Hasil untuk "Pharmacy and materia medica"

Persis E Mathew, Archa Susan Cherian, Rakshith S et al.

Background Post-operative pain is experienced by the majority of patients and can be managed using a single analgesic agent or through multimodal analgesia.Objective To evaluate the prescription patterns of analgesics and assess pain management among post-operative patients.Method This was a prospective observational study conducted on 400 patients over a six months period. Data collected included patient demographics age gender chief complaints diagnosis laboratory test results and details of the drugs prescribed such as genericbrand name dose frequency route of administration and duration of treatment. Assessment of pain was done using the Numerical Rating Scale.Result Out of 400 patients 243 were male 60.75 and 167 were female 39.25. The largest proportion of subjects belonged to the 46-60 years age group 33.75. Majority of subjects reported mild pain 52.75. Most drugs were prescribed by brand name 88.1. Intravenous administration was the most common route 97.14. Tramadol was the frequently prescribed monotherapy on the day of surgery 16.25 whereas paracetamol was the most commonly prescribed monotherapy on postoperative days 1 42.96 2 61.61 and 3 69.37. The combination of tramadol and paracetamol was the most commonly prescribed combination therapy on postoperative day 0 40.25 day 1 26.04 day 2 15.16 and day 3 7.5.Conclusion This study highlights the need to curb irrational prescribing to reduce morbidity and ease the public health burden. Promoting the judicious use of all medications including analgesics can lower costs limit adverse effects and improve care delivery.

Arshdeep S. Kohli, Ganaraj Shetty, Hari P. Gone et al.

Background: Forensic dentistry plays a pivotal role in the identification of individuals, particularly in mass disasters and criminal investigations. This study evaluates various dental materials used in forensic identification. Methods: Different dental materials were assessed for their effectiveness in forensic applications. Samples included dental amalgam, composite resins, glass ionomer cements, and dental ceramics. Parameters such as durability, ease of identification under forensic conditions, and resistance to environmental factors were analyzed. Results: Dental ceramics exhibited the highest durability and resistance to environmental degradation, followed by dental amalgam. Composite resins and glass ionomer cements showed lower performance in forensic conditions. Conclusion: Dental ceramics and amalgam provide superior forensic identification capabilities compared to other materials. This study supports the use of these materials in forensic dentistry due to their robustness and reliability.

Jiaxin Zhang, Zehong Zhu, Junye Deng et al.

Villages areas hold significant importance in the study of human-land relationships. However, with the advancement of urbanization, the gradual disappearance of spatial characteristics and the homogenization of landscapes have emerged as prominent issues. Existing studies primarily adopt a single-disciplinary perspective to analyze villages spatial morphology and its influencing factors, relying heavily on qualitative analysis methods. These efforts are often constrained by the lack of digital infrastructure and insufficient data. To address the current research limitations, this paper proposes a Hierarchical Graph Neural Network (HGNN) model that integrates multi-source data to conduct an in-depth analysis of villages spatial morphology. The framework includes two types of nodes-input nodes and communication nodes-and two types of edges-static input edges and dynamic communication edges. By combining Graph Convolutional Networks (GCN) and Graph Attention Networks (GAT), the proposed model efficiently integrates multimodal features under a two-stage feature update mechanism. Additionally, based on existing principles for classifying villages spatial morphology, the paper introduces a relational pooling mechanism and implements a joint training strategy across 17 subtypes. Experimental results demonstrate that this method achieves significant performance improvements over existing approaches in multimodal fusion and classification tasks. Additionally, the proposed joint optimization of all sub-types lifts mean accuracy/F1 from 0.71/0.83 (independent models) to 0.82/0.90, driven by a 6% gain for parcel tasks. Our method provides scientific evidence for exploring villages spatial patterns and generative logic.

Renrong Shao, Wei Zhang, Kangyang Luo et al.

Source-free domain adaptation (SFDA) aims to address the challenge of adapting to a target domain without accessing the source domain directly. However, due to the inaccessibility of source domain data, deterministic invariable features cannot be obtained. Current mainstream methods primarily focus on evaluating invariant features in the target domain that closely resemble those in the source domain, subsequently aligning the target domain with the source domain. However, these methods are susceptible to hard samples and influenced by domain bias. In this paper, we propose a Consistent Assistant Domains Transformer for SFDA, abbreviated as CADTrans, which solves the issue by constructing invariable feature representations of domain consistency. Concretely, we develop an assistant domain module for CADTrans to obtain diversified representations from the intermediate aggregated global attentions, which addresses the limitation of existing methods in adequately representing diversity. Based on assistant and target domains, invariable feature representations are obtained by multiple consistent strategies, which can be used to distinguish easy and hard samples. Finally, to align the hard samples to the corresponding easy samples, we construct a conditional multi-kernel max mean discrepancy (CMK-MMD) strategy to distinguish between samples of the same category and those of different categories. Extensive experiments are conducted on various benchmarks such as Office-31, Office-Home, VISDA-C, and DomainNet-126, proving the significant performance improvements achieved by our proposed approaches. Code is available at https://github.com/RoryShao/CADTrans.git.

Mingming Cao, Weiyi Kong, Dachun Yang et al.

In this article, we establish the parabolic version of the celebrated Rubio de Francia extrapolation theorem. As applications, we obtain new characterizations of parabolic BMO-type spaces in terms of various commutators of parabolic fractional operators with time lag. The key tools to achieve these include to establish the appropriate form in the parabolic setting of the parabolic Rubio de Francia iteration algorithm, the Cauchy integral trick, and a modified Fourier series expansion argument adapted to the parabolic geometry. The novelty of these results lies in the fact that, for the first time, we not only introduce a new class of commutators associated with parabolic fractional integral operators with time lag, but also utilize them to provide a characterization of the parabolic BMO-type space in the high-dimensional case.

Julian D. Schiller, Lars Grüne, and Matthias A. Müller

In this paper, we develop novel accuracy and performance guarantees for optimal state estimation of general nonlinear systems (in particular, moving horizon estimation, MHE). Our results rely on a turnpike property of the optimal state estimation problem, which essentially states that the omniscient infinite-horizon solution involving all past and future data serves as turnpike for the solutions of finite-horizon estimation problems involving a subset of the data. This leads to the surprising observation that MHE problems naturally exhibit a leaving arc, which may have a strong negative impact on the estimation accuracy. To address this, we propose a delayed MHE scheme, and we show that the resulting performance (both averaged and non-averaged) is approximately optimal and achieves bounded dynamic regret with respect to the infinite-horizon solution, with error terms that can be made arbitrarily small by an appropriate choice of the delay. In various simulation examples, we observe that already a very small delay in the MHE scheme is sufficient to significantly improve the overall estimation error by 20-25 % compared to standard MHE (without delay). This finding is of great importance for practical applications (especially for monitoring, fault detection, and parameter estimation) where a small delay in the estimation is rather irrelevant but may significantly improve the estimation results.

Ahmed A Alfawzan

Background: The efficacy of orthodontic treatments is often influenced by patient acceptance and compliance. This study aims to compare patient acceptance and compliance between clear aligners and lingual braces in a randomized clinical trial. Materials and Methods: A total of 100 patients requiring orthodontic treatment were randomly allocated into two groups: clear aligners (n = 50) and lingual braces (n = 50). Data on patient acceptance and compliance were collected through self-reported questionnaires and clinical observations over a period of 12 months. Results: Patient acceptance was significantly higher in the clear aligner group, with 80% reporting high levels of comfort, compared to 60% in the lingual braces group (P < 0.05). Compliance rates were 92% for clear aligners and 85% for lingual braces (P = 0.1). Conclusion: Clear aligners showed a higher level of patient acceptance and a slightly better compliance rate, although the difference was not statistically significant. These findings suggest that clear aligners may be a preferable option for patients prioritizing comfort.

K. Shreya Shetty, Marina Koland, Ashwini, M. Marina

This study aimed to develop a topical nanoparticulate form of trigonelline to enhance delivery to hair follicles and promote hair growth, addressing the limitations of conventional topicals. Trigonelline nanocrystals were synthesized using sonoprecipitation and optimized through the Box–Behnken design. The optimized nanocrystals were analyzed using scanning and transmission electron microscopy. In vitro permeation and in-vivo skin irritation tests were conducted. The effect on hair length and density was evaluated in cyclophosphamide-induced alopecia in Wistar rats. The optimized nanocrystals had a particle size of 142.7 nm, a polydispersity index of 0.137, and a zeta potential of −25.9 mV. The topical cream contained 79.0% drug. In vitro studies showed higher flux with high Trigonelline loading. In vivo tests indicated the product was innocuous. Hair length and density were significantly greater (P < 0.01) in the nanocrystal-treated group compared to controls and commercial hair oil, but not greater than the Minoxidil group after 30 days. Nanocrystal-based trigonelline formulations show promise for treating alopecia, potentially offering an alternative to minoxidil and finasteride.

Jesús Alberto Afonso Urich, Viktoria Marko, Katharina Boehm et al.

The development of analytical procedures, in line with the recent regulatory requirements ICH Q2 (R2) and ICH Q14, is progressing, and it must be able to manage the entire life cycle of the methodology. This is also applicable to and especially challenging for combinations of drug substances and dosage form. A reliable and efficient, stability-indicating, MS-compatible, reverse-phase ultra-performance liquid chromatographic (UPLC^®) method was developed for the determination of carvedilol and felodipine in a combination oral dosage form. The development of the method, performed using analytical quality by design (AQbD) principles, was in line with the future regulatory requirements. Furthermore, the fixed-dose combination dosage forms are a clear solution to the polypharmacy phenomenon in the elderly population. The main factors evaluated were the mobile phase buffer, organic modifier, column, flow, and column temperature. The optimum conditions were achieved with a Waters Acquity HSS T3 (100 × 2.1 mm i.d., 1.8 µm) column at 38 °C, using ammonium acetate buffer (5 mM, pH 4.5) (Solution A) and MeOH (Solution B) as mobile phases in gradient elution (t = 0 min, 10% B; t = 1.5 min, 10% B; t = 12.0 min, 90% B; t = 13.0 min, 10% B; t = 15.5 min, 10% B) at a flow rate of 0.2 mL/min and UV Detection of 240 and 362 nm for carvedilol (CAV) and felodipine (FLP), respectively. The linearity was demonstrated over concentration ranges of 30–650 µg/mL (R² = 0.9984) (CAV) and 32–260 µg/mL (R² = 0.9996) (FLP). Forced degradation studies were performed by subjecting the samples to hydrolytic (acid and base), oxidative, and thermal stress conditions. Standard solution stability was also performed. The proposed validated method was successfully used for the quantitative analysis of bulk, stability, and fixed-dose combination dosage form samples of the desired drug product. Using the AQbD principles, it is possible to generate methodologies with improved knowledge, leading to high-quality data, lower operation costs, and minimum regulatory risk. Furthermore, this work paves the way for providing a platform of robust analytical methods for the simultaneous quantification of innovative on-demand new dose combinations.

Sotaro Katayama, Noriaki Takasugi, Mitsuhisa Kaneko et al.

This paper presents a stochastic/robust nonlinear model predictive control (NMPC) to enhance the robustness of model-based legged locomotion against contact uncertainties. We integrate the contact uncertainties into the covariance propagation of stochastic/robust NMPC framework by leveraging the guard saltation matrix and an extended Kalman filter-like covariance update. We achieve fast stochastic/robust NMPC computation by utilizing the zero-order algorithm with additional improvements in computational efficiency concerning the feedback gains. We conducted numerical experiments and demonstrate that the proposed method can accurately forecast future state covariance and generate trajectories that satisfies constraints even in the presence of the contact uncertainties. Hardware experiments on the perceptive locomotion of a wheeled-legged robot were also carried out, validating the feasibility of the proposed method in a real-world system with limited on-board computation.

Anna Helena Sabandar, Sri Kasmiyati , Djohan

Mistletoe, a parasitic plant growing on nutmeg trees, is conventionally perceived as a parasitic entity with limited regard for its potential medicinal value. On the other hand, mistletoe has a remarkable potential source of valuable medicinal compounds, particularly in traditional healthcare, due to its secondary metabolites such as flavonoid, phenolic, ascorbic acid, and antioxidant activity. Nevertheless, both the host tree and the environment, like Pb, influence the adaptive responses of secondary metabolites. This study aimed to determine the secondary metabolites, such as flavonoids, phenolics, ascorbic acid, antioxidant activity, and Pb content in the leaves of D. vitellina and nutmeg (M. fragrans). The samples were obtained via maceration using ethanol. The spectrophotometric analysis method was used to measure several parameters, using particular reagents for phenolic compounds using Folin-Ciocalteu, flavonoids using AlCl3, and ascorbic acid using sulfosalicylic acid), antioxidant activity using DPPH, and Pb using the AAS method. The results indicated that D. vitellina possesses a higher concentration of flavonoid and phenolic compounds, followed by 3.36 ± 1.92 % (w/w) and 18.45 ± 2.35 % (w/w) respectively. Conversely, nutmeg had a significant ascorbic acid concentration of 3.99 ± 4.38 % (w/w). The significant presence of phenolics and flavonoids had a crucial role in the antioxidant activity seen in D. vitellina, which exhibited exceptionally potent antioxidant properties. All samples contain Pb, ranging from 0.09-2.10 µg/g, within the maximum allowable limits. Therefore, mistletoe is notable for being a reliable and encouraging plant species that can provide a natural supply of antioxidants and be safely used in traditional medicine.

Yu-Hsuan Liu, Ling-Chun Chen, Wen-Ting Cheng et al.

In recent years, combining different types of therapy has emerged as an advanced strategy for cancer treatment. In these combination therapies, oral delivery of anticancer drugs is more convenient and compliant. This study developed an irinotecan/rapamycin-loaded oral lecithin-based self-nanoemulsifying nanoemulsion preconcentrate (_LBSNENP_ir/ra) and evaluated its synergistic combination effects on pancreatic cancer. _LBSNENP loaded with irinotecan and rapamycin at a ratio of 1:1 (_LBSNENP_ir10/ra10) had a better drug release profile and smaller particle size (<200 nm) than the drug powder. Moreover, _LBSNENP_ir10/ra10 exhibited a strong synergistic effect (combination index [CI] < 1.0) in cell viability and combination effect studies. In the tumor inhibition study, the antitumor activity of _LBSNENP_{ir10/ra10/sily20} against MIA PaCa-2 (a human pancreatic cancer cell line) was significantly increased compared with the other groups. When administered with rapamycin and silymarin, the area under the curve and the maximum concentration of irinotecan significantly improved compared with the control. We successfully developed an irinotecan/rapamycin-loaded oral self-nanoemulsifying nanoemulsion system to achieve treatment efficacy for pancreatic cancer.

Janae Gonzales, Dustin R. Fraidenburg

Pulmonary hypertension (PH) frequently complicates chronic lung disease and is associated with high morbidity and poor outcomes. Individuals with interstitial lung disease and chronic obstructive pulmonary disease develop PH due to structural changes associated with the destruction of lung parenchyma and vasculature with concurrent vasoconstriction and pulmonary vascular remodeling similar to what is observed in idiopathic pulmonary arterial hypertension (PAH). Treatment for PH due to chronic lung disease is largely supportive and therapies specific to PAH have had minimal success in this population with exception of the recently FDA-approved inhaled prostacyclin analogue treprostinil. Given the significant disease burden of PH due to chronic lung diseases and its associated mortality, a great need exists for improved understanding of molecular mechanisms leading to vascular remodeling in this population. This review will discuss the current understanding of pathophysiology and emerging therapeutic targets and potential pharmaceuticals.

Barbara Happl, Marie Brandt, Theresa Balber et al.

The first-in-class ruthenium-based chemotherapeutic agent BOLD-100 (formerly IT-139, NKP-1339, KP1339) is currently the subject of clinical evaluation for the treatment of gastric, pancreatic, colorectal and bile duct cancer. A radiolabeled version of the compound could present a helpful diagnostic tool. Thus, this study investigated the pharmacokinetics of BOLD-100 in more detail to facilitate the stratification of patients for the therapy. The synthesis of [¹⁰³Ru]BOLD-100, radiolabeled with carrier added (c.a.) ruthenium-103, was established and the product was characterized by HPLC and UV/Vis spectroscopy. In order to compare the radiolabeled and non-radioactive versions of BOLD-100, both complexes were fully evaluated in vitro and in vivo. The cytotoxicity of the compounds was determined in two colon carcinoma cell lines (HCT116 and CT26) and biodistribution studies were performed in Balb/c mice bearing CT26 allografts over a time period of 72 h post injection (p.i.). We report herein preclinical cytotoxicity and pharmacokinetic data for BOLD-100, which were found to be identical to those of its radiolabeled analog [¹⁰³Ru]BOLD-100.

Shengzhe Wang, Zhixin Meng, and Peiqiang Yan et al.

We present a cold atomic beam source based on a two-dimensional (2D)+ magneto-optical trap (MOT), capable of generating a continuous cold beam of 87Rb atoms with a flux up to 4.3*10^9 atoms/s, a mean velocity of 10.96(2.20) m/s, and a transverse temperature of 16.90(1.56) uK. Investigating the influence of high cooling laser intensity, we observe a significant population loss of atoms to hyperfine-level dark states. To account for this, we employ a multiple hyperfine level model to calculate the cooling efficiency associated with the population in dark states, subsequently modifying the scattering force. Simulations of beam flux at different cooling and repumping laser intensities using the modified scattering force are in agreement with experimental results. Optimizing repumping and cooling intensities enhances the flux by 50%. The influence of phase modulation on both the pushing and cooling lasers is experimentally studied, revealing that the mean velocity of cold atoms can be tuned from 9.5 m/s to 14.6 m/s with a phase-modulated pushing laser. The versatility of this continuous beam source, featuring high flux, controlled velocity, and narrow transverse temperature, renders it valuable for applications in atom interferometers and clocks, ultimately enhancing bandwidth, sensitivity, and signal contrast in these devices.

Ruo-Ran Wang, Hongxing Fu, Jingya Li et al.

1 School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China 2 State Key Laboratory of Drug Research, the National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China 3 Department of Pathology and Pathophysiology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China 4 Department of Pharmacy, Shulan ( Hangzhou ) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou 310000, China * Correspondence to: Zhuo-Xian Meng, E-mail: zxmeng@zju.edu.cn ; Jingya Li, E-mail: jyli@simm.ac.cn

Cas Stefaan Dejonckheere, Adriana Torres-Crigna, Julian Philipp Layer et al.

Radiation dermatitis (RD) is the most common acute side effect of breast irradiation. More than a century following the therapeutic utilisation of X-rays, potent preventative and therapeutic options are still lacking. Non-invasive physical plasma (NIPP) is an emerging approach towards treatment of various dermatological disorders. In this study, we sought to determine the safety and feasibility of a NIPP device on RD. Thirty patients undergoing hypofractionated whole-breast irradiation were included. Parallel to radiation treatment, the irradiated breast was treated with NIPP with different application regimens. RD was assessed during and after NIPP/radiation, using clinician- and patient-reported outcomes. Additionally, safety and feasibility features were recorded. None of the patients was prescribed topical corticosteroids and none considered the treatment to be unpleasant. RD was less frequent and milder in comparison with standard skin care. Neither NIPP-related adverse events nor side effects were reported. This proven safety and feasibility profile of a topical NIPP device in the prevention and treatment of RD will be used as the framework for a larger intrapatient-randomised double-blind placebo-controlled trial, using objective and patient-reported outcome measures as an endpoint.

Jumpei Saito, Yoshiyuki Tachibana, Yuka Sano Wada et al.

Abstract Background A high prevalence of mental disorders including depression, anxiety, somatoform, and dissociative disorder is reported during pregnancy, however, information on the transfer of antipsychotics across the placenta and into breast milk is limited. We evaluated brotizolam, periciazine and sulpiride in cord blood, maternal serum, and breast milk, and alprazolam in breast milk. Case presentation A 38-year-old woman with dissociative disorder was treated with brotizolam, propericiazine, and sulpiride during pregnancy and lactation, and alprazolam during lactation. The drug concentration ratios for both cord blood and maternal serum were 33.3 and 61.5% for brotizolam and sulpiride, respectively, and periciazine (metabolite of propericiazine) was not detected in the cord blood. In breast milk, alprazolam (0.9 ng/mL), sulpiride (445.8 ng/mL), and periciazine (0.3 ng/mL) concentrations were noted at 7.5 h after the last dose on postpartum, whereas brotizolam was not detected. The relative infant doses via breast milk were 1.4, 2.7 and 0.02% of the maternal daily dose, respectively. The neonate had no congenital anomalies and did not experience any severe withdrawal symptoms after birth. Conclusion Use of brotizolam, propericiazine, and sulpiride during pregnancy and lactation, and use of alprazolam during lactation were acceptable in this case.

Muhammad Ahmer Raza, Shireen Aziz , Misbah Noreen et al.

Artificial Intelligence (AI) emerged as an intervention for data and number-related problems. This breakthrough has led to several technological advancements in virtually all fields from engineering to architecture, education, accounting, business, health, and so on. AI has come a long way in healthcare, having played significant roles in data and information storage and management – such as patient medical histories, medicine stocks, sale records, and so on; automated machines; software and computer applications like diagnostic tools such as MRI radiation technology, CT diagnosis and many more have all been created to aid and simplify healthcare measures. Inarguably, AI has revolutionized healthcare to be more effective and efficient and the pharmacy sector is not left out. During the past few years, a considerable amount of increasing interest in the uses of AI technology has been identified for analyzing as well as interpreting some important fields of pharmacy like drug discovery, dosage form designing, polypharmacology, and hospital pharmacy. Given the growing importance of AI, we wanted to create a comprehensive report which helps every practicing pharmacist understand the biggest breakthroughs which are assisted by the deployment of this field.

Ahmed Azad Kareem, Tavga Ahmed Aziz, Zheen Aorahman Ahmed et al.

The current study was designed to evaluate the anti-inflammatory effect of GKB in the rat model of granulomatous inflammation. Thirty rats were distributed into five groups:  The first group served as negative control group that received distilled water (DW) only without inducting inflammation, positive control group; treated with DW with the induction of inflammation and they were assigned to cotton pellet-induced granuloma, ginkgo biloba (GKB) treated group (200mg/kg/day), dexamethasone-treated group (1mg/kg), and Prednisolone treated group (5mg/kg). All the treatments were given orally for seven consecutive days.  On day eight, the rats were anesthetized and the pellets together with granulation tissue were carefully removed and made free from extraneous tissue. The weight and the percent of the exudate and granuloma were determined and samples of the tissues were sent for histopathological examination. Blood samples were collected by cardiac puncture and used for the analysis of the inflammatory markers: TNF-alfa, IL10, VCAM-1, and hs-CRP. The study revealed a significant reduction in the weight and the percent of exudate (p-value = 0.019), (17%) and granuloma (p-value = 0.013), (20%) by GKB which was comparable to that produced by prednisolone. All the treatment groups showed a significant reduction in serum TNF-?, VCAM-1, and hs-CRP concentration compared with the positive control. The histopathological finding revealed pronounced improvement. In the current study, GKB was effective in attenuating the level of inflammation by decreasing the exudate, granuloma, and inflammatory markers. The underlying mechanisms could be the inhibitory effect on the expression of the inflammatory cytokines and endothelial adhesion molecule. These findings suggest GKB as a good contender to be tested in the treatment of inflammatory diseases.