Anatomical Therapeutic Chemical Classification Research Articles

Trends in Drug Duplications in Swedish Older Adults: A Nationwide Register Study from 2006 to 2021.

Drug duplication (DD), the use of two identical drugs simultaneously, is a medication error increasing the risk of adverse drug events. We describe the trends and implicated drugs in potential DD in older adults in Sweden from 2006 to 2021. We conducted a register-based, repeated cross-sectional study of all older adults (aged ≥65years) dispensed drugs at a community pharmacy in 2006-2021. DD was defined as a ≥30-day overlap of two dispensations of drugs with the same 5th level (chemical substance) Anatomical Therapeutic Chemical (ATC) classification, but with different brand names, within a 3-month period each year. Among Swedish older adults with ordinary prescriptions (i.e. multidose excluded; n≈1,200,000-1,600,000 per year), the prevalence of potential DD increased from 5.2% to 10.6% in 65- to 79-year-olds and from 7.0% to 11.7% in those aged ≥80years. The drug groups (ATC level 3; pharmacological subgroup) most frequently implicated in DD in 2006 were β-blocking agents, angiotensin-converting enzyme (ACE) inhibitors, and calcium channel blockers, and in 2021Vitamin B12 and folic acid, β-blocking agents and angiotensin II receptor blockers. DD represents a common but unnecessary and potentially hazardous medication error. Our results indicate that during the last two decades, the prevalence has almost doubled in older adults with ordinary prescriptions, reaching 11% in 2021. More national efforts are needed to revert this trend, including a nationally available complete drug list for all patients, and prescriber support to detect DD.

The usage of anticholinergic medications in a low- and middle-income country: a longitudinal comparison of 2013-15 and 2020-22 datasets.

While the effects of anticholinergic drug use have been increasingly highlighted, trends in anticholinergic use remain poorly understood. To determine the changes in frequency and pattern of anticholinergic drug use within a low- and middle-income country. Comparisons were made between population-based datasets collected from Malaysian residents aged 55years and older in 2013-15 and 2020-22. Anticholinergic exposure was determined using the anticholinergic cognitive burden (ACB) tool. Drugs with ACB were categorised according to the Anatomical Therapeutic Chemical (ATC) classification. A total number of 5707 medications were recorded from the 1616 participants included in the 2013-15 dataset. A total number of6175 medications were recorded from 2733 participants in 2020-22. Two hundred and ninety-three (18.1%) and 280 (10.2%) participants consumed medication with ACB in 2013-15 and 2020-22 respectively. The use of nervous system drugs with ACB had increased (27 (0.47%) versus 39 (0.63%). The use of ACB drugs in the cardiovascular (224 (3.9%) versus 215 (3.4%)) and alimentary tract and metabolism (30 (0.52%) versus 4 (0.06%)) classes had reduced over time. Participants in 2020-22 were significantly less likely than those in 2013-15 to have total ACB = 1 - 2 (odds ratio [95% confidence interval] = 0.473[0.385-0.581]) and ACB 3 (0.251[0.137 - 0.460]) compared to ACB = 0 after adjustment for potential confounders (p < 0.001). Although anticholinergic exposure has decreased over time, the use of medications with anticholinergic effects in the nervous system class has risen. This increase is attributable to antipsychotic use, which is of concern due to potential cardiovascular complications, and deserves further evaluation.

Consumption Trends of Antifungal and Antiprotozoal Agents for Human Systemic Use in Kazakhstan from 2017 to 2023

Background/Objectives: While multiple studies have investigated antibiotic consumption rates, there are few studies on the consumption of systemic antifungals and antiprotozoals. This study aims to fill this gap by providing a comprehensive analysis of nationwide consumption trends in Kazakhstan over a seven-year period (2017–2023). Methods: Defined daily doses per 1000 inhabitants per day were calculated for systemic antifungals (J02 code of the Anatomical Therapeutic Chemical Classification System (ATC)) and antiprotozoals (P01 code of the ATC). Time series analyses were applied to examine historical trends, evaluate the impact of the COVID-19 pandemic, and make future projections until 2030. Results: The total consumption increased over the study period, with an average annual percent change of 1.11% for antifungals and 5.48% for antiprotozoals. Fluconazole was the most consumed antifungal agent, whereas metronidazole was the most consumed antiprotozoal agent. The COVID-19 pandemic had a positive but insignificant effect on the consumption of antifungals and a negative and also insignificant effect on the consumption of antiprotozoals. Forecast modeling indicates that the future trends in antifungal and antiprotozoal consumption until 2030 will largely remain stable, with the exception of antiprotozoal consumption in the hospital sector, which is projected to decline. Conclusions: These findings offer valuable insights into the development and implementation of targeted antimicrobial stewardship programs in Kazakhstan.

Polypharmacy and medication usage patterns in hypertensive patients: Findings from the Pars Cohort Study

Polypharmacy, defined here as the concomitant use of five or more medications, is a significant health issue, particularly affecting individuals with chronic diseases like hypertension (HTN). To compare individuals with and without HTN in term of polypharmacy, and to investigate correlates of polypharmacy and medication use patterns in individuals with HTN in southwest Iran. This cross-sectional study used the baseline data of 9270 participants of the Pars Cohort Study (PCS) with a mean age of 52.6 ± 9.7 years. Poisson multivariable modeling was applied to identify correlates of polypharmacy, and Lexicomp® was used to assess drug-drug interactions. Anatomical Therapeutic Chemical classification was used to describe the pattern of medication use. The prevalence of polypharmacy in individuals without hypertension was 4.7 % (4.2%–5.2 %) vs. 23.7 % (22.1%–25.3 %) in individuals with hypertension (P < 0.001). Individuals with hypertension from middle-high socioeconomic status (SES) had a 1.51-fold higher prevalence of polypharmacy than vs. low SES. Those with more than three comorbidities had a 5.18 times higher prevalence of polypharmacy than those with isolated hypertension. Calcium channel blockers were the most common antihypertensives (20.9 %). In terms of drug-drug interactions, type C interactions were most prevalent among participants with hypertension and polypharmacy (76.0 %). Our findings imply a fairly high prevalence of polypharmacy and drug-drug interactions among individuals with hypertension; to tackle this issue, we recommend a national pharmacovigilance system, training programs for primary care physicians, public education and awareness campaigns, drug-checking campaigns, targeted screenings to alter modifiable risk factors, and the use of safe combination pills.

The medication usage pattern and prevalence of polypharmacy among patients with sickle cell disease: a population-based study in southern Iran

ABSTRACT Background Due to the numerous complications associated with sickle cell disease (SCD), patients often receive a variety of medications alongside their SCD treatment. However, a notable gap exists in the current literature regarding medication use patterns among them. This study aimed to investigate medication usage patterns in patients with SCD. Research design and methods This cross-sectional study, conducted in Bushehr Province, employed a stratified random sampling method to select eligible participants with SCD. A thorough interview gathered various information, including details about the medications. The Anatomical Therapeutic Chemical classification system was utilized for drug classification. Polypharmacy was defined as the concurrent use of at least five medications. Results A total of 300 individuals with SCD were included in this study. Polypharmacy was observed in 26.3% (95% CI: 20.8%-32.8%) of the study population. The analyses revealed positive associations between the use of more concurrent medication use and higher age groups and having multimorbidity. Antianemic preparations (86.7%), antineoplastic agents (58.3%), and vitamins (41.0%) were the most frequent medication classes used by the study participants. Conclusions Our study revealed notable underutilization of hydroxyurea and a high rate of polypharmacy, associated with age and multimorbidity, among patients with SCD in southern Iran.

Deaths with COVID-19 and from all-causes following first-ever SARS-CoV-2 infection in individuals with preexisting mental disorders: A national cohort study from Czechia.

Evidence suggests reduced survival rates following Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection in people with preexisting mental disorders, especially psychotic disorders, before the broad introduction of vaccines. It remains unknown whether this elevated mortality risk persisted at later phases of the pandemic and when accounting for the confounding effect of vaccination uptake and clinically recorded physical comorbidities. We used data from Czech national health registers to identify first-ever serologically confirmed SARS-CoV-2 infections in 5 epochs related to different phases of the pandemic: 1st March 2020 to 30th September 2020, 1st October 2020 to 26th December 2020, 27th December 2020 to 31st March 2021, 1st April 2021 to 31st October 2021, and 1st November 2021 to 29th February 2022. In these people, we ascertained cases of mental disorders using 2 approaches: (1) per the International Classification of Diseases 10th Revision (ICD-10) diagnostic codes for substance use, psychotic, affective, and anxiety disorders; and (2) per ICD-10 diagnostic codes for the above mental disorders coupled with a prescription for anxiolytics/hypnotics/sedatives, antidepressants, antipsychotics, or stimulants per the Anatomical Therapeutic Chemical (ATC) classification codes. We matched individuals with preexisting mental disorders with counterparts who had no recorded mental disorders on age, sex, month and year of infection, vaccination status, and the Charlson Comorbidity Index (CCI). We assessed deaths with Coronavirus Disease 2019 (COVID-19) and from all-causes in the time period of 28 and 60 days following the infection using stratified Cox proportional hazards models, adjusting for matching variables and additional confounders. The number of individuals in matched-cohorts ranged from 1,328 in epoch 1 to 854,079 in epoch 5. The proportion of females ranged from 34.98% in people diagnosed with substance use disorders in epoch 3 to 71.16% in individuals diagnosed and treated with anxiety disorders in epoch 5. The mean age ranged from 40.97 years (standard deviation [SD] = 15.69 years) in individuals diagnosed with substance use disorders in epoch 5 to 56.04 years (SD = 18.37 years) in people diagnosed with psychotic disorders in epoch 2. People diagnosed with or diagnosed and treated for psychotic disorders had a consistently elevated risk of dying with COVID-19 in epochs 2, 3, 4, and 5, with adjusted hazard ratios (aHRs) ranging from 1.46 [95% confidence intervals (CIs), 1.18, 1.79] to 1.93 [95% CIs, 1.12, 3.32]. This patient group demonstrated also a consistently elevated risk of all-cause mortality in epochs 2, 3, 4, and 5 (aHR from 1.43 [95% CIs, 1.23, 1.66] to 1.99 [95% CIs, 1.25, 3.16]). The models could not be reliably fit for psychotic disorders in epoch 1. People diagnosed with substance use disorders had an increased risk of all-cause mortality 28 days postinfection in epoch 3, 4, and 5 (aHR from 1.30 [95% CIs, 1.14, 1.47] to 1.59 [95% CIs, 1.19, 2.12]) and 60 days postinfection in epoch 2, 3, 4, and 5 (aHR from 1.22 [95% CIs, 1.08, 1.38] to 1.52 [95% CIs, 1.16, 1.98]). Cases ascertained based on diagnosis of substance use disorders and treatment had increased risk of all-cause mortality in epoch 2, 3, 4, and 5 (aHR from 1.22 [95% CIs, 1.03, 1.43] to 1.91 [95% CIs, 1.25, 2.91]). The models could not be reliably fit for substance use disorders in epoch 1. In contrast to these, people diagnosed with anxiety disorders had a decreased risk of death with COVID-19 in epoch 2, 3, and 5 (aHR from 0.78 [95% CIs, 0.69, 0.88] to 0.89 [95% CIs, 0.81, 0.98]) and all-cause mortality in epoch 2, 3, 4, and 5 (aHR from 0.83 [95% CIs, 0.77, 0.90] to 0.88 [95% CIs, 0.83, 0.93]). People diagnosed and treated for affective disorders had a decreased risk of both death with COVID-19 and from all-causes in epoch 3 (aHR from 0.87 [95% CIs, 0.79, 0.96] to 0.90 [95% CIs, 0.83, 0.99]), but demonstrated broadly null effects in other epochs. Given the unavailability of data on a number of potentially influential confounders, particularly body mass index, tobacco smoking status, and socioeconomic status, part of the detected associations might be due to residual confounding. People with preexisting psychotic, and, less robustly, substance use disorders demonstrated a persistently elevated risk of death following SARS-CoV-2 infection throughout the pandemic. While it cannot be ruled out that part of the detected associations is due to residual confounding, this excess mortality cannot be fully explained by lower vaccination uptake and more clinically recorded physical comorbidities in these patient groups.

Is Antimicrobial Stewardship Policy Effectively Implemented in Polish Hospitals? Results from Antibiotic Consumption Surveillance before and during the COVID-19 Pandemic.

The COVID-19 pandemic posed numerous challenges to public health systems, particularly in antimicrobial stewardship. This study aimed to assess antibiotic consumption before and during the COVID-19 pandemic to evaluate the effectiveness of the implemented antimicrobial stewardship program. This retrospective study was carried out at the University Hospital in Krakow, Poland, between 1 January 2019 and 31 December 2020. A total of 80,639 patients were enrolled. Antibiotic usage was measured as the percentage of patients receiving antibiotics and the number of days of therapy (DOTs). The World Health Organization (WHO) methodology and Anatomical Therapeutic Chemical (ATC) codes and AWaRe classification were utilized. The analyzed ATC antibiotic groups included penicillins (J01CA, J01CE, J01CF, J01CR, excluding piperacillin/tazobactam), piperacillin with tazobactam-beta-lactamase inhibitor (J01CR05), third- and fourth-generation cephalosporins (J01DD, J01DE), carbapenems (J01DH), macrolides (J01FA), fluoroquinolones (J01M), colistin (J01XB01), metronidazole (J01XD01) and others (J01DF, J01DI, J01E, J01G, J01XA, J01A). In the AWaRe classification, Access, Watch and Reserve groups of antibiotics were included. In 2020, 79.2% of COVID-19 patients and 40.1% of non-COVID-19 patients were treated with antibiotics, compared to 28.8% in 2019. Also, in 2020, the antibiotic consumption in non-ICU COVID-19 patients was twice as high as in non-COVID-19 patients: 50.9 vs. 38.5 DOTs/100 patient days (pds). Conversely, in the ICU, antibiotic consumption in COVID-19 patients was 112.1 DOTs/100 pds compared to 248.9 DOTs/100 pds in non-COVID-19 patients. Significant increases were observed in the usage of third- and fourth-generation cephalosporins in 2020. The analysis according to the AWaRe system revealed the highest usage of the Watch group-ranging from 61.9% to 78.7%-and very high usage of the Reserve group-from 5.8% to 11.1%-in non COVID-19 and COVID-19 patients, respectively. Our findings highlight substantial issues with antibiotic use both before and during the COVID-19 pandemic. The results underscore the urgent need for improved antimicrobial stewardship policy implementation.

Impact of the COVID-19 Pandemic on Pharmacist Interventions: A Retrospective Study with Inpatients in a University Hospital.

Despite growing interest in understanding the challenges faced by multidisciplinary health teams during the COVID-19 pandemic, there is a lack of studies specifically focusing on changes in pharmacist interventions and drug-related problems. To analyze and compare the interventions performed by pharmacists during comprehensive medication management in the adult intensive care unit and general internal medicine ward of the University Hospital of the University of São Paulo, Brazil, for defined periods before the onset of the COVID-19 pandemic and during the pandemic itself. All pharmacist interventions performed in relation to inpatient prescriptions from March to December 2019 (before the pandemic) and from March to December 2021 (during the pandemic) were collected and tabulated. These interventions were then classified according to the Pharmaceutical Care Network Europe (PCNE) system, version 9.1, and categorized based on first-level codes of the Anatomical Therapeutic Chemical classification system. The analysis revealed substantial changes in the patterns of pharmacist interventions and the therapeutic classes of drugs for COVID-19-positive and COVID-19-negative patients during the pandemic relative to patients in the pre-pandemic period. Among COVID-19-positive patients, interventions were predominantly related to enhancing patient safety (PCNE code P2), drug selection (C1), dose selection (C3), prescribing and dispensing processes (C5), the drug-use process (C6), and patient transfers between different levels of care (C8). The drug-related problems addressed by pharmacist interventions primarily involved COVID-19-positive patients in the pandemic period and were related to systemic hormonal preparations (excluding sex hormones and insulins), anti-infective agents for systemic use, nervous system and drugs for the blood and blood-forming organs. The results of this study highlight the adaptability and competence of pharmacists in responding to critical scenarios such as the COVID-19 pandemic. These scenarios are characterized by new work dynamics, the hiring of additional professionals, an increase in the number of beds, the rapid evolution of evidence-based information, and drug shortages that necessitate the use of alternative medications. Pharmacists play a crucial role in ensuring patient safety during these difficult times.

Use of Azithromycin Attributable to Acute SARS-CoV-2 Infection.

In the early stages of the COVID-19 pandemic, preliminary results that later proved to be incorrect suggested the possible efficacy of anti-infective drugs such as azithromycin for the treatment of SARS-CoV-2 infection. These preliminary data may have influenced the prescription of azithromycin. However, no individual-level data linking the use of this antibiotic to acute SARS-CoV-2 infection are available. The present analysis aims to fill this gap. A retrospective population-based cohort design was used including patients diagnosed with SARS-CoV-2 infection in the period ranging from February 2020 to February 2022. The data source for antibiotic consumption was the drug database of outpatient prescriptions of Emilia-Romagna Region (Italy). Antibiotics were classified according to the Anatomical Therapeutic Chemical (ATC) classification system. Consumption rates and percentages of azithromycin DDDs (defined daily doses) during the acute phase of the infection were compared with a previous control period and with the post-acute phase. Analyses were stratified by four groups according to the prevalent virus variant at time of diagnosis. Comparing the previous control period with the acute phase of infections, the rates of azithromycin consumption (DDD per 1000 individuals per day) increased from 1.17 to 23.11, from 0.80 to 33.03, from 0.81 to 21.01, and from 1.02 to 9.76, in the pre-Alpha, Alpha, Delta, and Omicron periods, respectively. Similarly, the percentages of individuals receiving azithromycin, and the azithromycin DDDs percentages over total systemic antibiotics DDDs increased in acute phases of infection compared with control periods. The consumption rates and percentages returned to preinfection levels in the post-acute phase. In the study period, 12.9% of the use of azithromycin in the entire adult population of Emilia-Romagna was attributable to acute SARS-CoV-2 infection. Considering the low likelihood of bacterial coinfections, the increased azithromycin consumption in the acute phase of SARS-CoV-2 infection suggests inappropriate prescribing of this antibiotic.

Drug-induced Liver Injury in Latin America: 10-year Experience of the Latin American DILI (LATINDILI) Network

Background and aimsLatin America is a region of great interest for studying the clinical presentation of idiosyncratic drug-induced liver injury (DILI). A comprehensive analysis of patients enrolled into the LATINDILI Network over a decade is presented. MethodsDemographics, clinical presentation, histological findings and outcome of prospectively recruited DILI cases in the LATINDILI Network were analyzed. Suspected culprit drugs were classified according to the Anatomical Therapeutic Chemical classification. Causality was assessed using the Roussel Uclaf Causality Assessment Method (RUCAM) scale. ResultsOverall, 468 idiosyncratic DILI cases were analyzed (62% women, mean age 49 years). Hepatocellular injury predominated (62%), jaundice was present in 60% of patients and 42% were hospitalized. 4.1% of the cases had a fatal outcome, and 24 (12%) patients developed chronic DILI. The most common drug classes were systemic anti-infectives (31%), musculoskeletal agents (12%), antineoplastic and immunomodulating agents (11%), and herbal and dietary supplements (HDS, 9%). Notably, none of the patients with DILI due to antibacterials or immunosuppressants had a fatal outcome. In fact, Hy's law showed to have drug-specific predictive value, with anti-tuberculosis drugs, nimesulide and HDS associated with the worst outcome, whereas DILI caused by amoxicillin-clavulanate, nitrofurantoin and diclofenac that fulfilled Hy's law did not have a fatal outcome. ConclusionFeatures of DILI in Latin America are comparable to other prospective registries. However, the pattern of drugs responsible for DILI differs. An increasing incidence of HDS, with high mortality rate, and likewise nimesulide and nitrofurantoin was noted. Thus, public health policies should raise awareness of the potential adverse effects of these compounds.

Unused, leftover and expired medicine and disposal practices among health sciences faculty students in Burdur, Turkey.

To evaluate the opinions of university-level Health Sciences students about unused, leftover and expired medicine, as well as their disposal practices, and to classify the medicines. The cross-sectional study was conducted from April 1 to May 31, 2023, at the Faculty of Health Sciences, Burdur Mehmet Akif Ersoy University, Turkey, and comprised those studying at the Nursing, Nutrition Dietetics and Physical Therapy and Rehabilitation departments. Data was collected using Google Forms. The Anatomical Therapeutic Chemical classification was used for classifying pharmaceutical active ingredients. Data was analysed using SPSS 24. Of the 373 participants, 272(73%) were females and 101(27%) were males. The overall mean age was 20.8±2.8 years. There were 348(93.3%) subejcts who reported having a total of 845 boxes of leftover and unused medicines in their homes (2.3±1.9 per capita), while 25(6.7%) participants had none. The medicines were stored in the kitchen 261(61.5%) as the storage area, and in the refrigerator 181(40.2%) as the storage unit. The expired medicine was disposed of in the garbage in 328(86.1%) cases. Self-medication was prevalent in 325(87.1%) cases. Anatomical Therapeutic Chemical classification analysis showed that paracetamol, acetylsalicylic acid, paracetamol+caffeine and metamizole sodium was the most common group of leftover and unused medicines 283(81.3%). High prevalence of unused and leftover medicine, disposal of medicine in household garbage, and selfmedication behaviour indicated a serious public health and environmental problem.

Monitoring Adverse Drug Events in Web Forums: Evaluation of a Pipeline and Use Case Study.

To mitigate safety concerns, regulatory agencies must make informed decisions regarding drug usage and adverse drug events (ADEs). The primary pharmacovigilance data stem from spontaneous reports by health care professionals. However, underreporting poses a notable challenge within the current system. Explorations into alternative sources, including electronic patient records and social media, have been undertaken. Nevertheless, social media's potential remains largely untapped in real-world scenarios. The challenge faced by regulatory agencies in using social media is primarily attributed to the absence of suitable tools to support decision makers. An effective tool should enable access to information via a graphical user interface, presenting data in a user-friendly manner rather than in their raw form. This interface should offer various visualization options, empowering users to choose representations that best convey the data and facilitate informed decision-making. Thus, this study aims to assess the potential of integrating social media into pharmacovigilance and enhancing decision-making with this novel data source. To achieve this, our objective was to develop and assess a pipeline that processes data from the extraction of web forum posts to the generation of indicators and alerts within a visual and interactive environment. The goal was to create a user-friendly tool that enables regulatory authorities to make better-informed decisions effectively. To enhance pharmacovigilance efforts, we have devised a pipeline comprising 4 distinct modules, each independently editable, aimed at efficiently analyzing health-related French web forums. These modules were (1) web forums' posts extraction, (2) web forums' posts annotation, (3) statistics and signal detection algorithm, and (4) a graphical user interface (GUI). We showcase the efficacy of the GUI through an illustrative case study involving the introduction of the new formula of Levothyrox in France. This event led to a surge in reports to the French regulatory authority. Between January 1, 2017, and February 28, 2021, a total of 2,081,296 posts were extracted from 23 French web forums. These posts contained 437,192 normalized drug-ADE couples, annotated with the Anatomical Therapeutic Chemical (ATC) Classification and Medical Dictionary for Regulatory Activities (MedDRA). The analysis of the Levothyrox new formula revealed a notable pattern. In August 2017, there was a sharp increase in posts related to this medication on social media platforms, which coincided with a substantial uptick in reports submitted by patients to the national regulatory authority during the same period. We demonstrated that conducting quantitative analysis using the GUI is straightforward and requires no coding. The results aligned with prior research and also offered potential insights into drug-related matters. Our hypothesis received partial confirmation because the final users were not involved in the evaluation process. Further studies, concentrating on ergonomics and the impact on professionals within regulatory agencies, are imperative for future research endeavors. We emphasized the versatility of our approach and the seamless interoperability between different modules over the performance of individual modules. Specifically, the annotation module was integrated early in the development process and could undergo substantial enhancement by leveraging contemporary techniques rooted in the Transformers architecture. Our pipeline holds potential applications in health surveillance by regulatory agencies or pharmaceutical companies, aiding in the identification of safety concerns. Moreover, it could be used by research teams for retrospective analysis of events.

Validity assessment of self-reported medication use in a pharmacoepidemiologic study by comparison with prescription record review

Objectives Although self-reported questionnaires are widely used to collect information on medication use in epidemiological studies, their validity for studies involving older adults has not been sufficiently assessed. This study evaluated the validity of self-reported medication use using questionnaires in comparison with drug notebooks.Methods The study enrolled 370 older community dwellers who participated in an aging sub-study survey of the Tsuruoka Metabolomics Cohort Study between April 2019 and March 2021. Medication use was assessed by comparing self-reported questionnaire data with drug notebook records. We analyzed medications used for hypertension, dyslipidemia, myocardial infarction, angina, diabetes, rheumatism, osteoporosis/metabolic bone disease, constipation, anxiety/depression, dementia, asthma, allergy, thrombosis, and thyroid disease. Moreover, gastrointestinal (GI) medications, steroids, and antipyretic analgesics were assessed, and data on injectable medications for osteoporosis/metabolic bone disease was collected. Using drug notebook records, we identified regular medication users by assessing whether they had received oral medication prescriptions covering over 28 days and took the medication within the 90 days preceding the day of their survey. To define medication categories, we used Anatomical Therapeutic Chemical (ATC) classification codes. Sensitivity, specificity, and kappa statistics were calculated for each medication using drug notebooks as standards. Those who did not bring their drug notebooks on the day of the survey were defined as non-medication users.Results The mean age (standard deviation) of the 370 participants (146 men and 224 women) was 73.3 (4.0) years. The sensitivity and specificity for each medication were as follows: hypertension (0.97, 0.97), dyslipidemia (0.93, 0.98), myocardial infarction (0.24, 0.99), diabetes (0.94, 1.00), rheumatism (1.00, 1.00), osteoporosis/metabolic bone disease (0.82, 0.99), constipation (0.71, 0.98), GI conditions (0.63, 0.97), anxiety/depression (0.36, 1.00), dementia (0.67, 1.00), asthma (0.67, 0.98), allergy (0.57, 0.99), thrombosis (0.88, 0.98), steroids (0.80, 0.99), thyroid disease (1.00, 1.00) and antipyretic analgesics (0.75, 0.96).Conclusions Although sensitivity and specificity differed by medication categories, the results of our population-based cohort study suggested that self-reported questionnaires on medication use among older adults are valid, especially for medications with high sensitivity (≥ 0.8).

The Clinical Impact of Hospital-Acquired Adverse Drug Reactions in Older Adults: An Australian Cohort Study

IntroductionHospital-acquired adverse drug reactions (HA-ADRs) are common in older adults. However, there is limited knowledge regarding the association between HA-ADRs and adverse clinical outcomes. ObjectiveTo investigate the incidence and characteristics of HA-ADRs in older adults, and any association with mortality, length of stay, and readmissions. DesignProspective cohort study. Setting and ParticipantsFlinders Medical Centre, a large tertiary referral hospital in Adelaide, South Australia. Older adults admitted under the General Medicine and Acute Care of the Elderly units with no previous diagnosis of dementia. MethodsAll patients had a Multidimensional Prognostic Index (MPI) assessment performed within 3 days of the admission. Data collected included age, gender, estimated glomerular filtration rate (eGFR), length of stay, readmissions, and mortality. HA-ADRs were identified by review of individual discharge summaries. Univariate and multivariate analyses were performed to investigate associations with clinical outcomes including mortality, length of stay, and readmissions. Exploratory analyses were performed for HA-ADR groups based on Medical Dictionary for Regulatory Activities System Organ Class and World Health Organization Anatomical Therapeutic Chemical classifications that accounted for ≥10% of all HA-ADRs. ResultsThere were 737 patients in the cohort with 72 having experienced a HA-ADRs (incidence = 9.8%). Patients with an HA-ADR had increased length of stay and 30-day readmissions compared with those without an HA-ADR. In multivariate analysis, the number of HA-ADRs was associated with in-hospital mortality and length of stay but not post-discharge mortality or readmissions within 30 days. In exploratory analyses, patients with an HA-ADR to antibacterial drugs had significantly higher rates of in-hospital mortality compared with those without these reactions. Conclusions and ImplicationsThe number of HA-ADRs are associated with in-hospital mortality and length of stay in older Australian inpatients. The occurrence of HA-ADRs may be a trigger to offer advice to prescribers to prevent future ADRs to similar agents and proactively manage disease to improve health outcomes.

Antibiotic exposure and colon carcinogenesis: In-depth profiling of a 492-patient cohort, with a focus on antibiotic classifications and subtypes.

e15643 Background: To investigate whether the use of specific antibiotics is associated with an increased risk of colon cancer incidence. Methods: We conducted a retrospective cohort study comprising 492 patients diagnosed with colon cancer between 2012 and 2022, with no prior malignancies and a minimum 5-year follow-up period. We collected demographic data, medical histories, and records of antibiotic exposure, categorizing antibiotics systematically based on the Anatomical Therapeutic Chemical (ATC) classification system. Patient antibiotic histories, including drug names, dosages, durations, and therapeutic indications, were included. Antibiotics were classified as broad-spectrum, narrow-spectrum, or extended-course. We performed univariate and multivariate logistic regression models and used propensity score matching to control for potential confounding variables, such as age, gender, co-morbidities, and concurrent medications. Subgroup analyses were conducted to identify specific antibiotic classes associated with an increased risk of colon cancer. Results: The mean age of the cohort was 65.7 years (SD ± 8.3), with an equal gender distribution. Adenocarcinoma was the predominant histological subtype (429 cases, 87%), with rare subtypes accounting for the remaining cases. Common co-morbidities included hypertension (226 cases, 46%), diabetes mellitus (108 cases, 22%), and hyperlipidemia (88 cases, 18%). The most frequently prescribed antibiotics were fluoroquinolones (158 cases, 32%), followed by cephalosporins (108 cases, 22%), and macrolides (88 cases, 18%). Extended-course antibiotics were administered in 138 cases (28%). Preliminary analysis revealed a statistically significant correlation between the use of extended-course antibiotics and the risk of colon cancer (Odds Ratio = 1.89, 95% Confidence Interval: 1.32-2.71, p &lt; 0.05). No substantial association was observed with broad-spectrum or narrow-spectrum antibiotics. Subgroup analysis identified specific agents within the extended-course antibiotics, such as fluoroquinolones and clindamycin, with an elevated risk profile. Conclusions: This study suggests a potential association between the use of extended-course antibiotics and the development of colon cancer. Further validation through larger-scale, prospective studies is strongly recommended to confirm these findings. Further in-depth mechanistic inquiries, particularly in cellular signaling pathways and microbial interactions within the gut microbiome, are warranted to elucidate the underlying biological mechanisms driving this association.

Assessment of the utilization of real-time prescription benefits for patient cost savings within an outpatient setting

BackgroundThis study evaluates the impact of Real-Time Prescription Benefits (RTPB), a tool integrated into electronic health records (EHRs), on patient out-of-pocket costs in an academic institution. RTPB provides prescribers with alternative, less expensive medications based on insurance plans. The primary measure was cost-savings, defined as the difference between the out-of-pocket cost of the prescribed medication and its alternative. MethodsA retrospective analysis of prescriptions from outpatient clinics in a university-based health system was conducted between May 2020 and July 2021. Prescriptions were analyzed at the 2nd level of the Anatomical Therapeutic Chemical (ATC) classification system. Costs were standardized to a 30-day supply. Standardized cost and total cost per prescription, and overall savings for the top 20 medication classes at the 2nd ATC level were calculated. The overall impact of RTPB was estimated based on selecting the least expensive alternative suggested by RTPB. ResultsThe study found that RTPB information was provided for 22% of prescriptions, with suggested alternatives for 1.26%. Among prescriptions with an alternative selected, the standardized average cost saving was $38.83. The study realized $15,416 in patient total cost savings. If the least expensive RTPB-suggested alternative were chosen for all prescriptions, an estimated $276,386 could have been saved. Psychoanaleptic and psycholeptic medications were the most prescribed with an alternative, with most savings in specialty drugs like anthelmintic and immunostimulant medications. ConclusionThe study highlights the importance of RTPB in reducing patient costs. It reports patient cost-savings with RTPB in prescribing decisions. Future research could explore the impact of RTPB on medication adherence using pharmacy claims data.

How is postoperative pain after hip and knee replacement managed? An analysis of two large hospitals in Australia

BackgroundMultimodal analgesia regimens are recommended for the postoperative period after hip and knee replacement surgeries. However, there are no data on practice patterns for analgesic use in the immediate postoperative period after hip and knee replacements in Australia.ObjectivesTo describe analgesic prescribing patterns in the inpatient postoperative phase for patients undergoing hip and knee replacement.MethodsRetrospective study of electronic medical record data from two major hospitals in Sydney, Australia. We identified analgesic medication prescriptions for all patients aged 18 years and older who underwent hip or knee replacement surgery in 2019. We extracted data on pain medications prescribed while in the ward up until discharge. These were grouped into distinct categories based on the Anatomical Therapeutic Chemical classification. We described the frequency (%) of pain medications used by category and computed the average oral morphine equivalent daily dose (OMEDD) during hospitalisation.ResultsWe identified 1282 surgeries in 1225 patients. Patients had a mean (SD) age of 69 (11.8) years; most (57.1%) were female. Over 99% of patients were prescribed opioid analgesics and paracetamol during their hospital stay. Most patients (61.4%) were managed with paracetamol and opioids only. The most common prescribed opioid was oxycodone (87.3% of patients). Only 19% of patients were prescribed nonsteroidal anti-inflammatories (NSAIDs). The median (IQR) average daily OMEDD was 50.2 mg (30.3–77.9).ConclusionWe identified high use of opioids analgesics as the main strategies for pain control after hip and knee replacement in hospital. Other analgesics were much less frequently used, such as NSAIDs, and always in combination with opioids and paracetamol.

Assessment of disease pattern and drug utilization among neurology intensive care unit patients in a developing country: an observational analysis

ABSTRACT Objective This study aimed to assess the disease pattern and drug utilization among admitted patients in a tertiary-care hospital’s neurology intensive care unit (neuro ICU). Methods A prospective observational cohort study was conducted between August 2022 and January 2023. Patients of any age and gender admitted to the neuro ICU were included, but those who declined to participate were excluded. Demographics, clinical, and medication details were consistently gathered and maintained until discharge. The World Health Organization (WHO)/International Network of Rational Use of Drugs (INRUD) prescribing indicators and the Anatomical Therapeutic Chemical (ATC) classification/Defined Daily Dose (DDD) system were used to evaluate drug use. Results A total of 516 patients were included, predominantly male (65.1%), with an average age of 54.62 ± 15.02 years. The most common diagnosis was stroke [72.3%, comprised of hemorrhagic (46.7%) and ischemic (25.6%)], followed by seizure disorders (6.6%), and central nervous system infections (5.4%). Patients received an average of 7.8 medications, 32.3% prescribed by generic name, 16.0% antibiotics, 74.1% injections, and 100% essential drugs. A (28.5%), C (19.2%), N (17.3%), J (19.2%), B (13.5%), and R (2.3%) were commonly prescribed ATC classes of medications. Number of DDDs was maximum for pantoprazole and furosemide. Based on discharged status, 41.0% were discharged on request, 24.8% against medical advice, 23.8% routine, and 10.2% mortality during hospitalization. Conclusion Our study reveals a high prevalence of hemorrhagic stroke, especially among men, diverging from global ischemic stroke trends. Irregular hypertension treatment is the primary cause, exacerbated by low healthcare knowledge in rural areas, where patients often discharge on request, probably due to poor socio-economic conditions. Urgent public awareness campaigns and further research are needed to address this elevated hemorrhagic stroke incidence.

Repurposing of drugs against bacterial infections: A pharmacovigilance-based data mining approach.

The World Health Organization (WHO) has published a list of priority pathogens that urgently require research to develop new antibiotics. The main aim of the current study is to identify potential marketed drugs that can be repurposed against bacterial infections. A pharmacovigilance-based drug repurposing approach was used to identify potential drugs. OpenVigil 2.1 tool was used to query the FDA Adverse Event Reporting System database. The reporting odds ratio (ROR) < 1, ROR95CI upper bound <1, and no. of cases ≥30 were used for filtering and sorting of drugs. Sunburst plot was used to represent drugs in a hierarchical order using the Anatomical Therapeutic Chemical classification. Molecular docking and dynamics were performed using the Maestro and Desmond modules of Schrodinger 2023 software respectively. A total of 40 drugs with different classes were identified based on the pharmacovigilance approach which has antibacterial potential. The molecular docking results have shown energetically favored binding conformation of lisinopril against 3-deoxy-manno-octulosonate cytidylyltransferase, UDP-2,3-diacylglucosamine hydrolase, and penicillin-binding protein 3 (PBP3) of Pseudomonas aeruginosa; olmesartan, atorvastatin against lipoteichoic acids flippase LtaA and rosiglitazone and varenicline against d-alanine ligase of Staphylococcus aureus; valsartan against peptidoglycan deacetylase (SpPgdA) and atorvastatin against CDP-activated ribitol for teichoic acid precursors of Streptococcus pneumoniae. Further, molecular dynamic results have shown the stability of identified drugs in the active site of bacterial targets except lisinopril with PBP3. Lisinopril, olmesartan, atorvastatin, rosiglitazone, varenicline, and valsartan have been identified as potential drugs for repurposing against bacterial infection.

#1018 Profiles of medication use in dialysis patients globally

Abstract Background and Aims Global patterns of medication use in dialysis have not been defined so far. This project aims to provide a real-world view of medication use in dialysis and to characterize therapeutic classes and types of medications. An anonymized dialysis dataset of a global kidney care network called Apollo Dial DB was used. The most common prescribed medications administered at home by the patients were assessed. Method This is a multi-center, retrospective study using real-life data from adult dialysis patients captured in the first version of the Apollo Dial DB dataset. This dataset contains anonymized dialysis data (longitudinal observation level data) on more than 540,000 unique dialysis patients in 40 countries from Jan 2018-Mar 2021. Home medications were analyzed based on Anatomical Therapeutic Chemical (ATC) codes. Top (most common) 5 ATC codes for home medication are presented, once as 4-digit ATC code classes (e.g., A12A for Calcium) and once as full/exact ATC code (e.g., A12AA04 as 7-digit code for Calcium carbonate). Results In Apollo Dial DB 497,723 patients had 10,538,324 documented home medication entries (on average 21 medication prescriptions per patient outside the dialysis clinic), thereof 114,978 patients had 1,607,168 ATC code entries. Each ATC code entry represents a documented prescription of individual length. All percentages shown below are related to 1,607,168 ATC code entries (not to patients). The top 4-digit ATC code classes of home medication were Calcium (8.60%), Vitamin A and D, including combinations (7.33%), All other Therapeutic Products (6.84%), Antithrombotic Agents (5.89%) and Selective Calcium Channel Blockers with mainly vascular Effects (5.39%) (Fig. 1). Out of the ATC class Calcium, Calcium carbonate (4.89%) and Calcium acetate (3.22%) are listed as number 1 and 3 of the top 5 ‘full’ ATC codes. Alfacalcidol (3.36%) of ‘Vitamin A and D, including combinations’ is also number 2 of the ‘full’ ATC code list. Amlodipine (3.07%), number 4 of the full ATC code list, represents the majority of ‘Selective Calcium Channel Blockers with mainly vascular Effects’. Sevelamer of ‘All other Therapeutic Products’ is listed as number 5 in the ATC code list with 2.91% (Fig. 2). Conclusion The top 5 home ATC classes of medications account for 34% of all home prescriptions in dialysis patients. They largely represent phosphate binders, vitamin A &amp; D, antithrombotics, and antihypertensives/antiarrhythmic medications. Although, outside the dialysis clinic each patient has on average 21 medication prescriptions, a lot of these prescriptions represent the major medication classes. It is worthwhile to mention the presented data are related to prescriptions and not to duration of use, e.g., both a medication prescribed for 6 months and a prescription for 1 week are documented only once, even if time on drug varies. Further research is needed to explore global patterns, including further ATC code groups particularly on a patient level, accounting for duration of use and medication formulations, real-world application of various drugs (e.g., GLP1 drugs, HIF PH inhibitor) and accounting for US data with NDC codes.