Usabilidade de um aplicativo móvel de apoio aos profissionaisde saúde para cálculos de doses de vancomicina / Usability of a mobile application supporting healthprofessionals on vancomycin dosing calculation

O aplicativo móvel CalcVAN foi desenvolvido para auxiliar os profissionais de saúde para otimizar as doses de vancomicina em pacientes hospitalizados. Porém, é imprescindível avaliar a sua usabilidade antes de disponibilizá-lo para prática clínica. Assim, o objetivo do estudo é avaliar a usabilidade do aplicativo móvel na perspectiva dos profissionais de saúde. Trata-se de um estudo descritivo, de avaliação heurística da usabilidade de um aplicativo móvel. Foram convidados profissionais da área de saúde com expertise no tema de gerenciamento de antimicrobianos e vancomicina. O instrumento validado Smartphone Usability questionnaiRE (SURE) foi utilizado para mensuração da usabilidade por meio de um questionário on-line. Vinte e um especialistas participaram do estudo, com média de idade de 32,6 anos, sendo a maioria de mulheres (n = 14, 66,7%), profissionais farmacêuticos (n = 13, 61,9%), com pós-graduação lato sensu (n = 10, 47,6%), que trabalhavam em hospitais públicos ou privados (n = 15, 71,4%) e com média de experiência em 9,7 anos. Com base na interpretação dos resultados obtidos pelo instrumento SURE, a média de usabilidade geral do CalcVAN foi de 83 pontos, com escore menor de 78 e maior de 90 pontos. O teste de usabilidade foi enquadrado nos dois últimos níveis, 70 e 80, onde os profissionais de saúde passaram a concordar fortemente e totalmente, indicando que o aplicativo móvel apresenta uma usabilidade satisfatória. O CalcVAN atingiu uma usabilidade satisfatória e atende as necessidades e exigências dos profissionais de saúde, mostrando--se eficiente para realizar as funções propostas.

The CalcVAN app was developed to assist healthcare professionals in optimizing vancomycin doses for hospitalized patients. However, the usability test before making it available for clinical practice is essential. Therefore, the study aims to evaluate the usability of the app from the perspective of health professionals. A descriptive study, a heuristic evaluation of the usability of a mobile application was conducted. Healthcare professionals with expertise in antimicrobial management and vancomycin were invited to participate. The validated Smartphone Usability questionnaiRE (SURE) was used to measure usability through an online questionnaire. Twenty-one experts participated in the study, with a mean age of 32.6 years, mostly of them women (n = 14, 66.7%), pharmacists (n = 13, 61.9%), with postgraduate education (n = 10, 47.6%), working in private or public hospitals (n = 15, 71.4%), and a mean experience of 9.7 years. Overall usability score for CalcVAN was 83 points, ranging from a minimum of 78 to a maximum of 90 points. The usability test registered within the last two levels, 70 and 80, with users expressing strongly and fully agreed, indicating that the app demonstrates satisfactory usability. CalcVAN achieved satisfactory usability, fulfilling the needs and requirements of health professionals, proving to be efficient in performing the intended functions.

Effect of Obesity on the Use of Antiarrhythmics in Adults With Atrial Fibrillation: A Narrative Review.

BACKGROUND: Atrial fibrillation (AF) and obesity coexist in approximately 37.6 million and 650 million people globally, respectively. The anatomical and physiological changes in individuals with obesity may influence the pharmacokinetic properties of drugs. AIM: This review aimed to describe the evidence of the effect of obesity on the pharmacokinetics of antiarrhythmics in people with AF. METHODS: Three databases were searched from inception to June 2023. Original studies that addressed the use of antiarrhythmics in adults with AF and concomitant obesity were included. RESULTS: A total of 4549 de-duplicated articles were screened, and 114 articles underwent full-text review. Ten studies were included in this narrative synthesis: seven cohort studies, two pharmacokinetic studies, and a single case report. Samples ranged from 1 to 371 participants, predominately males (41%-85%), aged 59-75 years, with a body mass index (BMI) of 23-66 kg/m2. The two most frequently investigated antiarrhythmics were amiodarone and dofetilide. Other drugs investigated included diltiazem, flecainide, disopyramide, propafenone, dronedarone, sotalol, vernakalant, and ibutilide. Findings indicate that obesity may affect the pharmacokinetics of amiodarone and sodium channel blockers (e.g., flecainide, disopyramide, and propafenone). Factors such as drug lipophilicity may also influence the pharmacokinetics of the drug and the need for dose modification. DISCUSSION: Antiarrhythmics are not uniformly affected by obesity. This observation is based on heterogeneous studies of participants with an average BMI and poorly controlled confounding factors such as multimorbidity, concomitant medications, varying routes of administration, and assessment of obesity. Controlled trials with stratification at the time of recruitment for obesity are necessary to determine the significance of these findings.

Risk for Mortality in High versus Low Antiparkinsonian Therapy Dose During the First Year of Parkinson's Disease: A Real-World Study.

INTRODUCTION: Early, simple predictors for long-term survival in Parkinson's disease (PD) may help identify patients at elevated risk and are crucial for more personalized treatment. METHODS: This large, retrospective study examined whether higher levodopa equivalent daily dose (LEDD) a year after diagnosis predicts long-term survival. RESULTS: Mortality risk was increased among 292 patients receiving ≥ 600 mg LEDD versus 2233 patients receiving < 600 mg LEDD (hazard ratio 1.5; 95% confidence interval 1.3-1.7), particularly among patients aged < 75 years (1.8; 1.4-2.4). CONCLUSION: In PD, higher LEDD can be an early risk marker of increased mortality, probably because it reflects more severe disease.

Assessing knowledge of dental house officers regarding dosage calculation and complications of local anaesthesia, in three tertiary care dental hospitals of DUHS, Karachi.

Objectives: To assess the knowledge and awareness of dental house officers regarding calculation of local anaesthesia dosage, and to evaluate differences in practices at various tertiary care facilities. METHODS: The cross-sectional study was conducted at three dental hospitals affiliated with Dow University of Health Sciences, Karachi from July to December 2022, and comprised house officers of either gender currently enrolled at the participating centres. Data was collected using a self-administered questionnaire to assess knowledge and awareness of local anaesthesia dosage calculation, administration methods, and common complications. Data was analysed using SPSS 26. RESULTS: Of the 200 subjects approached, 136(68%) responded, and 89(65.4%) of them were females. Knowledge regarding the meaning of 2% lidocaine solution was low 45(33%), and 68(50%) subjects were knowledgeable about the maximum dosage of lidocaine with epinephrine. In terms of practice, lidocaine was the most commonly administered local anaesthetic 115(85%), followed by bupivacaine 15(11%). The majority of subjects administered local anaesthesia with vasoconstrictor 127(94%), but only 36(27%) performed aspiration during administration. Syncope 71(52%) was the most commonly reported complication, followed by lip/cheek/tongue biting by 35(26%). CONCLUSIONS: House officers' knowledge level of local anaesthesia administration indicated the need for adequate training.

Synergistic Outcomes in Drug Delivery: Exploring Harmonious Architectures of Interpenetrating Polymer Networks.

Pharmaceutical excipients play a crucial role in determining the outcome of delivered therapeutic cargo density. By far, polymers have captured the biggest share in the excipients market. This surge in demand motivated researchers to look for newer and novel polymeric platforms. Interpenetrating polymeric networks (IPN) are a class of polymer in the same polymer blend league, where two different polymer chains penetrate; and align with each other without any sustainable covalent bond. The novel agreement between the polymer chains equips the IPN with the characteristic features of each participating polymer unit, thus making IPN superior to its predecessors. IPN has crossed a long path, especially in the pharmaceutical medicine field, from the mere coinage of the term to widespread usage, especially in drug delivery, where they increased the bioavailability and efficacy of the co-delivered drugs. The current review will highlight the major studies that have led to the current face of the IPN in various pharmaceutical domains. The present review was conducted by comprehensively reviewing published reports within the recent period using multiple keywords related to IPN and its role in drug delivery. Moving forward, continued exploration and innovation in IPN technologies promise to further enhance their applications, offering novel solutions for the challenges in drug delivery and therapeutic cargo density.

Enhanced predictive validity of integrative models for refractory hyperthyroidism considering baseline and early therapy characteristics: a prospective cohort study.

BACKGROUND: A subset of Graves' disease (GD) patients develops refractory hyperthyroidism, posing challenges in treatment decisions. The predictive value of baseline characteristics and early therapy indicators in identifying high risk individuals is an area worth exploration. METHODS: A prospective cohort study (2018-2022) involved 597 newly diagnosed adult GD patients undergoing methimazole (MMI) treatment. Baseline characteristics and 3-month therapy parameters were utilized to develop predictive models for refractory GD, considering antithyroid drug (ATD) dosage regimens. RESULTS: Among 346 patients analyzed, 49.7% developed ATD-refractory GD, marked by recurrence and sustained Thyrotropin Receptor Antibody (TRAb) positivity. Key baseline factors, including younger age, Graves' ophthalmopathy (GO), larger goiter size, and higher initial free triiodothyronine (fT3), free thyroxine (fT4), and TRAb levels, were all significantly associated with an increased risk of refractory GD, forming the baseline predictive model (Model A). Subsequent analysis based on MMI cumulative dosage at 3 months resulted in two subgroups: a high cumulative dosage group (average ≥ 20 mg/day) and a medium-low cumulative dosage group (average < 20 mg/day). Absolute values, percentage changes, and cumulative values of thyroid function and autoantibodies at 3 months were analyzed. Two combined predictive models, Model B (high cumulative dosage) and Model C (medium-low cumulative dosage), were developed based on stepwise regression and multivariate analysis, incorporating additional 3-month parameters beyond the baseline. In both groups, these combined models outperformed the baseline model in terms of discriminative ability (measured by AUC), concordance with actual outcomes (66.2% comprehensive improvement), and risk classification accuracy (especially for Class I and II patients with baseline predictive risk < 71%). The reliability of the above models was confirmed through additional analysis using random forests. This study also explored ATD dosage regimens, revealing differences in refractory outcomes between predicted risk groups. However, adjusting MMI dosage after early risk assessment did not conclusively improve the prognosis of refractory GD. CONCLUSION: Integrating baseline and early therapy characteristics enhances the predictive capability for refractory GD outcomes. The study provides valuable insights into refining risk assessment and guiding personalized treatment decisions for GD patients.

Discrepancies among equations to estimate the glomerular filtration rate for drug dosing decision making in aged patients: a cross sectional study.

BACKGROUND: Patients often require adjustments to drug doses due to impaired renal function. Glomerular filtration rate (GFR) estimation using various equations can result in discrepancies, potentially leading to different dose adjustment recommendations. AIM: To determine the clinical significance of discrepancies observed between different equations used to estimate GFR for drug dose adjustments in a real-world group of patients over 65 years in primary care. METHOD: The Cockcroft-Gault (CG), Modification of Diet in Renal Disease (MDRD), Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), and Berlin Initiative Study 1 equations were applied to estimate GFR in a group of patients over 65 years old attending a primary care center. Results were compared using Bland-Altman plots, and limits of agreement (LoA) and overall bias were calculated. Regression analyses were conducted to identify the null difference GFR and the slope of differences for each pairwise comparison. RESULTS: A total of 1886 patients were analyzed. Differences between patient-adjusted and body surface area (BSA)-normalized versions of the equations were not clinically relevant for dose adjustments, with LoAs below 20 mL/min. However, discrepancies among the original versions of several equations presented LoAs over 30 mL/min. Greater differences were found between CG and MDRD or CKD-EPI equations. CONCLUSION: Clinically relevant differences in GFR estimation were observed among different equations, potentially impacting drug dose adjustments. However, discrepancies were not considered significant when comparing patient-adjusted and BSA-normalized versions of the equations, particularly for patients with BSA close to the average.

A Bibliometric Analysis of 3D Printing in Personalized Medicine Research from 2012 to 2022.

In recent years, the 3D printing of personalized drug formulations has attracted the attention of medical practitioners and academics. However, there is a lack of data-based analyses on the hotspots and trends of research in this field. Therefore, in this study, we performed a bibliometric analysis to summarize the 3D printing research in the field of personalized drug formulation from 2012 to 2022. This study was based on the Web of Science Core Collection Database, and a total of 442 eligible publications were screened. Using VOSviewer and online websites for bibliometric analysis and scientific mapping, it was observed that annual publications have shown a significant growth trend over the last decade. The United Kingdom and the United States, which account for 45.5% of the total number of publications, are the main drivers of this field. The International Journal of Pharmaceutics and University College London are the most prolific and cited journals and institutions. The researchers with the most contributions are Basit, Abdul W. and Goyanes Alvaro. The keyword analysis concluded that the current research hotspots are "drug release" and "drug dosage forms". In conclusion, 3D printing has broad application prospects in the field of personalized drugs, which will bring the pharmaceutical industry into a new era of innovation.

Comparing the Safety and Efficacy of Proton Pump Inhibitors and Histamine-2 Receptor Antagonists in the Management of Patients With Peptic Ulcer Disease: A Systematic Review.

Peptic ulcer disease (PUD) refers to the occurrence of an open erosion in the inner lining of the stomach, duodenum, or sometimes lower esophagus. Treatments like proton pump inhibitors (PPIs) or histamine 2 receptor antagonists (H2RAs) are available on the market to efficiently treat the break in the mucosal lining. However, there is little evidence about the effects of the medication on the type and location of the ulcer and the epigastric pain caused by disintegration and increased acidity in the stomach. Given the above, we conducted a systematic review comparing the safety and efficacy of PPIs and H2RAs in various ulcer locations (gastric, duodenal, and pre-pyloric) and the effect of prolonging the treatment with the same medication or changing into a drug from another class in treatment-resistant ulcers. We employed major research literature databases and search engines such as PubMed, Medical Literature Analysis and Retrieval System Online (MEDLINE), Science Direct, and Google Scholar to find relevant articles. After a thorough screening, a quality check using various tools, and applying filters that suited our eligibility criteria, we identified eight articles, of which five were random clinical trials (RCTs), two review articles, and one meta-analysis. This study compares the different side effects of PPIs and H2RAs. Most studies concluded that omeprazole is superior in healing ulcers and bringing pain relief and that patients resistant to H2RAs can be treated better when switched to a PPI. This study also discusses the adverse effects of chronic use, such as diarrhea, constipation, headaches, and gastrointestinal infections. Patients on long-term PPI therapy are required to take calcium supplements to prevent the risk of fractures in older adults. Regarding long-term outcomes, PPIs remain the mainstay of treatment for peptic ulcer disease, based on the papers we reviewed.

[Role of chemotherapy in metastatic castration-resistant prostate cancer (mCRPC) treatment: still standard or exception?] / Stellenwert der Chemotherapie bei Patienten mit einem metastasierten kastrationsresistenten Prostatakarzinom (mCRPC): noch Standard oder Ausnahme?

BACKGROUND: Taxanes have been used as monotherapy for metastatic prostate cancer for two decades. OBJECTIVES: The current status of docetaxel and cabazitaxel in the treatment sequence for metastatic prostate cancer needs to be clarified. MATERIALS AND METHODS: Overview of the existing literature regarding approval, dosage and new combination options for metastatic castration-resistant prostate cancer (mCRPC). RESULTS: Taxanes represent one, but no longer the only treatment option for mCRPC. Previously, monotherapy was standard of care in the first and second line for mCRPC; nowadays taxanes are thrusted in the background due to new encouraging drug options. Based on the promising data of docetaxel in triple therapy setting for hormone-sensitive stage, its role as monotherapy in mCRPC needs to be clarified. Cabazitaxel is an alternative to PSMA radioligand therapy after failure of novel hormonal therapy (NHT) and docetaxel. Therapy adherence for taxanes can be significantly improved by dosage adjustments. Both treatment-related neuroendocrine prostate cancer (t-NEPC) and aggressive variant of prostate cancer (AVPC) represent a challenge for experienced uro-oncologists. Here, the combination of taxane plus platinum represents a promising option. CONCLUSIONS: Taxanes are indicated in different stages of metastatic prostate cancer. Their use, particularly in combination with other drugs, appears to be promising. Traditional sequential taxane monotherapy regimens will be challenged by novel systemic therapy approaches.

A Comprehensive Analysis and Review of Artificial Intelligence in Anaesthesia.

In the field of anaesthesia, artificial intelligence (AI) has become a game-changing technology. Applications of AI include keeping records, monitoring patients, calculating and administering drugs, and carrying out mechanical procedures. This article explores the current uses, challenges, and prospective applications of AI in anaesthesia practices. This review discusses AI-supported systems like anaesthesia information management systems (AIMS), mechanical robots for carrying out procedures, and pharmacological models for drug delivery. AIMS has helped in automated record-keeping, predicting bad events, and monitoring the vital signs of the patient. Their application has a vital role in improving the efficacy of anaesthesia management and patient safety. The application of AI in anaesthesia comes with its own unique difficulties. Noteworthy obstacles include issues with data quantity and quality, technical limitations, and moral and legal dilemmas. The key to overcoming these barriers is to set guidelines for the ethical use of AI in healthcare, improve the reliability and comprehension of AI systems, and certify the health data precision and security. AI has very bright potential. Exciting future directions include developments in AI and machine learning thus development of new applications, and the possible enhancement in training and education. Potential research areas include the application of AI to chronic disease management, pain management, and the reinforcement of anaesthesiologists' education. AI could be used to design authentic lifelike training simulations and individualized student feedback systems, hence transforming anaesthesia education and training methodology. For this review, we conducted a PubMed, Google Scholar, and Cochrane Database search in 2022-2023 and retrieved articles on AI and its uses in anaesthesia. Recommendations for future research and development include strengthening the safety and reliability of health data, building a better understanding of AI systems, and looking into new areas of use. The power of AI can be used to innovate anaesthesia practices by concentrating on these areas.

Impact of weight and creatinine adjustments on the accuracy of Cockcroft-gault equation in hematopoietic cell transplant patients.

BACKGROUND: Hematopoietic cell transplant (HCT) patients undergo pre- transplant renal function evaluation to confirm transplant eligibility and tailor pharmacotherapy. There is limited evidence regarding the most accurate method of estimating creatinine clearance (CrCl) within this patient population and no studies exist that evaluate the weight utilized within the Cockcroft-Gault (CG) equation in HCT patients. This study evaluates different weight and serum creatinine (SCr) adjustments utilized within the CG equation estimating for renal clearance in patients undergoing HCT. OBJECTIVE: This is a retrospective, single center analysis of adult HCT patients who underwent pre-transplant evaluation with a measured CrCl using a 24-h urine creatinine collection. The primary outcome was to evaluate the correlation of various weights used in estimation of CrCl compared to measured CrCl. Key secondary outcomes include evaluation of the impact of various weights on estimated CrCl in subpopulations, evaluation of adjusting SCr to pre-determined limits, and determination of an appropriate obesity threshold to utilize body weight adjustments. RESULTS: Seven-hundred and forty-two patients were included in the study. In the primary analysis, CG utilizing adjusted body weight (ADjBW0.4 ) had a greater correlation (r = .812) to measured CrCl when compared to total or ideal body weight (r = .801 and r = .790 respectively). The threshold of 120% of ideal body weight (IBW) produced less bias and greater accuracy in comparison to the threshold of 140% IBW. In patients 60 years or older, rounding low SCr values up .8 or 1 mg/dL resulted in decreased correlation and a greater mean difference in comparison to not rounding SCr. CONCLUSION: In HCT patients who are overweight or obese, ADjBW .4 is the most accurate weight for the CG equation. In HCT patients who have a total body weight < 120% IBW, total body weight is the most accurate weight to utilize. Rounding up low SCr to .8 or 1 mg/dL does not improve the accuracy or led to less bias of the CG equation.

Blood Pressure Control Following Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers: Insights from a Triple-Blind, Randomized, Clinical Trial.

Data on substituting one antihypertensive medication with the proper dose of another antihypertensive medication, in certain medical conditions, are scarce. Herein, we present the results of replacing angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) with the calcium channel blocker (CCB) amlodipine, with or without the alpha- and beta-blocker carvedilol, to control high blood pressure in patients with coronavirus disease 2019 (COVID-19). Iranian hypertensive patients with COVID-19 and a history of taking ACEI or ARB were randomized to "continue" and "change" groups. The continue group comprised patients who continued using their previous antihypertensive medication regimen as normal, whereas patients in the change group had their antihypertensive drugs changed to the CCB amlodipine, with or without the alpha- and beta-blocker carvedilol, based on their response to amlodipine. Patients' blood pressures were measured for 8 days following their recruitment. A total of 31 and 33 patients were randomly allocated to the ACEI/ARB continue and ACEI/ARB change groups, respectively. No significant deviations were seen in patients' systolic blood pressure by substituting an ACEI/ARB agent with the CCB amlodipine, with or without the alpha- and beta-blocker carvedilol. Moreover, the change group had a more balanced systolic blood pressure (ie, 110-130 mmHg) compared with the continue group (ie, 111.5-140.0 mmHg) throughout their hospitalization period. During their hospitalization, the blood pressure of the change group was well controlled with the proposed equivalent doses. Further investigations of the proposed equivalent doses in larger randomized clinical trials, populations other than Iranian COVID-19 patients, and extended duration are encouraged (clinical trial registration ID: IRCT20151113025025N3).

Impact of Protein Binding Capacity and Daily Dosage of a Drug on Total Serum Bilirubin Levels in Susceptible Infants.

Hyperbilirubinemia is a common pathological condition in neonates. Free bilirubin can penetrate the blood-brain barrier (BBB), which can lead to bilirubin neurotoxicity. In the context of predicting the risk of bilirubin neurotoxicity, although the specificity and sensitivity of free bilirubin levels are higher than those of total serum bilirubin (TSB), free bilirubin is not widely monitored in clinical practice. The threshold TSB levels at which phototherapy must be administered have been established previously. However, TSB levels are not well correlated with neurodevelopmental outcomes. Currently, TSB levels are commonly used to guide phototherapy for neonatal hyperbilirubinemia. Some clinical drugs can displace bilirubin from its albumin-binding sites, and consequently upregulate plasma bilirubin. Daily dosages play a vital role in regulating bilirubin levels. A drug with both a high protein binding capacity and high daily dosage significantly increases bilirubin levels in infants. Premature or very low birth weight (VLBW) infants are vulnerable to the upregulation of bilirubin levels as they exhibit the lowest reserve albumin levels and consequently the highest bilirubin toxicity index. Because bilirubin is involved in maintaining the balance between pro-oxidant and antioxidant agents, the downregulation of bilirubin levels is not always desirable. This review provides insights into the impact of protein binding capacity and daily dosage of drugs on the bilirubin levels in susceptible infants.

A Comparison of Innovative App-Based Prescriptions With Conventional Prescriptions for Children by General Dentists: A Mixed Methods Study.

Introduction Writing drug prescriptions for children with accurate drug dosages and clear instructions is a must for general dentists. A digital tool in the form of a software application (app) to write, save and share prescriptions can potentially overcome the possible limitations of handwritten prescriptions such as handwriting illegibility, errors in calculations, and incomplete descriptions. However, it is also important to assess the satisfaction of dentists with making prescriptions using a digital tool such as an android application. A mixed methods study comparing an innovative "app-based" and handwritten prescriptions in dental settings is presented. Methodology An indigenously developed and piloted app "PREscribing children made EASY (PREASY)" was used in this study. Based on the preliminary study, a sample size of 20 was found to be adequate. Twenty-two dentists participated in the study. The conventional handwritten and an Android app PREASY-based prescriptions were compared in terms of the time taken, precision of writing, and satisfaction of the dentists. Qualitative feedback regarding the PREASY app was obtained in Google Forms (Google, Inc., Mountain View, CA, USA). Results A study sample of 20 subjects was calculated based on a pilot study, and 22 dentists were recruited. The mean time taken in seconds for handwritten prescriptions (199.14 (+ 59.18)) was almost four times higher than that for app-based prescriptions (52.05 (+ 23.89)) (t-test, P < 0.00001). The accuracy of handwritten prescriptions versus app-based prescriptions was compared by two examiners independently using analysis of variance (ANOVA) in three domains: dosage accuracy, legible handwriting, and completeness of instructions, the differences (Domain 1 mean + SD: 1.04 + 0.89, Domain 2 mean + SD: 1.38 + 0.40, Domain 3 mean + SD: 0.88 + 0.58) being statistically significant (P < 0.05). The differences in the percentages of the three domains (dosage accuracy: 40.9%, legibility of handwriting: 63.6%, completeness of instructions: 18.1%) were found to be statistically significant (P < 0.05; chi-squared statistic, 9.4017). Of the participants, 59% were very satisfied, 36.3% were satisfied, and 4.5% were neutral (chi-squared test, P < 0.00001). Participants' feedback/comments were categorized under technical suggestions, dosage suggestions, criticism, and positive remarks and were thematically analyzed. Conclusion App-based prescriptions proved to be more instantaneous and detailed than handwritten ones with the majority of dentists satisfied. Valuable feedback pertaining to the limitations of the tool was obtained for improving the app. PREASY-based prescriptions could be recommended for prescribing to pediatric dental patients.

Transcriptomic analysis reveals differential adaptation of colorectal cancer cells to low and acute doses of cisplatin.

Over the years, the landscape of cisplatin-based cancer treatment options has undergone continuous transitions. Currently, there is much debate over the optimum dose of cisplatin to be administered to cancer patients. In clinical practice, it can extend from repeated low sub-toxic doses to a few cycles of acute high drug doses. Herein, the molecular understanding of the overall cellular response to such differential doses of cisplatin becomes crucial before any decision making; and it has been a grey area of research. In this study, colorectal cancer (CRC) cells were treated with either- a low sub-toxic dose (LD; 30 µM) or a ten times higher acute dose (HD; 300 µM) of cisplatin, and thereafter, the cellular response was mapped through RNA sequencing followed by transcriptomic analysis. Interestingly, we observed that the tumor cells' response to varying doses of cisplatin is distinctly different, and they activate unique transcriptional programs. The analysis of differentially regulated or uniquely expressed transcripts and corresponding pathways revealed a preferential enrichment of genes associated with chromatin organization, oxidative stress, senescence-associated signaling, and developmentally-active signaling pathways in HD; whereas, modulation of autophagy, protein homeostasis, or differential expression of ABC transporters was primarily enriched in LD. This study is the first of its kind to highlight cellular transcriptomic adaptations to different doses of cisplatin in CRC cells. Consequently, since, protein homeostasis was found to be deeply affected after cisplatin treatment, we further analyzed one of the primary cellular protein homeostatic mechanisms- autophagy. It was activated upon LD, but not HD, and served as a pro-survival strategy through the regulation of oxidative stress. Inhibition of autophagy improved sensitivity to LD. Overall, our study provides a holistic understanding of the distinct molecular signatures induced in CRC cells in response to differential cisplatin doses. These findings might facilitate the design of tailored therapy or appropriate drug dose for enhanced efficacy against CRCs.

Investigations into the use of machine learning to predict drug dosage form design to obtain desired release profiles for 3D printed oral medicines.

Three-dimensional (3D) printing, digitalization, and artificial intelligence (AI) are gaining increasing interest in modern medicine. All three aspects are combined in personalized medicine where 3D-printed dosage forms are advantageous because of their variable geometry design. The geometry design can be used to determine the surface area to volume (SA/V) ratio, which affects drug release from the dosage forms. This study investigated artificial neural networks (ANN) to predict suitable geometries for the desired dose and release profile. Filaments with 5% API load and polyvinyl alcohol were 3D printed using Fused Deposition Modeling to provide a wide variety of geometries with different dosages and SA/V ratios. These were dissolved in vitro, and the API release profiles were described mathematically. Using these data, ANN architectures were designed with the goal of predicting a suitable dosage form geometry. Poor accuracies of 68.5% in the training and 44.4% in the test settings were achieved with a classification architecture. However, the SA/V ratio could be predicted accurately with a mean squared error loss of only 0.05. This study shows that the prediction of the SA/V ratio using AI works, but not of the exact geometry. For this purpose, a global database could be built with a range of geometries to simplify the prescription process.

Triangle technique: An effective tool for improving nursing students' ability to calculate safe pediatric medication dosages.

Calculating the correct medication dosage for pediatric patients can be difficult for nurses to determine, as the pediatric dose is typically a small fraction of the adult dosage. This study aims to examine the impact of the Triangle Technique on the ability of nursing students to calculate low and high safe dosage ranges in children. To evaluate how this educational tool could improve a nurse's skill in this area, a quasi-experimental pre-/post-test research design was employed including one hundred fifty-eight third-year nursing students. The Pediatric Medication Administration Form and Pediatric Safe Dosage Calculations Quiz (PSDCQ) were used to measure the effectiveness of the Triangle Technique. While <50% (n < 79) of students gave correct answers to each question in PSDCQ before this intervention, all of the participants (N = 158, 100%) gave a correct answer to one question, and >89.2% (n > 141) of the students correctly answered the other four questions of PSDCQ. The change in scores (pre-PSDCQ median score = 0, IQR = 60; post-PSDCQ median score = 100, IQR = 0) post-intervention was statistically significant (z = 10.633, p ≤ .001), indicating that this teaching technique was effective for improving students' ability to calculate pediatric safe dose ranges. Nursing students (n = 144, 91.1%) were satisfied with using Triangle Technique. Using the Triangle Technique can increase nursing students' understanding of how they calculate safe pediatric medication dosages.

Drug dose adjustment in patients with renal impairment attending a specialized referral hospital, Northwest Ethiopia.

Background: Numerous drugs and their metabolites are removed from the body through the kidney. Improper use of drugs in renal impaired patients may therefore, be harmful and have deleterious effects. Thus, this study was aimed at investigating drug dose adjustment in renal impaired patients attending a specialized hospital. Methods: A prospective cross-sectional study was performed at the medical ward in University of Gondar comprehensive specialized hospital from March to May 2018. During the study period, a total of 2100 patients were admitted to the general medical wards. We located and assessed 210 patient files, of which 189 patient files had complete notes. Based on our inclusion criteria, 105 patients had Crcl of ≥ 59 ml per min per 1.73 m2. Therefore, 84 patients fulfilled our inclusion criteria and were included in the final analysis. The collected data were entered into Epi Info version 7 and exported to the statistical package for the social sciences (SPSS) version 20 for statistical analysis. A chi-square test was applied to test the relationship between renal status and dosage adjustment. P-value ≤ 0.05 was considered as statistical significance. Since the number of co-morbidities and number of drugs prescribed was non-normally distributed using the Shapiro-Wilk test (P < 0.001), the spearman correlation test was used (r = 0.228, p = 0.037). Results: The mean age of study participants was 57 years with 57.1% male and 42.9% female. The highest number of renal impaired patients was in stage three 56(66.7%). The mean creatinine clearance (Crcl) was 41.8 ml/min (IQR 24.8-60.9), and the mean serum creatinine (Scr) value of 2.63 mg/dl (IQR 1.3-3.1). More than two third (76.2%) of the study participants had comorbidities. Eighty-four patients with 257 prescription entries were included in the study. Of which 75 prescription entries need a drug dose adjustment. The overall rate of inappropriate dose adjustment was 42.6% (32/75). Inappropriate dose adjustment was more common with vancomycin (14.3%) and ciprofloxacin (6%). Inappropriate drug dose adjustments were associated with patients having intermediate renal insufficiency (P < 0.002) and co-morbid conditions (P < 0.02). Conclusion: The present study demonstrated that inappropriate dose adjustment was common at University of Gondar comprehensive specialized hospital that needs great attention. Vancomycin and ciprofloxacin were the most frequently identified drugs that were inappropriately adjusted. Intermediate renal insufficiency and co-morbidities were statically significant with inappropriate dose adjustment.

Development of a mobile application for vancomycin dosing calculation: A useful tool for the rational use of antimicrobials.

Background: Mobile applications (app) provide many benefits for healthcare professionals, making them a useful support clinical decision system. Objectives: To describe the development of a mobile app, CalcVAN, to calculate vancomycin dosage regimens for adult and pediatric patients. Methods: This study is a technological production research to develop a mobile app through the rapid prototyping type for the Android system in the Brazilian context. The mobile app structure was developed in four steps: 1) conception, including the needs assessment, the target audience, the literature search, and the definition of contents; 2) prototype planning, including the definition of topics and writing of modules, the selection of media, and the layout; 3) production of the mobile app, including the selection of multimedia tools, the navigation structure, and planning of environment configuration; and 4) make the mobile app available. Results: The CalcVAN has six screens, containing the vancomycin dosing calculator for adult and pediatric patients based on weight and estimated creatinine clearance parameters. Moreover, the mobile app is free and can be used without internet connection. Conclusions: A free mobile app was developed to calculate vancomycin dosage regimens for inpatients. This tool assists to optimize the vancomycin dosing, contributing to the antimicrobial stewardship.