The association of weight loss from anti-obesity medications or bariatric surgery and apnea-hypopnea index in obstructive sleep apnea.

INTRODUCTION: Weight loss is recommended for individuals with obstructive sleep apnea (OSA) and overweight or obesity, but there is limited evidence to guide the selection of weight management strategies for patients who do not lose sufficient weight with diet and lifestyle changes. We evaluated the relationship between weight loss caused by pharmacologic or surgical interventions and subsequent improvement in OSA by the apnea-hypopnea index (AHI). METHODS: PubMed, Cochrane CENTRAL, and EMBASE were searched for randomized trials comparing pharmacologic or surgical obesity interventions to usual care, placebo, or no treatment in adults with OSA. The association between percentage weight loss and AHI change between randomization and last follow-up was evaluated using meta-regression. PROSPERO: CRD42022378853. RESULTS: Ten eligible trials (n = 854 patients) were included. Four (n = 211) assessed bariatric surgery, and 6 (n = 643) assessed pharmacologic interventions over a median follow-up of 13 months (interquartile range 6-26 months). The linear best estimate of the change in AHI is 0.45 events per hour (95% Confidence Interval 0.18 to 0.73 events per hour) for every 1% body weight lost. CONCLUSIONS: Weight loss caused by medication or surgery caused a proportionate improvement of the AHI. Providers could consider extrapolating from this relationship when advising patients of the expected effects of other pharmacologic or surgical interventions without direct evidence in OSA.

Exploring Safety in Gender-Affirming Hormonal Treatments: An Observational Study on Adverse Drug Events Using the Food and Drug Administration Adverse Event Reporting System Database.

BACKGROUND: People with gender dysphoria are treated with hormone therapy for gender reassignment. The indication of this therapy was initially for the opposite sex, and information on potential adverse drug reaction (ADR) is lacking. OBJECTIVE: To describe ADR associated with gender transition medication in transgender individuals reported to the US Food and Drug Administration Adverse Event Reporting System (FAERS) database. METHODS: Data from the FAERS database up to June 2023 were examined, focusing on reports of gender transition medication use in the context of gender dysphoria. The ADRs were categorized using the Medical Dictionary for Regulatory Activities at both Preferred Term and System Organ Class (SOC) levels. Descriptive statistics summarized report counts, medication types, indications, and ADR severity. RESULTS: For individuals assigned female at birth undergoing gender transition to male (transgender men), 82 reports (230 ADRs) were analyzed, with an average age of 29.5 years. Transgender hormonal therapy was cited in 72% of reports, predominantly from the United States (67.1%). A striking 88% were categorized as serious ADRs, primarily SOC injury, poisoning, and procedural complications (26.5%), followed by psychiatric disorders (14.8%) and nervous system disorders (12.2%). Among those assigned sex male at birth transitioning to female (transgender women) (81 reports, 237 ADRs), mean age was 33.3 years, with 58% indicating use for gender dysphoria. A significant proportion (53.6%) were serious ADRs, primarily SOC: injury, poisoning, and procedural complications (26.6%). CONCLUSIONS AND RELEVANCE: The FAERS data reveal significant ADRs in transgender individuals using hormone therapy, sometimes unintended for their recipient gender. Population-level studies are crucial to enhance transgender health care. Spontaneous surveillance databases like FAERS illuminate off-label ADRs, urging health care providers to approach hormone therapies with informed caution.

Drug Exposure During Pregnancy: A Case-Control Study from a Primary Care Database.

Objective: Drug exposure during pregnancy is frequent, even more during first trimester as pregnant women might not be aware of their condition. We used available electronic health records (EHRs) to describe the use of medications during the first trimester in pregnant women and to compare drug exposure between those women who had an abortion (either elective or spontaneous) compared to those who had live births. Materials and Methods: Case-control study of abortions, either elective or spontaneous (cases), and live birth pregnancies (controls) in Sistema d'Informació per al Desenvolupament de la Investigació en Atenció Primària (Catalan Primary Health electronic health records) from 2012 to 2020. Exposure to drugs during first trimester of pregnancy was considered to estimate the association with abortion by conditional logistic regression and adjusted by health conditions and other drugs exposure. Results: Sixty thousand three hundred fifty episodes of abortions were matched to 118,085 live birth pregnancy episodes. Cases had higher rates of alcohol intake (9.9% vs. 7.2%, p < 0.001), smoking (4.5% vs. 3.6%, p < 0.001), and previous abortions (9.9% vs. 7.8%, p < 0.001). Anxiety (30.3% and 25.1%, p < 0.001), respiratory diseases (10.6% and 9.2%, p < 0.001), and migraine (8.2% and 7.3%, p < 0.001), for cases and controls, respectively, were the most frequent baseline conditions. Cases had lower rate of drug exposure, 40,148 (66.5%) versus 80,449 (68.1%), p < 0.001. Association with abortion was found for systemic antihistamines (adjusted odds ratio [ORadj] 1.23, 95% confidence interval [CI] 1.19-1.27), antidepressants (ORadj 1.11, 95% CI 1.06-1.17), anxiolytics (ORadj 1.31, 95% CI 1.26-1.73), and nonsteroidal anti-inflammatory drugs (ORadj 1. 63, 95% CI 1.59-1.67). Conclusions: These high rates of drug exposures during the first trimester of pregnancy highlights the relevance of informed prescription to women with childbearing potential.

Barriers to Adoption of Tailored Drug-Drug Interaction Clinical Decision Support.

OBJECTIVE: Despite the benefits of the tailored drug-drug interaction (DDI) alerts and the broad dissemination strategy, the uptake of our tailored DDI alert algorithms that are enhanced with patient-specific and context-specific factors has been limited. The goal of the study was to examine barriers and health care system dynamics related to implementing tailored DDI alerts and identify the factors that would drive optimization and improvement of DDI alerts. METHODS: We employed a qualitative research approach, conducting interviews with a participant interview guide framed based on Proctor's taxonomy of implementation outcomes and informed by the Theoretical Domains Framework. Participants included pharmacists with informatics roles within hospitals, chief medical informatics officers, and associate medical informatics directors/officers. Our data analysis was informed by the technique used in grounded theory analysis, and the reporting of open coding results was based on a modified version of the Safety-Related Electronic Health Record Research Reporting Framework. RESULTS: Our analysis generated 15 barriers, and we mapped the interconnections of these barriers, which clustered around three entities (i.e., users, organizations, and technical stakeholders). Our findings revealed that misaligned interests regarding DDI alert performance and misaligned expectations regarding DDI alert optimizations among these entities within health care organizations could result in system inertia in implementing tailored DDI alerts. CONCLUSION: Health care organizations primarily determine the implementation and optimization of DDI alerts, and it is essential to identify and demonstrate value metrics that health care organizations prioritize to enable tailored DDI alert implementation. This could be achieved via a multifaceted approach, such as partnering with health care organizations that have the capacity to adopt tailored DDI alerts and identifying specialists who know users' needs, liaise with organizations and vendors, and facilitate technical stakeholders' work. In the future, researchers can adopt the systematic approach to study tailored DDI implementation problems from other system perspectives (e.g., the vendors' system).

Chimeric antigen receptor T-cell immunotherapies adverse events reported to FAERS database: focus on cytopenias.

Chimeric antigen receptor (CAR) T-cell therapy presents a promising treatment for hematologic malignancies, displaying high efficacy but not being exempt from toxicity. In this observational study, we assessed adverse events (AEs) reported to the Food and Drug Adverse Event Reporting System (FAERS) including any of the six approved CAR T-cell therapies. A total of 5249 reports mentioning a CAR T-cell as a suspect product were retrieved from the FAERS database, containing a total of 24333 AEs, of which 3236 (13.3%) were cytopenias. The highest number of AEs mentioned by the report was observed for tisagenlecleucel (mean = 6.7), with the lowest for ciltacabtagene (mean = 1.3). Among all reports, hematopoietic leukopenia was the most frequently reported AEs (n = 1386, 5.7%), with hematopoietic erytropenia the least reported (n = 291, 1.2%). Tisagenlecleucel showed a high reporting odds ratio for hematopoietic erythropenia (27.28, 95%CI 14.04-53.00), leukopenia (4.04, 95%CI 3.52-4.64), and thrombocytopenia (4.01, 95%CI 3.19-5.03). Cytopenias represent one of the most frequently reported AEs in FAERS, a CAR T-cell therapy is indicated, with haematopoetic leukopenia being the most common. When comparing different CAR-T cell therapies, the cytopenias' reporting odds ratio was particularly high for tisagenlecleucel, especially in relation to hematopoietic erythropenia.

Real-world evidence in the use of Bevacizumab in age-related macular degeneration (ArMD): a scoping review.

PURPOSE: Pharmacological treatments for age-related macular degeneration (ArMD) include anti-vascular endothelial growth factor therapies. Bevacizumab is used off-label, as it has no indication for ArMD. This study aims to identify and describe literature on real-world evidence of bevacizumab (originator or biosimilars) use in ArMD. METHODS: A scoping review was conducted in Medline, CINAHL and Embase databases. Studies published in English after September 2017, conducted in USA, including adults (≥ 18 years old) with ArMD who received treatment with bevacizumab for ArMD were included. The review was further limited to peer-reviewed observational studies that quantitatively analyze either clinical or patient-reported outcomes among patients treated with bevacizumab for ArMD. RESULTS: The search strategy retrieved 543 studies. After title and abstract screening, a total of 142 studies were selected for full-text review leading to a total of 12 studies qualifying for data charting. All were retrospective studies. Five (41.6%) of the studies had less than 500 eyes included in the analysis, and the rest had over a thousand eyes. All except one study reported clinical outcomes (visual acuity was the main outcome in 8 (66.6%) studies). There were 3 (25%) studies reporting adverse events of bevacizumab intravitreal injections. None of the studies specified using biosimilars for bevacizumab and none mentioned patient-reported outcomes. CONCLUSION: The lack of studies aiming to study the patient-reported outcomes as well as the use of biosimilars of bevacizumab in ArMD makes this field a potential for future research. The different exposures and times to follow-up make it difficult to compare results among the selected studies.

Drug exposure during pregnancy in primary care: an algorithm and observational study from SIDIAP database, Catalunya, Spain.

OBJECTIVES: To develop an algorithm to identify pregnancy episodes in women at childbearing age using SIDIAP (Information System for the Improvement of Research in Primary Care) data (Catalunya, Spain).To describe drugs dispensed during gestation. DESIGN: Construction of an algorithm to identify all pregnancy episodes occurred from January 2011 to June 2020 in women aged 12-50. The variables used to create the algorithm include first day of last menstrual period, reasons for pregnancy termination and diagnoses registered in the primary healthcare records. Population-based cohort study including the pregnancy episodes identified by the algorithm. SETTING: Catalonia, Spain. PARTICIPANTS: All women aged 12-50 with at least one pregnancy episode occurred during January 2011-June 2020. INTERVENTIONS: No interventions performed. PRIMARY AND SECONDARY OUTCOME MEASURES: Identification of pregnancy episodes through an algorithm and description of drug exposure. RESULTS: We identified 327 865 pregnancy episodes in 250 910 people with a mean age of 31.3 years. During the study period, 83.4% of the episodes were exposed to at least one drug. The most frequent groups dispensed were iron preparations (48% of pregnancy episodes), iodine therapy (40.2%), analgesics and antipyretics (28%), penicillins (19.8%), vitamin B12 plus folic acid (19.7%) and non-steroidal anti-inflammatory drugs (NSAIDs, 15.1%). The supplements were more frequently dispensed at least twice, and the drugs for acute conditions were mainly dispensed only once during the pregnancy episode. CONCLUSIONS: We developed an algorithm to automatically identify the pregnancy periods in SIDIAP.We described prescription drugs used during pregnancy. The most used ones were supplements, analgesics, NSAID or antibiotics.SIDIAP might be an efficient database to study drug safety during pregnancy and the consequences of drug use in the offspring. TRIAL REGISTRATION NUMBER: EUPAS37675.

Cost-effectiveness analysis of five anti-obesity medications from a US payer's perspective.

BACKGROUND AND AIMS: To determine the cost-effectiveness of anti-obesity medications (AOM): tirzepatide, semaglutide, liraglutide, phentermine plus topiramate (PpT), and naltrexone plus bupropion (NpB). METHODS AND RESULTS: From a U.S. perspective we developed a Markov model to simulate weight change over a 40-year time horizon using results from clinical studies. According to the body mass index (BMI), cardiovascular diseases, diabetes and mortality risk were the health states considered in the model, being mutually exclusive. Costs of AOM, adverse events, cardiovascular events, and diabetes were included. We applied a 3% per-year discount rate and calculated the incremental cost-effectiveness ratios (ICERs) of cost per quality-adjusted life-year (QALY) gained. Probabilistic sensitivity analyses incorporated uncertainty in input parameters. A deterministic analysis was conducted to determine the robustness of the model. The model included a cohort of 78.2% females with a mean age of 45 years and BMI of 37.1 (SD 4.9) for females and 36.8 (SD 4.9) for males. NpB and PpT were the least costly medications and, all medications differed no more than 0.5 QALYs. Tirzepatide ICER was $355,616 per QALY. Liraglutide and semaglutide options were dominated by PpT. CONCLUSION: Compared to other AOM, PpT was lowest cost treatment with nearly identical QALYs with other agents.

Primary health care research in COVID-19: analysis of the protocols reviewed by the ethics committee of IDIAPJGol, Catalonia.

BACKGROUND: Since March of 2020, the scientific community has been engaged a marathon to answer the different questions that COVID-19 pandemic has brought. During this time, Ethics Committees played an important role in reviewing the research protocols, COVID-19 or not, ensuring that the quality of scientific research is not relaxed by the hasty need for answers. METHODS: Descriptive study from January 2019 to December 2021, comparing COVID-19 protocols to those not COVID-19 related protocols and comparing the work overload. Variables related to the characteristics of the research protocols (i.e. study design, funding…), the principal investigators (gender, PhD degree, professional role…) and outcomes of the Ethics Committee process (requirements of modifications and time until approval) were analyze. RESULTS: The number of sessions increased during COVID-19 pandemics (12 in 2019, 25 in 2020 and 18 in 2021). In total 751 protocols were evaluated during the study period; 513 (68.3%) had an observational design and 434 (57.8%) had no funding. The principal investigator was a woman in 491 (65.4%) studies and a General Practitioner in 330 (43.9%). The mean of the days until the protocol approval was 42.09 days (SD 60.2) with a decrease of 20.1 days from 2019 to 2021. A total of 614 (81.7%) protocols were approved, 336 (54.7%) within the first month after their initial evaluation. Less than half of the protocols were COVID-19 related (208, 44.3%). The COVID-19 protocols main topics were impact on the population (71, 34.1%); and COVID-19 pharmacological treatments (including vaccines) showed a higher increase in 2021 (37, 30.3%). CONCLUSIONS: Despite the work overload during the pandemic due to the increase in the number of meetings and protocols, the IDIAPJGol EC reviewed all of them (COVID-19 or not) adapting to the new situation but according to its criteria of good practices to provide a quick response in the EC opinion. In Primary Health Care the most study designs have been observational studies, many of them with no funding and led by GPs. In 2021 there was an increase in the number of protocols focused on drugs, most likely related to COVID-19 vaccines studies.

Drugs That Interact With Colchicine Via Inhibition of Cytochrome P450 3A4 and P-Glycoprotein: A Signal Detection Analysis Using a Database of Spontaneously Reported Adverse Events (FAERS).

BACKGROUND: Colchicine has a narrow therapeutic index. Its toxicity can be increased due to concomitant exposure to drugs inhibiting its metabolic pathway; these are cytochrome P450 3A4 (CYP3A4) and P-glycoprotein (P-gp). OBJECTIVE: To examine clinical outcomes associated with colchicine drug interactions using the spontaneous reports of the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). METHODS: We conducted a disproportionality analysis using FAERS data from January 2004 through June 2020. The reporting odds ratio (ROR) and observed-to-expected ratio (O/E) with shrinkage for adverse events related to colchicine's toxicity (ie, rhabdomyolysis/myopathy, agranulocytosis, hemorrhage, acute renal failure, hepatic failure, arrhythmias, torsade de pointes/QT prolongation, and cardiac failure) were compared between FAERS reports. RESULTS: A total of 787 reports included the combined mention of colchicine, an inhibitor of both CYP3A4 and P-gp drug, and an adverse event of interest. Among reports that indicated the severity, 61% mentioned hospitalization and 24% death. A total of 37 ROR and 34 O/E safety signals involving colchicine and a CYP3A4/P-gp inhibitor were identified. The strongest ROR signal was for colchicine + atazanavir and rhabdomyolysis/myopathy (ROR = 35.4, 95% CI: 12.8-97.6), and the strongest O/E signal was for colchicine + atazanavir and agranulocytosis (O/E = 3.79, 95% credibility interval: 3.44-4.03). CONCLUSION AND RELEVANCE: This study identifies numerous safety signals for colchicine and CYP3A4/P-gp inhibitor drugs. Avoiding the interaction or monitoring for toxicity in patients when co-prescribing colchicine and these agents is highly recommended.

Colchicine Drug Interaction Errors and Misunderstandings: Recommendations for Improved Evidence-Based Management.

Colchicine is useful for the prevention and treatment of gout and a variety of other disorders. It is a substrate for CYP3A4 and P-glycoprotein (P-gp), and concomitant administration with CYP3A4/P-gp inhibitors can cause life-threatening drug-drug interactions (DDIs) such as pancytopenia, multiorgan failure, and cardiac arrhythmias. Colchicine can also cause myotoxicity, and coadministration with other myotoxic drugs may increase the risk of myopathy and rhabdomyolysis. Many sources of DDI information including journal publications, product labels, and online sources have errors or misleading statements regarding which drugs interact with colchicine, as well as suboptimal recommendations for managing the DDIs to minimize patient harm. Furthermore, assessment of the clinical importance of specific colchicine DDIs can vary dramatically from one source to another. In this paper we provide an evidence-based evaluation of which drugs can be expected to interact with colchicine, and which drugs have been stated to interact with colchicine but are unlikely to do so. Based on these evaluations we suggest management options for reducing the risk of potentially severe adverse outcomes from colchicine DDIs. The common recommendation to reduce the dose of colchicine when given with CYP3A4/P-gp inhibitors is likely to result in colchicine toxicity in some patients and therapeutic failure in others. A comprehensive evaluation of the almost 100 reported cases of colchicine DDIs is included in table form in the electronic supplementary material. Colchicine is a valuable drug, but improvements in the information about colchicine DDIs are needed in order to minimize the risk of serious adverse outcomes.

Effectiveness of antitussives, anticholinergics, and honey versus usual care in adults with uncomplicated acute bronchitis: a multiarm randomized clinical trial.

BACKGROUND: Despite the frequent use of symptomatic therapies in cough, evidence of their benefits is lacking. OBJECTIVE: We compared the effectiveness of 3 symptomatic therapies and usual care in acute bronchitis. METHODS: Multicenter, pragmatic, multiarm parallel group, open randomized trial in primary care (ClinicalTrials.gov, Identifier: NCT03738917) was conducted in Catalonia. Patients ≥18 with uncomplicated acute bronchitis, with cough<3 weeks as the main symptom, scoring ≥4 in either daytime or nocturnal cough (7-point Likert scale), were randomized to usual care, dextromethorphan 15 mg t.i.d., ipratropium bromide inhaler 20 µg 2 puffs t.i.d, or 30 mg of honey t.i.d., all taken for up to 14 days. The main outcome measure was the number of days with moderate-to-severe cough. A symptom diary was given. A second visit was scheduled at days 2-3 for assessing evolution, with 2 more visits at days 15 and 29 for clinical assessment, evaluation of adverse effects, re-attendance, and complications. RESULTS: We failed to achieve the sample size scheduled due to the COVID-19 pandemic. We finally recruited 194 patients. The median number of days with moderate-to-severe cough (score ≥ 3) in the usual care arm was 5 (interquartile range [IQR], 4, 8.75), 5 in the ipratropium bromide arm (IQR, 3, 8), 5 in the dextromethorphan arm (IQR, 4, 9.75), and 6 in the honey arm (IQR, 3.5, 7). The same results were obtained in the Kaplan-Meier survival analysis for the median survival time of each arm with the usual care as the reference group. CONCLUSION: The symptomatic treatment evaluated has shown to be ineffective against cough.

Cough is the most frequent symptom reported by patients with lower respiratory tract infections. Despite being a defense mechanism, cough is unpleasant and negatively affects sleep and overall well-being. Accordingly, many patients with acute cough seek medical help to mitigate symptoms and reduce their duration despite the typically self-limiting nature of the condition. In this randomized clinical trial, we explored the benefit of 3 common symptomatic treatments recommended in some guidelines for relieving this symptom during the course of uncomplicated acute bronchitis, a cough suppressant, an inhaler, and honey intake. Although the total number of patients initially expected could not be achieved due to the disruption caused by the COVID-19 pandemic, the results of our study demonstrate a lack of efficacy of these products as the number of days of severe-to-moderate cough was similar in the 3 arms and comparable to the group of patients allocated to usual care.

Risk of psychiatric events in women treated with isotretinoin: a self-controlled study with SIDIAP database.

BACKGROUND: Since isotretinoin marketing, reports of psychiatric events have been noted. Howeverto date, a relation between these events and acne or isotretinoin treatment has not been clearly established. Our objective was to analyze the incidence of psychiatric events in women receiving isotretinoin. METHODS: Self-controlled study including women treated with isotretinoin from July 2014 to December 2018. Data source was SIDIAP, a primary health care-based database from Catalonia, Spain. Risk of psychiatric events was analyzed during the isotretinoin exposure and during the previous and posterior periods of non-exposure. RESULTS: We included 4,738 women in the study, 25.3% of them had history psychiatric disorders prior to receiving isotretinoin. During the follow-up, 782 (16.5%) patients were diagnosed with new mental disorders and 925 (19.5%) received new psychotropic drug prescriptions. We found a trend to an increase of new events when the previous non-exposure and the isotretinoin exposure periods were compared, with no significant differences. Incident psychiatric events during isotretinoin exposure was significantly higher in those patients with previous psychiatric history. CONCLUSIONS: We cannot conclude any causality between acne and isotretinoin and the appearance of new psychiatric events. However, we contribute to the evidence with a more robust methodological approach, which minimizes the effect of confounding variables.

Drug-drug interaction between dexamethasone and direct-acting oral anticoagulants: a nested case-control study in the National COVID Cohort Collaborative (N3C).

OBJECTIVE: The goal of this work is to evaluate if there is an increase in the risk of thromboembolic events (TEEs) due to concomitant exposure to dexamethasone and apixaban or rivaroxaban. Direct oral anticoagulants (DOACs), as well as corticosteroid dexamethasone, are commonly used to treat individuals hospitalised with COVID-19. Dexamethasone induces cytochrome P450-3A4 enzyme that also metabolises DOACs apixaban and rivaroxaban. This raises a concern about possible interaction between dexamethasone and DOACs that may reduce the efficacy of the DOACs and result in an increased risk of TEE. DESIGN: We used nested case-control study design. SETTING: This study was conducted in the National COVID Cohort Collaborative (N3C), the largest electronic health records repository for COVID-19 in the USA. PARTICIPANTS: Study participants were adults over 18 years who were exposed to a DOAC for 10 or more consecutive days. Exposure to dexamethasone was at least 5 or more consecutive days. PRIMARY AND SECONDARY OUTCOME MEASURES: Our primary exposure variable was concomitant exposure to dexamethasone for 5 or more days after exposure to either rivaroxaban or apixaban for 5 or more consecutive days. We used McNemar's Χ2 test and adjusted logistic regression to evaluate association between concomitant use of dexamethasone with either apixaban or rivaroxaban. RESULTS: McNemar's Χ2 test did not find a discernible association of TEE in patients concomitantly exposed to dexamethasone and a DOAC (χ2=0.5, df=1, p=0.48). In addition, a conditional logistic regression model did not find an increase in the risk of TEE (adjusted OR 1.15, 95% CI 0.32 to 4.18). CONCLUSION: This nested case-control study did not find evidence of an association between concomitant exposure to dexamethasone and a DOAC with an increase in risk of TEE. Due to small sample size, an association cannot be completely ruled out.

Automatic Estimation of the Most Likely Drug Combination in Electronic Health Records Using the Smooth Algorithm: Development and Validation Study.

BACKGROUND: Since the use of electronic health records (EHRs) in an automated way, pharmacovigilance or pharmacoepidemiology studies have been used to characterize the therapy using different algorithms. Although progress has been made in this area for monotherapy, with combinations of 2 or more drugs the challenge to characterize the treatment increases significantly, and more research is needed. OBJECTIVE: The goal of the research was to develop and describe a novel algorithm that automatically returns the most likely therapy of one drug or combinations of 2 or more drugs over time. METHODS: We used the Information System for Research in Primary Care as our reference EHR platform for the smooth algorithm development. The algorithm was inspired by statistical methods based on moving averages and depends on a parameter Wt, a flexible window that determines the level of smoothing. The effect of Wt was evaluated in a simulation study on the same data set with different window lengths. To understand the algorithm performance in a clinical or pharmacological perspective, we conducted a validation study. We designed 4 pharmacological scenarios and asked 4 independent professionals to compare a traditional method against the smooth algorithm. Data from the simulation and validation studies were then analyzed. RESULTS: The Wt parameter had an impact over the raw data. As we increased the window length, more patient were modified and the number of smoothed patients augmented, although we rarely observed changes of more than 5% of the total data. In the validation study, significant differences were obtained in the performance of the smooth algorithm over the traditional method. These differences were consistent across pharmacological scenarios. CONCLUSIONS: The smooth algorithm is an automated approach that standardizes, simplifies, and improves data processing in drug exposition studies using EHRs. This algorithm can be generalized to almost any pharmacological medication and model the drug exposure to facilitate the detection of treatment switches, discontinuations, and terminations throughout the study period.