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All Journal Pharmacology and Clinical Pharmacy Research
Khairinisa, Miski A.
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Medicine & Pharmacology

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Prospect Study of Anti-inflammatory Activity by Identification of Muntingia calabura Leaf Infusion Permana, Shenny S.S; Yusuf, Muchamad R.A; Putri, Aufa A.D; Sukmayani, Jasmine Y.; Sudrajat, Ratu Z.A.P; Khairinisa, Miski A.; Wahyuni, Indah S.; Rohmawaty, Enny; Bashari, Muhammad H.; Lesmana, Ronny; Rosdianto, Aziiz M.
Pharmacology and Clinical Pharmacy Research Vol 9, No 1 (2024)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v9i1.49774

Abstract

Many diseases occur due to inflammation that is not handled properly. One of the feature of inflammation is swelling or edema. Inflammation can be handled with traditional medicine, such as Muntingia calabura L. (M. calabura L.) Pharmacologically, this plant extract is reported to have antipyretic, analgesic, anti-inflammatory, antioxidant, and antibacterial. Metabolite compound contained in M. calabura L. has the potential as an anti-inflammatory agent. The objective of this study is to ascertain the secondary metabolites contained in M. calabura L. leaves infusion. This experimental research method includes the simplicia making and infusion of M. calabura L. leaves by cold infusion and phytochemical screening. This study also showed that the infusion of M. calabura L. leaves contained flavonoids, alkaloids, and triterpenoids. Overall, the findings indicate potential as an anti-inflammatory agent that requires further investigation, specifically in preclinical testing. 
Effects of Centella Asiatica (L) Urb. on Cognitive Function in Hypothyroid Mice Offspring Khairinisa, Miski A.; Alfaqeeh, Mohammed; Patricia, Vinda M.
Pharmacology and Clinical Pharmacy Research Vol 8, No 2 (2023)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v8i2.48162

Abstract

Centella asiatica (C. asiatica) is widely used in traditional medicine due to its numerous health benefits. Among its reputed advantages are improved memory, intelligence, and neural protection. Impairment of cognitive function as a center for memory processing occurs due to perinatal hypothyroidism. Although several studies have shown that C. asiatica extract may improve memory function, the effectiveness of its extract as a memory enhancer for patients with perinatal hypothyroid is less unknown. Therefore, this study aimed to determine the effects of ethanol extract of C. asiatica (EEC) leaf as a memory enhancer in perinatal hypothyroid mice model. C. asiatica leaves were extracted by the decoction method, and the ethanol extract was administered to mice. the hypothyroid mouse model was developed by administering antithyroid agents to pregnant mice from gestational day (GD) 18 to postnatal day (PND) 21. The hypothyroid mice were administered either donepezil 5 mg/kg BW/mL (positive control) or treatment group (EEC 2 mg/kg BW/mL) from PND 21 to PND 35 (14 days). The light-dark test (LDT) and memory tests of offspring were conducted on PND 36. We found that EEC improved the cognition and memory of perinatal hypothyroidism mice. This study contributes to the foundational research for developing memory-enhancing supplement preparations, mainly targeting children with perinatal hypothyroidism.
Analysis of Cost-Effectiveness of Antihypertensive Therapy in Hypertension Patients at Al-Ihsan Regional Public Hospital in 2023 Isnaini, Masyitah; Widiarti, Widiah; Khairinisa, Miski A.
Pharmacology and Clinical Pharmacy Research Vol 9, No 1 (2024)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v9i1.54705

Abstract

Hypertension is a disease that causes an abnormal increase in blood pressure, which causes cardiovascular disease. Long-term hypertension therapy requires large costs. Apart from that, existing antihypertensives are also very varied, so a cost-effectiveness analysis is needed in order to choose medications that balance costs and advantages. This study aims to determine the most economical antihypertensive medication at Al-Ihsan Regional Public Hospital in Baleendah. Based on patient medical records, this study was carried out retrospectively. Therapy data and treatment costs are the basis for the data collection process. The data is processed descriptively. The reduction in blood pressure that meets the target and the length of stay (LOS) is used to determine how effective the therapy was; the ACER and ICER values are used to determine how cost-effective the procedure was. According to the research findings, the average total cost of group A (ACEI with CCB) is IDR 2,311,000.00, whereas group B (ARB with CCB) is IDR 2,888,823.00. The efficacy of group A (ACEI with CCB) was 83.3%, while group B (ARB with CCB) was 52.4%. The findings showed that among inpatient hypertension patients at Al-Ihsan Regional Public Hospital, group A (ACEI with CCB) was more cost-effective, with an Average Cost Effectiveness Ratio (ACER) value of IDR 27,743,097, than group B (ARB with CCB ACER value of IDR 55,130,209). Based on this study, therapy of group A (ACEI with CCB) offers excellent therapeutic efficacy at a reduced cost. Hospitals are expected to have the ability to handle their spending on hypertension medications appropriately and efficiently.
Pharmacokinetic Changes and Dosage Adjustment of Digoxin in Elderly Patients with Atrial Fibrillation: A Narrative Review Alfaqeeh, Mohammed; Permatasari, Lanny I.; Khairinisa, Miski A.; Rusdiana, Taofik
Pharmacology and Clinical Pharmacy Research Vol 8, No 2 (2023)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v8i2.48284

Abstract

Digoxin is a cardiac glycoside medication commonly used to control rapid heart rates in Atrial Fibrillation (AF). However, digoxin has a narrow therapeutic range and can be associated with adverse effects, including increased mortality risk, especially in the elderly. Pharmacokinetic changes occur with aging, affecting the way drugs are absorbed, distributed, metabolized, and eliminated from the body. Thus, this narrative review aimed to assess the optimization of digoxin dosing in elderly patients with AF while considering pharmacokinetic changes due to aging. We performed a comprehensive computerized search of relevant English articles and a manual examination of reference lists from primary sources formed the basis of this scoping review. This involved an extensive computerized search of relevant articles in English and a manual search of the reference lists of original articles. The review highlighted the need to carefully monitor digoxin levels in elderly patients due to changes in body composition, protein binding, hepatic clearance, renal excretion, and other factors affecting drug metabolism. Furthermore, we summarized guidelines and recommendations for optimizing digoxin dosing in elderly patients with AF. By shedding light on the intricacies of optimizing digoxin dosing in the elderly with atrial AF and emphasizing the significance of accounting for age-related pharmacokinetic changes, this review offers valuable insights for healthcare practitioners and researchers in the field. Addressing these aspects is crucial to enhancing therapeutic outcomes and minimizing potential risks associated with digoxin therapy in this vulnerable patient population
The Rise of Artificial Intelligence in Pharmacy: Transforming Medication Management and Patient Care Anastasya, Gracia; Khairinisa, Miski A.
Pharmacology and Clinical Pharmacy Research Vol 9, No 2 (2024)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v9i2.57699

Abstract

Artificial intelligence (AI) is rapidly transforming healthcare, with significant implications for pharmacy practice. This review explores the diverse applications of AI in pharmacy, emphasizing its potential to revolutionize medication management, patient care, public health, disease management, and pharmacy workflow efficiency. AI algorithms can analyze a vast amount of patient data, allowing pharmacists to identify potential drug interactions, evaluate medication safety and effectiveness, and offer personalized treatment suggestions. In the realm of public health, AI supports disease management through epidemiological monitoring and targeted interventions. Additionally, AI-driven robotic dispensing systems and automated inventory management enhance pharmacy workflow efficiency by streamlining operations and optimizing resource allocation. Telepharmacy, further augmented by AI, expands access to healthcare, promotes patient engagement, and facilitates remote clinical consultations, thereby improving overall care delivery. Despite these advancements, challenges such as data privacy and potential bias in AI algorithms persist. However, the potential of AI in pharmacy is undeniable. By addressing these challenges and fostering collaboration among pharmacists, AI developers, and regulatory bodies, the future of pharmacy is poised to deliver personalized care, improved patient outcomes, and enhanced public health.This integration of AI into pharmacy practice represents a significant step toward a more effective and patient-centered approach to healthcare.
Co-Authors Alfaqeeh, Mohammed Anastasya, Gracia Bashari, Muhammad H. Enny Rohmawaty Isnaini, Masyitah Lanny Indah Permatasari, Lanny Indah Patricia, Vinda M. Permana, Shenny S.S Putri, Aufa A.D Ronny Lesmana Rosdianto, Aziiz M. Sudrajat, Ratu Z.A.P Sukmayani, Jasmine Y. Taofik Rusdiana Wahyuni, Indah S. Widiarti, Widiah Yusuf, Muchamad R.A