazole 400 mg thrice orally plus placebo per vaginum for the same duration. The primary outcome was a clinical cure at post-intervention for visual analogue scale (VAS) for lower abdominal pain (LAP), and McCormack pain scale (McPS) for abdominal-pelvic tenderness. The secondary outcome included white blood cells (WBC) cells in the vaginal wet mount test, safety profile, and health-related quality of life assessed by SF-12. In addition, we used AdaBoost (AB), Naïve Bayes (NB), and Decision Tree (DT) classifiers in this study to analyze the experimental data. Results: The clinical cure for LAP and McPS in the SR vs SC group was 82.85% vs 81.48% and 83.85% vs 81.60% on Day 15 respectively. On Day 15, pus cells less than 10 in the SR vs SC group were 86.6% vs 76.6% respectively. No adverse effects were reported in both groups. The improvement in total SF-12 score on Day 30 for the SR vs SC group was 82.79% vs 80.04% respectively. In addition, our Naive Bayes classifier based on the leave-one-out model achieved the maximum accuracy (68.30%) for the classification of both groups of uPID. Conclusion: We concluded that the SR group is cost-effective, safer, and efficacious for curing uPID. Proposed alternative treatment (test drug) could be a substitute of standard drug used for Female genital tract infections.

Liquisolid Technique: A Novel Technique with Remarkable Applications in Pharmaceutics.

Recently, it has been observed that newly developed drugs are lipophilic and have low aqueous solubility issues, which results in a lower dissolution rate and bioavailability of the drugs. To overcome these issues, the liquisolid technique, an innovative and advanced approach, comes into play. This technique involves the conversion of the drug into liquid form by dissolving it in non-volatile solvent and then converting the liquid medication into dry, free-flowing, and compressible form by the addition of carrier and coating material. It offers advantages like low cost of production, easy method of preparation, and compactable with thermo labile and hygroscopic drugs. It has been widely applied for BCS II drugs to enhance dissolution profile. Improving bioavailability, providing sustained release, minimizing pH influence on drug dissolution, and improving drug photostability are some of the other promising applications of this technology. This review article presents an overview of the liquisolid technique and its applications in formulation development.

A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection.

Inhaled corticosteroid (ICS) is a mainstay treatment for controlling asthma and preventing exacerbations in patients with persistent asthma. Many types of ICS drugs are used, either alone or in combination with other controller medications. Despite the widespread use of ICSs, asthma control remains suboptimal in many people with asthma. Suboptimal control leads to recurrent exacerbations, causes frequent ER visits and inpatient stays, and is due to multiple factors. One such factor is the inappropriate ICS choice for the patient. While many interventions targeting other factors exist, less attention is given to inappropriate ICS choice. Asthma is a heterogeneous disease with variable underlying inflammations and biomarkers. Up to 50% of people with asthma exhibit some degree of resistance or insensitivity to certain ICSs due to genetic variations in ICS metabolizing enzymes, leading to variable responses to ICSs. Yet, ICS choice, especially in the primary care setting, is often not tailored to the patient's characteristics. Instead, ICS choice is largely by trial and error and often dictated by insurance reimbursement, organizational prescribing policies, or cost, leading to a one-size-fits-all approach with many patients not achieving optimal control. There is a pressing need for a decision support tool that can predict an effective ICS at the point of care and guide providers to select the ICS that will most likely and quickly ease patient symptoms and improve asthma control. To date, no such tool exists. Predicting which patient will respond well to which ICS is the first step toward developing such a tool. However, no study has predicted ICS response, forming a gap. While the biologic heterogeneity of asthma is vast, few, if any, biomarkers and genotypes can be used to systematically profile all patients with asthma and predict ICS response. As endotyping or genotyping all patients is infeasible, readily available electronic health record data collected during clinical care offer a low-cost, reliable, and more holistic way to profile all patients. In this paper, we point out the need for developing a decision support tool to guide ICS selection and the gap in fulfilling the need. Then we outline an approach to close this gap via creating a machine learning model and applying causal inference to predict a patient's ICS response in the next year based on the patient's characteristics. The model uses electronic health record data to characterize all patients and extract patterns that could mirror endotype or genotype. This paper supplies a roadmap for future research, with the eventual goal of shifting asthma care from one-size-fits-all to personalized care, improve outcomes, and save health care resources.

Enhancing SN38 prodrug delivery using a self-immolative linker and endogenous albumin transport.

Enhancing the delivery and release efficiency of hydroxyl agents, constrained by high pKa values and issues of release rate or unstable linkage, is a critical challenge. To address this, a self-immolative linker, composed of a modifiable p-hydroxybenzyl ether and a fast cyclization adapter (N-(ortho-hydroxyphenyl)-N-methylcarbamate) was strategically designed, for the synthesis of prodrugs. The innovative linker not only provides a side chain modification but also facilitates the rapid release of the active payloads, thereby enabling precise drug delivery. Particularly, five prodrug model compounds (J1, J2, J3, J5 and J6) were synthesized to evaluate the release rates by using ß-glucuronic acid as trigger and five hydroxyl compounds as model payloads. Significantly, all prodrug model compounds could efficiently release the hydroxyl payloads under the action of ß-glucuronidase, validating the robustness of the linker. And then, to assess the drug delivery and release efficiency using endogenous albumin as a transport vehicle, J1148, a SN38 prodrug modified with maleimide side chain was synthesized. Results demonstrated that J1148 covalently bound to plasma albumin through in situ Michael addition, effectively targeting the tumor microenvironment. Activated by ß-glucuronidase, J1148 underwent a classical 1, 6-elimination, followed by rapid cyclization of the adapter, thereby releasing SN38. Impressively, J1148 showed excellent therapeutic efficacy against human colonic cancer xenograft model, leading to a significant reduction or even disappearance of tumors (3/6 of mice cured). These findings underscore the potential of the designed linker in the delivery system of hydroxyl agents, positioning it at the forefront of advancements in drug delivery technology.

Antitubercular drug-induced lichen planus: A case study with a mini literature review.

Introduction: Drug-induced lichen planus is a cutaneous adverse effect that manifests as a systemic eruption of flat-topped, erythematous, or violaceous papules resembling lichen planus on the trunk and extremities. Although antitubercular therapy has been linked to cutaneous hypersensitivity reactions, the literature on such cases is scarce. Here, we present a case to contribute to this field, reporting on its presentation and management, and reviewing previous case studies. Case Report: Our patient, a 63-year-old male, presented with black pigmented patches on the skin, having been diagnosed with pulmonary tuberculosis and on antitubercular therapy for the past two months. A diagnosis of ATT-induced lichen planus was made, and all ATT was stopped. The patient was treated with antihistamines, apremilast, tacrolimus, and corticosteroids, and rechallenge of each drug was performed consecutively. No new lesions appeared after rechallenge with isoniazid and rifampicin. However, ethambutol was not reintroduced due to strong suspicion, by exclusion, that it was the offending agent, whereas on rechallenge with isoniazid and rifampicin, the patient's skin lesions gradually improved with eventual resolution of hyperpigmentation. Discussion and Conclusion: Lichenoid drug eruptions are characterized by type IV hypersensitivity reactions, and rechallenge is required to ensure safer treatment since the risk of disseminated and multi-drug-resistant tuberculosis increases with the cessation of antitubercular therapy.

Symptom-based drug prediction of lifestyle-related chronic diseases using unsupervised machine learning techniques.

BACKGROUND AND OBJECTIVES: Lifestyle-related diseases (LSDs) impose a substantial economic burden on patients and health care services. LSDs are chronic in nature and can directly affect the heart and lungs. Therapeutic interventions only based on symptoms can be crucial for prompt treatment initiation in LSDs, as symptoms are the first information available to clinicians. So, this work aims to apply unsupervised machine learning (ML) techniques for developing models to predict drugs from symptoms for LSDs, with a specific focus on pulmonary and heart diseases. METHODS: The drug-disease and disease-symptom associations of 143 LSDs, 1271 drugs, and 305 symptoms were used to compute direct associations between drugs and symptoms. ML models with four different algorithms - K-Means, Bisecting K-Means, Mean Shift, and Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) - were developed to cluster the drugs using symptoms as features. The optimal model was saved in a server for the development of a web application. A web application was developed to perform the prediction based on the optimal model. RESULTS: The Bisecting K-means model showed the best performance with a silhouette coefficient of 0.647 and generated 138 drug clusters. The drugs within the optimal clusters showed good similarity based on i) gene ontology annotations of the gene targets, ii) chemical ontology annotations, and iii) maximum common substructure of the drugs. In the web application, the model also provides a confidence score for each predicted drug while predicting from a new set of input symptoms. CONCLUSION: In summary, direct associations between drugs and symptoms were computed, and those were used to develop a symptom-based drug prediction tool for LSDs with unsupervised ML models. The ML-based prediction can provide a second opinion to clinicians to aid their decision-making for early treatment of LSD patients. The web application (URL - http://bicresources.jcbose.ac.in/ssaha4/sdldpred) can provide a simple interface for all end-users to perform the ML-based prediction.

Factors associated with hepatitis C testing, treatment, and current hepatitis C infection among men and women who inject drugs: The ETHOS engage study.

BACKGROUND: Evaluating gender-specific trends in hepatitis C virus (HCV) treatment uptake among men and women who inject drugs is crucial for ensuring equitable progress towards HCV elimination. This study aimed to quantify differences in testing, treatment, and current HCV infection between men and women who inject drugs. METHOD: ETHOS Engage is an observational cohort study of people who inject drugs attending drug treatment clinics and needle and syringe programs in Australia recruited from May 2018-September 2019 (wave 1) and November 2019-April 2021 (wave 2). Participants completed a questionnaire including self-reported HCV testing and treatment history and underwent point-of-care HCV RNA testing (Xpert® HCV Viral Load Fingerstick). Logistic regression was used to compare the factors associated with self-reported HCV testing and treatment and current HCV infection for men and women who inject drugs. RESULTS: Among 2,395 participants enrolled in ETHOS Engage, 66% (n = 1,591) were men, 33% (n = 786) women, and <1% (n = 18) did not identify as a man or woman. HCV testing history and current infection were similar among men and women. Among men or women ever eligible for HCV treatment (ever chronic HCV) (n = 1,242), women were less likely to report a history of HCV treatment compared to men (227/352, 64% vs. 631/890, 71%; p = 0.03). Among women, those aged <45 were less likely to report HCV testing (aOR: 0.57, 95%CI: 0.36, 0.90), treatment (aOR: 0.47, 95%CI: 0.29, 0.77), and more likely to have HCV infection (aOR: 1.48, 95%CI: 1.00, 2.20) CONCLUSION: Among women, those of childbearing age (<45) were less likely to report testing and treatment and were more likely to have current HCV infection. Women <45 years old should be a priority population for HCV care. Services that interface with these women should be optimised to enhance HCV testing and treatment.

Evaluation of photobiomodulation in the salivary production of patients with hyposalivation induced by antihypertensive drugs - A blind, randomized, controlled clinical trial.

BACKGROUND: Arterial hypertension is a systemic condition that affects about 35% of the world population. The drugs that are used for its control can produce hyposalivation. This work evaluated the effect of photobiomodulation on salivary flow rate, salivary pH, total protein concentration, and calcium concentration in individuals using antihypertensive medications. MATERIAL AND METHODS: 41 subjects were randomly allocated in one of two groups: control (placebo) and photobiomodulation. The subjects had their salivary glands (20 sites) irradiated with a laser emitting at 808 nm, 4J/site once a week for 4 weeks and had their salivary flow measured before and after the whole treatment. RESULTS: The intragroup analysis (before and after treatment) shows a significant difference for both non-stimulated and stimulated salivary flow in the photobiomodulation group (p = 0.0007 and p = 0.0001, respectively). Comparing the placebo with the photobiomodulation group, significant differences were found for both non-stimulated (p = 0.0441) and stimulated salivary flow (p = 0.0441) after the treatment. No significant differences were found in pH, total protein concentration, calcium concentration. CONCLUSION: Despite the usage of drugs that influence the nervous system and typically result in a reduction of saliva production, photobiomodulation demonstrated a remarkable ability to enhance saliva production by a significant 75%.

Degradation and mineralization of anti-cancer drugs Capecitabine, Bicalutamide and Irinotecan by UV-irradiation and ozone.

The degradation of three anti-cancer drugs (ADs), Capecitabine (CAP), Bicalutamide (BIC) and Irinotecan (IRI), in ultrapure water by ozonation and UV-irradiation was tested in a bench-scale reactor and AD concentrations were measured through ultra-high-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS). A low-pressure mercury UV (LP-UV) lamp was used and degradation by UV (λ = 254 nm) followed pseudo-first order kinetics. Incident radiation in the reactor was measured via chemical actinometry using uridine. The quantum yields (φ) for the degradation of CAP, BIC and IRI were 0.012, 0.0020 and 0.0045 mol Einstein-1, respectively. Ozone experiments with CAP and IRI were conducted by adding ozone stock solution to the reactor either with or without addition of tert-butanol (t-BuOH) as radical quencher. Using this experimental arrangement, no degradation of BIC was observed, so a semi-batch setup was employed for the ozone degradation experiments of BIC. Without t-BuOH, apparent second order reaction rate constants for the reaction of the ADs with molecular ozone were determined to be 3.5 ± 0.8 ∙ 103 L mol-1 s-1 (CAP), 7.9 ± 2.1 ∙ 10-1 L mol-1 s-1 (BIC) and 1.0 ± 0.3 ∙ 103 L mol-1 s-1 (IRI). When OH-radicals (∙OH) were quenched, rate constants were virtually the same for CAP and IRI. For BIC, a significantly lower constant of 1.0 ± 0.5 ∙ 10-1 L mol-1 s-1 was determined. Of the tested substances, BIC was the most recalcitrant, with the slowest degradation during both ozonation and UV-irradiation. The extent of mineralization was also determined for both processes. UV irradiation was able to fully degrade up to 80% of DOC, ozonation up to 30%. Toxicity tests with Daphnia magna (D. magna) did not find toxicity for fully degraded solutions of the three ADs at environmentally relevant concentrations.