METHODS: A total of 156 pregnant women were recruited. Maternal weight was collected at different gestational weeks. Maternal age, body mass index, delivery mode, delivery week, and infant weight were also recorded. Maternal data were restructured into a person-period format before mixed-effects multiple logistic regression was used. Various weight variables with either a fixed effect or time-varying effects were tested in the model.
RESULTS: Thirty (19.23%) women had delivered low birth weight or premature babies. Multiple logistic regression model demonstrated that mothers with higher increases in weight at 32 weeks of gestation than that in the predelivery stage had a lower probability of having a low birth weight or premature baby (odds ratio [OR] = 0.64; 95% CI, 0.49-0.85; p < 0.001). Women with a weight increase of more than 2 kg in a 4-week gestation period had a higher probability of having a low birth weight or premature baby than those with an increment of <1 kg (OR = 8.43; 95% CI, 2.90-24.54; p < 0.001).
CONCLUSION: An increase in weight gain after 32 weeks was shown to reduce the risk of low birth weight and premature babies. Maternal weight monitoring was suggested to be conducted every 4 weeks to minimize the chance of having a low birth weight and premature baby.
MATERIALS AND METHODS: A cross-sectional study was conducted among 500 pharmacists using a structured validated questionnaire between November 2020 and February 2021. The Mann-Whitney and Kruskal-Wallis tests were used to analyze the data.
RESULTS: A total of 456 pharmacists completed the questionnaire out of 500 distributed (91.2% response rate). Over 60% of participants responded with never or rarely for two out of five cardiovascular diseases (CVD) prevention practices. The lowest pharmacist-patient counseling practices were for side effects of statin medication (14.5%) and reviewing the patient's medications to avoid potential statin-drug interactions (31.8%). Participants had a high positive attitude (median = 34 out of 40). The three major barriers for risk assessment were the lack of support (74.8%), the lack of resources (70.6%), and inadequate training (48.7%). Interestingly, having ≤75 customers a day, community pharmacies, PharmD degree, age ≥30 years, and experience ≥6 years were significantly associated (p < .05) with higher CVD prevention activities and counseling practices.
CONCLUSION: Pharmacists have a high positive attitude toward CVD risk assessment. However, they had insufficient knowledge and only provided limited activities and counseling services for CVD prevention and statin therapy. Participants perceived several barriers to CVD risk assessment services in pharmacies. Therefore, it is necessary to remove these impediments for pharmacists to be more involved in CVD risk assessment and prevention. Also, continuing medical education and adequate training for pharmacists are required.
METHODS: A literature search was performed on six databases using the terms "malnutrition", "hospitalised elderly", "nutritional assessment", "Mini Nutritional Assessment (MNA)", "Geriatric Nutrition Risk Index (GNRI)", and "Subjective Global Assessment (SGA)".
RESULTS: According to the previous studies, the prevalence of malnutrition among hospitalized elderly shows an increasing trend not only locally but also across the world. Under-recognition of malnutrition causes the number of malnourished hospitalized elderly to remain high throughout the years. Thus, the development of nutritional screening and assessment tools has been widely studied, and these tools are readily available nowadays. SGA, MNA, and GNRI are the nutritional assessment tools developed specifically for the elderly and are well validated in most countries. However, to date, there is no single tool that can be considered as the universal gold standard for the diagnosis of nutritional status in hospitalized patients.
CONCLUSION: It is important to identify which nutritional assessment tool is suitable to be used in this group to ensure that a structured assessment and documentation of nutritional status can be established. An early and accurate identification of the appropriate treatment of malnutrition can be done as soon as possible, and thus, the malnutrition rate among this group can be minimized in the future.
METHODS: Methods involved were MTT assay (cytotoxic activity), morphological cells analysis, flow cytometry and cell cycle analysis and western blot.
RESULTS: MTT assay revealed IC50 concentration was 1.61 µg/mL, 3T3-L1 cell lines were used to determine whether AgNps-CN is cytotoxic to normal cells. At the highest concentration (3 µg/mL), no cytotoxic activity has been observed. Flow cytometry assay revealed AgNps-CN caused apoptosis effects towards HSC-4 cell lines with significant changes were observed at G1 phase when compared with untreated cells. Morphological cells analysis revealed that most of the cells exhibit apoptosis characteristics rather than necrosis. Protein study revealed that ratio of Bax/Bcl-2 increased mainly due to down-regulation of Bcl-2 expression.
CONCLUSION: AgNps-CN have shown potential in inhibiting HSC-4 cell lines. IC50 was low compared to few studies involving biosynthesized of silver nanoparticles. Apoptosis effects were shown towards HSC-4 cell lines by the increased in Bax/Bcl-2 protein ratio. Further study such as PCR or in vivo studies are required.
METHODS: This cross-sectional study was conducted on 409 college students aged above 18 in Malaysia. The chrononutrition behavior was assessed using the validated Chrononutrition Profile Questionnaire (CP-Q). The questionnaire was distributed using an online platform. Participants self-reported their body weight and height, and the Body Mass Index (BMI) was computed. Data were analyzed using the SPSS software.
RESULTS: A total of 409 participants were recruited, with a mean age of 21.5 ± 2.2 years. The prevalence of underweight, normal, and overweight was 24.7, 49.4, and 25.9%, respectively. The chrononutrition behavior revealed that participants ate breakfast about four times/week (mean 4.27 ± 2.43 days), and only 135 (33.0%) consumed breakfast daily. The largest meal consumed was during lunch (75.8%), and the mean of snacking after the last meal was 3.23 ± 2.01 days. The prevalence of night eating was low, and most participants (70.9) did not wake up at night to eat. The frequency, however, was significantly higher in the underweight group compared to the normal weight group (p < 0.05). We observed a significant association between BMI and eating window, evening latency, evening eating, and night eating. It was found that the underweight had a poor eating window (p < 0.01), poor evening latency (p < 0.01), poor evening eating (p < 0.01), and poor night eating (p < 0.05) compared to those with normal and overweight BMI groups. In contrast to predictions, poor chrononutrition behavior was more likely to predict being underweight compared to normal (p < 0.05).
CONCLUSION: Underweight young adults are more likely to have poor chrononutrition behavior. The results of the present study suggest that future nutrition education should also focus on the chrononutrition behavior of college students.
METHODS: AI-based chatbots (ie, ChatGPT-3.5, ChatGPT-4, Microsoft Bing AI, and Google Bard) were compared for their abilities to detect clinically relevant DDIs for 255 drug pairs. Descriptive statistics, such as specificity, sensitivity, accuracy, negative predictive value (NPV), and positive predictive value (PPV), were calculated for each tool.
RESULTS: When a subscription tool was used as a reference, the specificity ranged from a low of 0.372 (ChatGPT-3.5) to a high of 0.769 (Microsoft Bing AI). Also, Microsoft Bing AI had the highest performance with an accuracy score of 0.788, with ChatGPT-3.5 having the lowest accuracy rate of 0.469. There was an overall improvement in performance for all the programs when the reference tool switched to a free DDI source, but still, ChatGPT-3.5 had the lowest specificity (0.392) and accuracy (0.525), and Microsoft Bing AI demonstrated the highest specificity (0.892) and accuracy (0.890). When assessing the consistency of accuracy across two different drug classes, ChatGPT-3.5 and ChatGPT-4 showed the highest variability in accuracy. In addition, ChatGPT-3.5, ChatGPT-4, and Bard exhibited the highest fluctuations in specificity when analyzing two medications belonging to the same drug class.
CONCLUSION: Bing AI had the highest accuracy and specificity, outperforming Google's Bard, ChatGPT-3.5, and ChatGPT-4. The findings highlight the significant potential these AI tools hold in transforming patient care. While the current AI platforms evaluated are not without limitations, their ability to quickly analyze potentially significant interactions with good sensitivity suggests a promising step towards improved patient safety.
METHODS: This observational cross-sectional study was conducted over four months, from June/2021 to September/2021, in Sana'a, Yemen. A validated questionnaire was distributed face-to-face to 650 participants (350 physicians and 300 pharmacists). Physicians and pharmacists from governmental and private hospitals and those working in private clinics or community pharmacies were included in the study.
RESULTS: A total of 496 participants filled out the survey, with 22 being excluded due to incomplete data. So, the study has an overall response rate of 72.9% (474). The majority of pharmacists (81.8%) and physicians (78.7%) could not identify the patient group that needed ASCVD risk assessment before statin therapy initiation. Although a significant proportion of respondents knew of the fact that high-intensity statins are recommended for patients with ASCVD (65.4%) and primary hypercholesterolemia (58.4%), the majority of physicians and pharmacists could not identify the high (61.6% and 66.7.3%, respectively) and moderate statin-intensity doses (72.2% and 68.6%, respectively). Only 21.9% of all respondents knew that atorvastatin and rosuvastatin can be administered at any time of the day. Similarly, a low overall rate of respondents (19.6%) knew that atorvastatin does not need dose adjustment in chronic kidney diseases, with a statistically significant difference in knowledge between physicians and pharmacists (12.5% vs. 25.6%, p <0.001, respectively). Notably, only 39.2% of participants were aware that statins are not safe to use during breastfeeding. Around half of respondents (52.3%) correctly identify the duration (4 to 12 weeks) at which LD-C measuring is recommended after therapy initiation or dose change. The lowest knowledge scores for respondents were related to statin-drug interactions. Age, experience, degree, and previous guideline exposure were all significantly associated with the knowledge scores (p <0.05). The four most perceived barriers to implementing cholesterol management guidelines were no audit on adherence to the guidelines in the workplace (73.4%), insufficient resources to adequately implement and follow up on the guideline's recommendations (73.6%), patient's financial status (75.7%), and lack of familiarity about the guideline's latest recommendations (63.3%).
CONCLUSION: Physicians and pharmacists had suboptimal clinical knowledge regarding statin therapy, dose intensities, drug-drug interaction, contraindications, and monitoring parameters. Therefore, physicians' and pharmacists' educational interventions regarding the up-to-date recommendation about statins are recommended.
RESULTS: The energy band gap, refractive index, dielectric constant, and optical conductivity of the electron donor polymer, poly(triamterene-co-terephthalate), were determined to be 2.92 eV, 1.56, 2.44 and 2.43 × 104 S cm-1, respectively. The synthesized electron acceptor polymers showed a relatively high refractive index, dielectric constant, and optical conductivity. The presence of a direct allowed transition was confirmed between intermolecular energy bands of the polymers.
CONCLUSIONS: The polymers showed relatively high energy gap and deep HOMO levels, making them strong absorbers of photons in the UV region and high energy part of the visible region. The synthesized donor and acceptors performed well relative to P3HT and fullerenes due to the close match of the HOMO and LUMO levels. With further development, the polymers could be viable for use as the active layers of semi-transparent solar cells.
METHODS: This cross-sectional study was carried out between May and June 2023 to assess the potential and problems that pharmacists observed while integrating chatbots powered by AI (ChatGPT) in pharmacy practice. The correlation between perceived benefits and concerns was evaluated using Spearman's rho correlation due to the data's non-normal distribution.Any pharmacists licensed by the Jordanian Pharmacists Association were included in the study. A convenient sampling technique was used to choose the participants, and the study questionnaire was distributed utilizing an online medium (Facebook and WhatsApp). Anyone who expressed interest in taking part was given a link to the study's instructions so they may read them before giving their electronic consent and accessing the survey.
RESULTS: The potential advantages of ChatGPT in the pharmacy practice were widely acknowledged by the participants. The majority of participants (69.9%) concurred that educational material about pharmacy items or therapeutic areas can be provided using ChatGPT, with 66.9% of respondents believing that ChatGPT is a machine learning algorithm. Concerns about the accuracy of AI-generated responses were also prevalent. More than half of the participants (55.7%) raised the possibility that AI systems such as ChatGPT could pick up on and replicate prejudices and discriminatory patterns from the data they were trained on. Analysis shows a statistically significant positive link, albeit a minor one, between the perceived advantages of ChatGPT and its drawbacks (r = 0.255, p