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Key summary points: Aim: The recent World Guidelines for Falls Prevention and Management provide several recommendations on how to prevent medication-related falls. Findings: Medication review and deprescribing are key interventions in falls prevention and should be structured, personalized, and patient-centered. Preferably, the medication review should be conducted as part of a comprehensive geriatric assessment. Message: Improved information sharing between various prescribers, deprescribing recommendations implemented in guidelines, and increased education and training for health care professionals are warranted to facilitate the deprescribing process. Falls prevention and management in older adults is a critical global challenge. One of the key risk factors for falls is the use of certain medications. Therefore, to prevent medication-related falls, the following is recommended in the recent World Guidelines for Falls Prevention and Management: (1) assess for fall history and the risk of falls before prescribing potential fall-risk-increasing drugs (FRIDs), (2) use a validated, structured screening and assessment tool to identify FRIDs when performing a medication review, (3) include medication review and appropriate deprescribing of FRIDs as a part of the multifactorial falls prevention intervention, and (4) in long-term care residents, if multifactorial intervention cannot be conducted due to limited resources, the falls prevention strategy should still always include deprescribing of FRIDs. In the present statement paper, the working group on medication-related falls of the World Guidelines for Falls Prevention and Management, in collaboration with the European Geriatric Medicine Society (EuGMS) Task and Finish group on FRIDs, outlines its position on how to implement and execute these recommendations in clinical practice. Preferably, the medication review should be conducted as part of a comprehensive geriatric assessment to produce a personalized and patient-centered assessment. Furthermore, the major pitfall of the published intervention studies so far is the suboptimal implementation of medication review and deprescribing. For the future, it is important to focus on gaining which elements determine successful implementation and apply the concepts of implementation science to decrease the gap between research and practice. [ABSTRACT FROM AUTHOR]

Adverse drug reactions (ADRs), which are harmful physical reactions of patients to drug treatments, are inherent to the nature of drugs; the reactions can occur with any drug and are becoming a leading cause of patient morbidity and mortality during medical procedures. ADRs can be hazardous and even fatal to patients. In traditional methods, ADRs are detected through clinical trials. To obtain a comprehensive collection of ADRs, sufficient experimental samples and time are required before a drug comes to the market, which is not a realistic possibility. Moreover, even if extensive clinical trials are performed, many undetected ADRs might still be discovered after a drug is released to the market. ADRs can lead to disastrous consequences for humanity, which obviates a dramatically increased need for precise predictions of potential ADRs as early as possible. In this paper, we propose an encoder-decoder framework based on attention mechanism and the long short-term memory (LSTM) model to predict potential ADRs. We regard the prediction of ADRs as a sequence-to-sequence problem and improve the encoder-decoder framework based on the attention mechanism to learn the interrelationships between ADRs. Unlike other classical methods utilizing molecular drug structures, our model is based solely on ADRs, which is an independent but parallel approach compared to traditional methods. We capitalize on the mask method to generate the target data and use the 5-fold cross-validation method to cyclically verify the performance of our proposed model. Based on the Top-k accuracy test results, our model outperforms the baseline models in potential ADRs predictions. [ABSTRACT FROM AUTHOR]

Background: Spontaneous reporting of adverse drug reactions (ADRs) is essential for the post-marketing safety evaluation of drugs. Therefore, good monitoring of ADRs is vital for strengthening drug supervision, management, and guiding rational drug use. Chinese medical institutions are the primary source of ADR case reports, but the proportion of the reports in grade IIIA hospitals is still low due to serious under-reporting. The 3rd Affiliated Hospital of Chengdu Medical College, Chengdu Pidu District People's Hospital, also has such a problem. Objective: To improve the quantity and quality of ADR reports and enhance the level of pharmacovigilance in hospitals, the Third Affiliated Hospital of Chengdu Medical College, People's Hospital of Chengdu Pidu District experienced 10 years to gradually establish a management model to improve the medical staff's reporting rate of spontaneous reporting of ADRs. The management model is led by clinical pharmacists and combines the PDCA with Teach-back methods. The purpose of this paper is to introduce the management model and discuss its advantages and shortcomings of this model. Methods: This study was conducted at the Third Affiliated Hospital of Chengdu Medical College—Chengdu Pidu District People's Hospital. From 2016, the daily management of reporting, auditing, and data improvement of adverse drug reactions in the hospital was carried out by clinical pharmacists, who used the PDCA method combined with the Teach-back method to continuously improve the reporting program of ADRs in the hospital during 2016–2021. Then, the proportion of spontaneous reports of total, new, and serious ADRs was compared before and after the intervention. Also, we performed a time series analysis using an autoregressive moving average model to assess changes in the total number of spontaneous ADR reports before the intervention (2013–2015), the first intervention (2016–2018), and the second intervention (2019–2021). Results: After the combined PDCA and Teach-back method intervention, the median number of reported ADRs per year increased from 50 (range 37–55) in the pre-intervention period to 88 (range 83–162) in the first intervention period and to 374 in the second (range 312–566). Breakpoint regression analysis of the spontaneous reporting rate of ADRs showed that the instantaneous increase after the first intervention was not statistically significant (P = 0.526). However, the reporting rate of ADRs increased at a month-by-month growth rate during the second intervention compared to the first intervention. Its spontaneous reporting rate improved 1.034 times (P = 0.002). After the second intervention, the spontaneous reporting rate of ADRs transiently increased 6.111-fold (P < 0.001), and the month-to-month growth rate increased 1.024-fold (P < 0.001) again. Conclusion: The management model that combines the PDCA and the Teach-back method significantly improves the reporting rate of adverse drug reactions. [ABSTRACT FROM AUTHOR]

In Morocco, chloroquine/hydroxychloroquine + azithromycin have been used off-label for COVID-19 treatment. This study aimed to describe the distribution, nature and seriousness of the adverse drug reactions (ADRs) associated with the two drug combinations in COVID-19 in-patients. We conducted a prospective observational study based on intensive pharmacovigilance in national COVID-19 patients' management facilities from April 1 to June 12, 2020. Hospitalized patients treated with chloroquine/hydroxychloroquine + azithromycin and who experienced ADRs during their hospital stay were included in the study. The causality and seriousness of the ADRs were assessed using the World Health Organization-Uppsala Monitoring Centre method and the agreed criteria in the ICH guideline (E2A) respectively. A total of 237 (51.7%) and 221 (48.3%) COVID-19 in-patients treated respectively with chloroquine + azithromycin and hydroxychloroquine + azithromycin experienced 946 ADRs. Serious ADRs occurred in 54 patients (11.8%). Gastrointestinal system was most affected both in patients taking chloroquine + azithromycin (49.8%) or hydroxychloroquine + azithromycin (54.2%), followed by nervous system and psychiatric. Eye disorders were more frequent in patients receiving chloroquine + azithromycin (10.3%) than those receiving hydroxychloroquine + azithromycin (1.2%). Cardiac ADRs accounted for 6.4% and 5.1% respectively. Chloroquine + azithromycin caused more ADRs by patients than hydroxychloroquine + azithromycin (2.6 versus 1.5 ADRs/patient). Causality assessment was possible for 75.7% of the ADRs. Diabetes was identified as a risk factor for serious ADRs (ORa 3.56; IC: 95% 1.5–8.6). The off-label use of the two drug combinations in COVID-19 in-patients according to the national therapeutic protocol seems to be safe and tolerable. ADRs were mainly expected. However, precaution should be taken in using the drugs in diabetic patients to prevent the risk of serious ADRs. [ABSTRACT FROM AUTHOR]

Background: The Yellow Card Scheme was created in 1964 to oversee new and existing medicines and medical devices, and act as an early warning system for unexpected adverse drug reactions (ADRs). Under-reporting within the system is a known issue, estimated to be as high as 94% in a 2006 systematic review. Anticoagulants are often prescribed in the UK to prevent stroke in patients with atrial fibrillation but can be associated with gastrointestinal bleeding as a common ADR. Aim: The study aimed to investigate the incidence of suspected DOAC-related GI bleeds at a North-West England hospital and explore the volume of these incidents reported through the MHRA Yellow Card Scheme, over a 5-year period. Method: Hospital coding data was used to identify patient records with GI bleeding and cross-referenced with electronic prescribing records for anticoagulant usage. Additionally, pharmacovigilance reporting activity for the Trust was obtained from the MHRA Yellow Card Scheme. Results: For the period investigated, the Trust recorded 12,013 GI bleed related emergency admissions. Of these admissions, 1058 patients were taking a DOAC. During the same time period, a total of 6 DOAC-related pharmacovigilance reports were made by the trust. Conclusion: Utilisation of the Yellow Card System for reporting potential ADR is poor, leading to under-reporting of ADRs. [ABSTRACT FROM AUTHOR]

Background: Algorithms for causality assessment of adverse drug reactions (ADRs) in a neonatal intensive care unit (NICU) are important in the management of adverse events, however, it is inconclusive which tool best suits pharmacovigilance in neonates. Aim: To compare the performance of the algorithms of Du and Naranjo in determining causality in cases of ADRs in neonates in a NICU. Method: This observational and prospective study was conducted in a NICU of a Brazilian maternity school between January 2019 and December 2020. Independently, three clinical pharmacists used the algorithms of Naranjo and Du in 79 cases of ADRs in 57 neonates. The algorithms were evaluated for inter-rater and inter-tool agreement using Cohen's kappa coefficient (k). Results: The Du algorithm showed greater ability to identify definite ADRs (≈ 60%), but had low reproducibility (overall k = 0.108; 95% CI 0.064–0.149). In contrast, the Naranjo algorithm showed a lower proportion of definite ADRs (< 4%), but had good reproducibility (overall k = 0.402; 95% CI 0.379–0.429). The tools showed no significant correlation regarding ADR causality classification (overall k = − 0.031; 95% CI − 0.049 to 0.065). Conclusion: Although the Du algorithm has a lower reproducibility compared to the Naranjo, this tool showed good sensitivity for classifying ADRs as definite, proving to be a more suitable tool for neonatal clinical routine. [ABSTRACT FROM AUTHOR]

Background: Only 5–10% of all adverse drug reactions (ADRs) are reported. Mechanisms to support patient and public reporting offer numerous advantages to health care systems including increasing reporting rate. Theory-informed insights into the factors implicated in patient and public underreporting are likely to offer valuable opportunity for the development of effective reporting-interventions and optimization of existing systems. Aim: To collate, summarize and synthesize the reported behavioral determinants using the theoretical domains framework (TDF), that influence patient and public reporting of ADRs. Method: Cochrane, CINAHL, Web of science, EMBASE and PubMed were systematically searched on October 25th, 2021. Studies assessing the factors influencing public or patients reporting of ADRs were included. Full-text screening, data extraction and quality appraisal were performed independently by two authors. Extracted factors were mapped to TDF. Results: 26 studies were included conducted in 14 countries across five continents. Knowledge, social/professional role and identity, beliefs about consequences, and environmental context and resources, appeared to be the most significant TDF domains that influenced patient and public behaviors regarding ADR reporting. Conclusion: Studies included in this review were deemed of low risk of bias and allowed for identification of key behavioural determinants, which may be mapped to evidence-based behavioral change strategies that facilitate intervention development to enhance rates of ADR reporting. Aligning strategies should focus on education, training and further involvement from regulatory bodies and government support to establish mechanisms, which facilitate feedback and follow-ups on submitted reports. [ABSTRACT FROM AUTHOR]

Several vaccines have been developed for coronavirus disease 2019 (COVID-19) and are used worldwide. Here we report a case of severe acute hepatitis induced by COVID-19 vaccination. A 54-year-old woman received two doses of the Pfizer-BioNTech COVID-19 mRNA vaccine and an additional dose of the Moderna COVID-19 mRNA vaccine. Seven days after the third dose, she noticed fatigue, appetite loss and dark urine. Laboratory tests were consistent with severe liver injury and jaundice. Anti-smooth muscle antibody and HLA-DR4 were positive; thus, we suspected that she had autoimmune hepatitis (AIH). Intravenous methylprednisolone followed by oral prednisolone were administered. Because remission was not achieved, we performed percutaneous liver biopsy. Histologically, pan-lobular inflammation with moderate infiltration of lymphocytes and macrophages, interface hepatitis, and rosette formation were present. We regarded these findings as confirmation of the diagnosis of AIH. As she had not responded to corticosteroids, we added azathioprine. Liver biochemistry tests gradually improved, and prednisolone could be tapered without relapse of AIH. Dozens of cases of AIH after COVID-19 vaccination have been reported. Corticosteroids were effective in most cases, but some patients have died from liver failure after vaccination. This case illustrates the efficacy of azathioprine for steroid-refractory AIH induced by COVID-19 vaccination. [ABSTRACT FROM AUTHOR]

The list of drugs patients may be exposed to during the perioperative and postoperative periods is potentially extensive. It includes induction agents, neuromuscular blocking drugs (NMBDs), opioids, antibiotics, sugammadex, colloids, local anesthetics, polypeptides, antifibrinolytic agents, heparin and related anticoagulants, blue dyes, chlorhexidine, and a range of other agents depending on several factors related to individual patients' clinical condition and progress in the postoperative recovery period. To avoid poor or ultrarapid metabolizers to a particular drug (for example tramadol and codeine) or possible adverse drug reactions (ADRs), some drugs may need to be avoided during or after surgery. This will be the case for patients with a history of anaphylaxis or other adverse events/intolerances to a known drug. Other drugs may be ceased for a period before surgery, e.g., anticoagulants that increase the chance of bleeding; diuretics for patients with acute renal failure; antihypertensives relative to kidney injury after major vascular surgery; and serotonergic drugs that together with some opioids may rarely induce serotonin toxicity. Studies of germline variations shown by genotyping and phenotyping to identify a predisposition of genetic factors to ADRs offer an increasingly important approach to individualize drug therapy. Studies of associations of human leukocyte antigen (HLA) genes with some serious delayed immune-mediated reactions are ongoing and variations of drug-metabolizing cytochrome CYP450 enzymes, P-glycoprotein, and catechol-O-methyltransferase show promise for the assessment of ADRs and non-responses to drugs, particularly opioids and other analgesics. Surveys of ADRs from an increasing number of institutions often cover small numbers of patients, are retrospective in nature, fail to clearly identify culprit drugs, and do not adequately distinguish immune-mediated from non-immune-mediated anaphylactoid reactions. From the many surveys undertaken, the large list of agents identified during and after anesthesia and surgery are examined for their ADR involvement. Drugs are classified into those most often involved, (NMBD and antibiotics); drugs that are becoming more frequently implicated, namely antibiotics (particularly teicoplanin), and blue dyes; those becoming less frequently involved; and drugs more rarely involved in perioperative, and postoperative adverse reactions but still important and necessary to keep in mind for the occasional potential sensitive patient. Clinicians should be aware of the similarities between drug-induced true allergic type I IgE/FcεRI- and pseudoallergic MRGPRX2-mediated ADRs, the clinical features of each, and their distinguishing characteristics. Procedures for identifying MRGPRX2 agonists and diagnosing and distinguishing pseudoallergic from allergic reaction mechanisms are discussed. [ABSTRACT FROM AUTHOR]

Co-administration of drugs often leads to drug–drug interactions, which could be accompanied by various adverse drug reactions that pose a threat to life and health of the patient. The effect caused by adverse drug reactions on cardiovascular system is one of the most significant manifestations of drug–drug interaction. Clinical assessment of adverse drug reactions resulting from drug–drug interaction between all drug pairs used in therapeutic practice is not possible. The purpose of this work was to build models using structure–activity analysis to predict adverse effects of drugs on cardiovascular system, mediated by pairwise interactions between the drug pairs when they are taken together. Data on the adverse effects resulting from drug–drug interaction were obtained from the DrugBank database. The data on drug pairs that do not cause such effects, which are necessary for building accurate structure–activity models, were obtained from the TwoSides database, which contains the results of analysis of the spontaneous reports. Two types of descriptors were used to describe a pair of drug structures: PoSMNA descriptors and probabilistic estimates of the prediction of biological activities obtained using the PASS program. Structure–activity relationships were established using the Random Forest method. Prediction accuracy was calculated by means of five-fold cross-validation. The highest accuracy values were obtained using PASS probabilistic estimates as descriptors. The area under the ROC curve was 0.94 for bradycardia, 0.96 for tachycardia, 0.90 for arrhythmia, 0.90 for ECG QT prolongation, 0.91 for hypertension, 0.89 for hypotension. [ABSTRACT FROM AUTHOR]

Introduction: Nintedanib is recommended for the treatment of idiopathic pulmonary fibrosis (IPF); however, treatment discontinuation due to adverse events (AEs) is common. A large-scale post-marketing surveillance study is investigating the real-world tolerability/safety of nintedanib in Japanese patients with IPF in routine clinical practice. Here, we report a 12-month interim analysis of this study. Methods: The study included Japanese patients with IPF who started nintedanib between 31 August 2015 and 25 December 2018. The primary outcome was the frequency of adverse drug reactions (ADRs), defined as AEs for which a causal relationship with nintedanib could not be excluded. The secondary outcome was change from baseline in forced vital capacity (FVC). Outcomes were analysed in patients who stopped ('discontinued' subgroup) and continued ('continued' subgroup) nintedanib after 12 months. A multivariate analysis was performed to determine potential risk factors for treatment discontinuation. Results: Of 5578 patients in the safety analysis set, 2795 (50.1%) discontinued nintedanib within 12 months of treatment initiation. Overall, 3767 patients (67.5%) had ADRs, with 1356 (24.3%) discontinuing nintedanib because of an ADR. Among patients in the 'discontinued' subgroup (n = 2795), 1442 (51.6%) discontinued because of an ADR. The most common ADRs causing discontinuation within 3 and 12 months were hepatic function abnormal (n = 137/730; 18.8%) and diarrhoea (n = 190/1442; 13.2%), respectively. At 12 months, the decrease in FVC from baseline was smaller in the 'continued' versus the 'discontinued' subgroup (adjusted mean ± standard error change − 104.4 ± 10.9 ml vs. − 311.2 ± 29.2 ml). Stage III/IV IPF and FVC < 70% predicted at baseline were risk factors for early treatment discontinuation. Conclusion: About 50% of Japanese patients with IPF discontinued nintedanib within the first year of treatment, with worse lung function being associated with an increased risk of early treatment discontinuation. Trial registration: ClinicalTrials.gov: NCT02607722; European Union electronic register of Post-Authorisation Studies: EUPAS10891. [ABSTRACT FROM AUTHOR]

Side effects are ubiquitous in medicine and they often play a role in treatment decisions for patients and clinicians alike. Philosophers and health researchers often use side effects to illustrate issues with contemporary medical research and practice. However, technical definitions of ‘side effect’ differ among health authorities. Thus, determining the side effects of an intervention can differ depending on whose definition we assume. Here I review some of the common definitions of side effect and highlight their issues. In response, I offer an account of side effects as jointly (i) unintended and (ii) effects due to the causal capacities or invariances of an intervention. I discuss (i) by examining the intentions or reasons behind therapeutic interventions, and I discuss (ii) by appealing to a manipulationist model of causation. The analysis here highlights that side effects are conceptually distinct from related outcomes like adverse events, adverse drug reactions, and placebo effects. The analysis also allows for reflection on the utility of ‘side effect’ as a technical term in medical research and practice. [ABSTRACT FROM AUTHOR]

Cancer patients need multimodal therapies to treat their disease increasingly. In particular, drug treatment, as chemotherapy, immunotherapy, or various associations between them are commonly used to increase efficacy. However, the use of drugs predisposes a percentage of patients to develop toxicity in multiple organs and systems. Principle chemotherapy drugs mechanism of action is cell replication inhibition, rapidly proliferating cells especially. Immunotherapy is another tumor therapy strategy based on antitumor immunity activation trough agents as CTLA4 inhibitors (ipilimumab) or PD-1/PD-L1 inhibitors as nivolumab. If, on the one hand, all these agents inhibit tumor growth, on the other, they can cause various degrees toxicity in several organs, due to their specific mechanism of action. Particularly interesting are bowel toxicity, which can be clinically heterogeneous (pain, nausea, diarrhea, enterocolitis, pneumocolitis), up to severe consequences, such as ischemia, a rare occurrence. However, this event can occur both in vessels that supply intestine and in submucosa microvessels. We report drug-related intestinal vascular damage main characteristics, showing the radiological aspect of these alterations. Interpretation of imaging in oncologic patients has become progressively more complicated in the context of "target therapy" and thanks to the increasing number and types of therapies provided. Radiologists should know this variety of antiangiogenic treatments and immunotherapy regimens first because they can determine atypical features of tumor response and then also because of their eventual bowel toxicity. [ABSTRACT FROM AUTHOR]

Drug–drug interaction (DDI) often causes serious adverse reactions and thus results in inestimable economic and social loss. Currently, comprehensive DDI evaluation has become a major challenge in pharmaceutical research due to the time-consuming and costly process of the experimental assessment and it is of high necessity to develop effective in silico methods to predict and evaluate DDIs accurately and efficiently. In this study, based on a large number of substrates and inhibitors related to five important CYP450 isozymes (CYP1A2, CYP2C9, CYP2C19, CYP2D6 and CYP3A4), a series of high-performance predictive models for metabolic DDIs were constructed by two machine learning methods (random forest and XGBoost) and 4 different types of descriptors (MOE_2D, CATS, ECFP4 and MACCS). To reduce the uncertainty of individual models, the consensus method was applied to yield more reliable predictions. A series of evaluations illustrated that the consensus models were more reliable and robust for the DDI predictions of new drug combination. For the internal validation, the whole prediction accuracy and AUC value of the DDI models were around 0.8 and 0.9, respectively. When it was applied to the external datasets, the model accuracy was 0.793 and 0.795 for multi-level validation and external validation, respectively. Furthermore, we also compared our model with some recently published tools and then applied the final model to predict FDA-approved drugs and proposed 54,013 possible drug pairs with potential DDIs. In summary, we developed a powerful DDI predictive model from the perspective of the CYP450 enzyme family and it will help a lot in the future drug development and clinical pharmacy research. [ABSTRACT FROM AUTHOR]

Background: Children and adolescents are at particular risk for adverse drug reactions (ADRs). We investigated physicians' perceptions on ADRs in pediatric routine care. Methods: In this exploratory study from April to November 2020, we invited physicians treating pediatric patients across Germany to complete an online questionnaire consisting mainly of closed questions. Results: Completion rate was 98% (127/129). Of all participants, 23% (29/127) stated they were not able to estimate how many of their pediatric patients experienced ADRs during drug therapy. The remaining physicians estimated that 7.5% (median; Q25/Q75 3%/20%) of their pediatric patients were affected by ADRs. Regarding counseling on ADRs, 61% (77/127) stated they do not ask regularly the extent to which parents want to be informed. In total, 26% (33/127) stated they avoid counseling on ADRs concerning commonly used approved therapies, whereas only 4% (5/127) did so concerning off-label use (P < 0.001). Altogether, 16% (20/127) stated they rather prescribe new medicines as they hope for better effectiveness; 72% (91/127) said they are cautious about doing so owing to yet unknown ADRs. Of all respondents, 46% (58/127) stated they do not report ADRs to the authorities. Concerning the black triangle symbol, a European pharmacovigilance measure, 11% (14/127) stated they knew it and 6% (7/127) stated they reported any suspected ADR for drugs with that symbol. Conclusions: Physicians' perspectives on ADRs were ambivalent: ADRs influenced their parent counseling and drug prescribing; yet, they struggled to estimate the impact of ADRs on their patients and were not aware of specific pharmacovigilance measures. [ABSTRACT FROM AUTHOR]

Galactorrhea is a well-known adverse drug reaction (ADR) of numerous antipsychotic drugs (APD) and is often distressing for those affected. Methodological problems in the existing literature make it difficult to determine the prevalence of symptomatic hyperprolactinemia in persons treated with APDs. Consequently, a large sample of patients exposed to APDs is needed for more extensive evaluation. Data on APD utilization and reports of galactorrhea caused by APDs were analyzed using data from an observational pharmacovigilance program in German-speaking countries—Arzneimittelsicherheit in der Psychiatrie (AMSP)—from 1993 to 2015. 320,383 patients (175,884 female inpatients) under surveillance were treated with APDs for schizophrenia and other indications. A total of 170 events of galactorrhea caused by APDs were identified (0.97 cases in 1000 female inpatient admissions). Most cases occurred during the reproductive age with the highest incidence among patients between 16 and 30 years (3.81 cases in 1000 inpatients). The APDs that were most frequently imputed alone for inducing galactorrhea were risperidone (52 cases and 0.19% of all exposed inpatients), amisulpride (30 resp. 0.48%), and olanzapine (13 resp. 0.05%). In three cases, quetiapine had a prominent role as a probable cause for galactorrhea. High dosages of the imputed APDs correlated with higher rates of galactorrhea. Galactorrhea is a severe and underestimated condition in psychopharmacology. While some APDs are more likely to cause galactorrhea, we identified a few unusual cases. This highlights the importance of alertness in clinical practice and of taking a patient's individual situation into consideration. [ABSTRACT FROM AUTHOR]

Background: Adverse drug reactions are a problem in healthcare systems worldwide. Children are more susceptible than adults, especially when exposed to specific drug classes, such as antibiotics. Objective: To assess the incidence, causality, severity, and avoidability of antibiotic-associated adverse drug reactions in hospitalized pediatric patients. Setting: Pediatric ward of a high-complexity public hospital in northeast Brazil. Methods: A prospective cohort study was conducted over six months, including children aged between 28 days and 12 years, hospitalized for more than 48 h, and receiving antibiotics. Liverpool's causality and avoidability assessment tools were used. Primary outcome measures: Incidence of adverse drug reactions, causality, severity, and avoidability, major antibiotics implicated, risk factors. Results: A total of 183 patients were followed, and 35 suspected adverse drug reactions were recorded overall incidence equal to 14.7%. Most adverse drug reactions were classified as moderate severity (76.7%), probable (57.1%) and defined (28.6%) causality, and unavoidable (66.7%). The affected organs were the gastrointestinal system (74.1%) and skin (25.9%). Major antibiotics implicated were ceftriaxone (40.7%), azithromycin (25.9%), and crystalline penicillin (11.1%). The number of antibiotics prescribed per patient during hospitalization and the length of stay were the risk factors identified. Conclusion: Causality and severity assessment indicated that most adverse drug reactions were probable and moderate. Possibly avoidable reactions occurred due to inappropriate prescribing when preventive measures were not implemented. Monitoring the use of antibiotics in children is essential to ensure the safety of these patients. [ABSTRACT FROM AUTHOR]

The article focuses on Pitolisant which is new drug with a new mechanism of action, inverse agonist at the H3 histamine receptor, marketed in narcolepsy and excessive daytime sleepiness in obstructive sleep apnea syndrome. Topics include examines the clinical trials found that its main adverse events are neuropsychiatric, including headache, insomnia, anxiety, and depression, but also vomiting and weight gain.