Are drug safety measures harmonized? A real-world evidence from three regulatory authorities.

Background: Risk minimization measures (RMMs) are interventions intended to mitigate or prevent the occurrence of adverse reactions associated with medications. Having consistent measures across regulatory bodies (i.e., the Saudi Food and Drug Authority (SFDA), the United States Food and Drug Administration (US FDA), and the European Medicines Agency (EMA)) benefits medication use and safety and ultimately the patient. Objectives: This study aimed to investigate whether there is variability in these published RMMs between the three regulatory bodies. Methods: A specific data collection form was created to extract information from the SFDA's RMM list, US FDA's Risk Evaluation and Mitigation Strategy (REMS) list, and EMA's Risk Management Plan (RMP) list, as of February 2022 all RMMs that were available on the websites were reviewed. Medications with the same trade name were matched across regulators, and unmatched medications were checked for approval status. For medication groups such as NSAIDs in the SFDA's RMM list, they were matched by searching for the groups individually in the regulatory websites. All risks and types of minimizing measures were compared. Results: A total of 317 medications were retrieved from the SFDA's RMM list. The majority of medication classes were immunosuppressants (n = 60), antihypertensive (n = 33), and oncology medication (n = 29). There were only 62 medications with REMS from the US FDA website, a total of 14 medications were approved by the SFDA, and only nine medications were matched with the SFDA's RMM list. Also, there were 828 medications with RMP from the EMA website, a total of 334 has RMM, 128 are approved by the SFDA, and 71 matched with the SFDA's RMM list. Furthermore, seven medications were matched between SFDA, US FDA and EMA. After content review, four medications had similar risks and measures across the regulators and three medications had different risks and measures across the regulators. For the medication groups, a total of 36 groups were in the SFDA's list, 18 groups were matched with the US FDA, and 14 were matched with the EMA. Conclusions: Our study showed substantial differences among the regulatory authorities regarding RMMs. Harmony in published risk measures can have a significant impact on medication safety.

Clinical Characterization of Patients Diagnosed with Prostate Cancer and Undergoing Conservative Management: A PIONEER Analysis Based on Big Data.

BACKGROUND: Conservative management is an option for prostate cancer (PCa) patients either with the objective of delaying or even avoiding curative therapy, or to wait until palliative treatment is needed. PIONEER, funded by the European Commission Innovative Medicines Initiative, aims at improving PCa care across Europe through the application of big data analytics. OBJECTIVE: To describe the clinical characteristics and long-term outcomes of PCa patients on conservative management by using an international large network of real-world data. DESIGN, SETTING, AND PARTICIPANTS: From an initial cohort of >100 000 000 adult individuals included in eight databases evaluated during a virtual study-a-thon hosted by PIONEER, we identified newly diagnosed PCa cases (n = 527 311). Among those, we selected patients who did not receive curative or palliative treatment within 6 mo from diagnosis (n = 123 146). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Patient and disease characteristics were reported. The number of patients who experienced the main study outcomes was quantified for each stratum and the overall cohort. Kaplan-Meier analyses were used to estimate the distribution of time to event data. RESULTS AND LIMITATIONS: The most common comorbidities were hypertension (35-73%), obesity (9.2-54%), and type 2 diabetes (11-28%). The rate of PCa-related symptomatic progression ranged between 2.6% and 6.2%. Hospitalization (12-25%) and emergency department visits (10-14%) were common events during the 1st year of follow-up. The probability of being free from both palliative and curative treatments decreased during follow-up. Limitations include a lack of information on patients and disease characteristics and on treatment intent. CONCLUSIONS: Our results allow us to better understand the current landscape of patients with PCa managed with conservative treatment. PIONEER offers a unique opportunity to characterize the baseline features and outcomes of PCa patients managed conservatively using real-world data. PATIENT SUMMARY: Up to 25% of men with prostate cancer (PCa) managed conservatively experienced hospitalization and emergency department visits within the 1st year after diagnosis; 6% experienced PCa-related symptoms. The probability of receiving therapies for PCa decreased according to time elapsed after the diagnosis.

Coronavirus disease 2019 in Saudi Arabia: A nationwide real-world characterization study.

Background: On March 11th, 2020, The World Health Organization (WHO) declared that the COVID-19 is a pandemic due to its worldwide spread. The COVID-19 pandemic has extended its impact to Saudi Arabia. By mid-February 2021, The Kingdom of Saudi Arabia has reported more than 373,000 COVID-19 cases impacting different population categories (i.e., male, female, different age groups, comorbidities status). The objective of this nationwide study was to describe and explore the characteristics of hospitalized patients diagnosed with COVID-19 in Saudi Arabia. Methods: This study was an observational epidemiological study based on collected clinical data from ten health institutions across all regions in Saudi Arabia. The study was conducted during the period from March 2nd, 2020, to January 31st, 2021. The data were collected included demographics, medical information, medications, and laboratory and diagnostic. More detailed information on usually missing factors such as smoking status, comorbidities, length of hospital stay were also collected. Both descriptive and inferential analyses were conducted using the statistical analysis software "SAS®" version 9.4. Results: During the study period, 5286 patients were included in this study. Of these, (79.15%) were male. Of all 5286 patients, quite a high number of the studied population 2010 (38.02%) were smokers. The majority of the patients 3436 (65%) were reported to have comorbidities, with hypertension being the most common disease 1725 (32.6%), followed by diabetes 1641(31.04%). A high proportion of the patients, 2220 patients (41.99%), were admitted to the intensive care unit; of these, (33.52%) were on mechanical ventilation. Most patients received anticoagulant prophylaxis medications (n = 4414, 83.5%). All patients were given more than one antibiotic prophylaxis. Overall, the median hospital stay was 5.5 days, and the median length in the intensive care unit was 4.26 days. Around (89.14%) of patients were discharged from the hospital, and (10.8%) died. Conclusion: In this real-world study utilizing a large sample size, this study provides confirmatory results on the COVID-19 patients characteristics that are similar to other populations. Healthcare professionals need to give COVID-19 patients with specific characteristics including smoking, diabetes mellitus and cardiac disease more care to avoid losing these patients.

Vaccine adverse event reporting system (VAERS): Evaluation of 31 years of reports and pandemics' impact.

Background: Vaccine adverse event reporting system (VAERS) was established in the United States (U.S.) as an early warning system with a main purpose of collecting post-marketing Adverse events following immunizations (AEFIs) reports to monitor the vaccine safety and to mitigate the risks from vaccines. During the coronavirus diseases 2019 (COVID-19) pandemic, VAERS got more attention as its important role in monitoring the safety of the vaccines. The aim of this study was to investigate VAERS patterns, reported AEFI, vaccines, and impact of different pandemics since its inception. Methods: This was an observational study using VARES data from 2/7/1990 to 12/11/2021. Patterns of reports over years were first described, followed by a comparison of reports statistics per year. Furthermore, a comparison of incidents (death, ER visits, etc.) statistics over years, in addition to statistics of each vaccine were calculated. Moreover, each incident's statistics for each vaccine were calculated and top vaccines were reported. All analyses were conducted using R (Version 1.4.1717) and Excel for Microsoft 365. Results: There were 1,396,280 domestic and 346,210 non-domestic reports during 1990-2021, including 228 vaccines. For both domestic and non-domestic reports, year of 2021 had the highest reporting rate (48.52 % and 70.33 %), in addition a notable change in AEFIs patterns were recorded during 1991, 1998, 2000, 2006, 2009, 2011, and 2017. AEFIs were as follow: deaths (1.00 % and 4.08 %), ER or doctor visits (13.37 % and 2.27 %), hospitalizations (5.84 % and 27.78 %), lethal threat (1.42 % and 4.38 %), and disabilities (1.4 % and 7.96 %). Pyrexia was the top reported symptom during the past 31 years, except for 2021 where headache was the top one. COVID-19 vaccines namely Moderna, Pfizer-Biontech, and Janssen were the top 3 reported vaccines with headache, pyrexia, and fatigue as the top associated AEFIs. Followed by Zoster, Seasonal Influenza, Pneumococcal, and Human papillomavirus vaccines. Conclusions: The large data available in VARES make it a useful tool for detecting and monitoring vaccine AEFIs. However, its usability relies on understating the limitations of this surveillance system, the impact of governmental regulations, availability of vaccines, and public health recommendations on the reporting rate.

Characteristics and Outcomes of Over 300,000 Patients with COVID-19 and History of Cancer in the United States and Spain.

BACKGROUND: We described the demographics, cancer subtypes, comorbidities, and outcomes of patients with a history of cancer and coronavirus disease 2019 (COVID-19). Second, we compared patients hospitalized with COVID-19 to patients diagnosed with COVID-19 and patients hospitalized with influenza. METHODS: We conducted a cohort study using eight routinely collected health care databases from Spain and the United States, standardized to the Observational Medical Outcome Partnership common data model. Three cohorts of patients with a history of cancer were included: (i) diagnosed with COVID-19, (ii) hospitalized with COVID-19, and (iii) hospitalized with influenza in 2017 to 2018. Patients were followed from index date to 30 days or death. We reported demographics, cancer subtypes, comorbidities, and 30-day outcomes. RESULTS: We included 366,050 and 119,597 patients diagnosed and hospitalized with COVID-19, respectively. Prostate and breast cancers were the most frequent cancers (range: 5%-18% and 1%-14% in the diagnosed cohort, respectively). Hematologic malignancies were also frequent, with non-Hodgkin's lymphoma being among the five most common cancer subtypes in the diagnosed cohort. Overall, patients were aged above 65 years and had multiple comorbidities. Occurrence of death ranged from 2% to 14% and from 6% to 26% in the diagnosed and hospitalized COVID-19 cohorts, respectively. Patients hospitalized with influenza (n = 67,743) had a similar distribution of cancer subtypes, sex, age, and comorbidities but lower occurrence of adverse events. CONCLUSIONS: Patients with a history of cancer and COVID-19 had multiple comorbidities and a high occurrence of COVID-19-related events. Hematologic malignancies were frequent. IMPACT: This study provides epidemiologic characteristics that can inform clinical care and etiologic studies.

Thirty-Day Outcomes of Children and Adolescents With COVID-19: An International Experience.

OBJECTIVES: To characterize the demographics, comorbidities, symptoms, in-hospital treatments, and health outcomes among children and adolescents diagnosed or hospitalized with coronavirus disease 2019 (COVID-19) and to compare them in secondary analyses with patients diagnosed with previous seasonal influenza in 2017-2018. METHODS: International network cohort using real-world data from European primary care records (France, Germany, and Spain), South Korean claims and US claims, and hospital databases. We included children and adolescents diagnosed and/or hospitalized with COVID-19 at age <18 between January and June 2020. We described baseline demographics, comorbidities, symptoms, 30-day in-hospital treatments, and outcomes including hospitalization, pneumonia, acute respiratory distress syndrome, multisystem inflammatory syndrome in children, and death. RESULTS: A total of 242 158 children and adolescents diagnosed and 9769 hospitalized with COVID-19 and 2 084 180 diagnosed with influenza were studied. Comorbidities including neurodevelopmental disorders, heart disease, and cancer were more common among those hospitalized with versus diagnosed with COVID-19. Dyspnea, bronchiolitis, anosmia, and gastrointestinal symptoms were more common in COVID-19 than influenza. In-hospital prevalent treatments for COVID-19 included repurposed medications (<10%) and adjunctive therapies: systemic corticosteroids (6.8%-7.6%), famotidine (9.0%-28.1%), and antithrombotics such as aspirin (2.0%-21.4%), heparin (2.2%-18.1%), and enoxaparin (2.8%-14.8%). Hospitalization was observed in 0.3% to 1.3% of the cohort diagnosed with COVID-19, with undetectable (n < 5 per database) 30-day fatality. Thirty-day outcomes including pneumonia and hypoxemia were more frequent in COVID-19 than influenza. CONCLUSIONS: Despite negligible fatality, complications including hospitalization, hypoxemia, and pneumonia were more frequent in children and adolescents with COVID-19 than with influenza. Dyspnea, anosmia, and gastrointestinal symptoms could help differentiate diagnoses. A wide range of medications was used for the inpatient management of pediatric COVID-19.

Direct healthcare professional communications: A quantitative assessment study.

A retrospective observational study evaluated the direct healthcare professional communication (DHPC) letters disseminated by the Saudi Food and Drug Authority (SFDA) and their compliance with the pharmacovigilance guidelines. The study was utilized all DHPC letters available on the SFDA website, which is intended to communicate drug safety information to healthcare professionals (HCPs). Then, the letters were evaluated based on DHPC letter requirements approved in the European Medicines Agency (EMA) pharmacovigilance guidelines. Statistical analyses were conducted utilizing statistical analysis software (SAS® version 9.4). In June 2020, 169 letters were retrieved from the SFDA website. Most of the letters had the marketing authorization holder's logo (97%) and mentioned the date of letter issuance (98.8%). The most frequently discussed safety issues were hyperkalemia risk associated with combining renin-angiotensin-aldosterone system (RAAS) medications (10.6%) and cardiac risks (9%). Antineoplastic and immunosuppressant classes were associated with a majority of DHPC letters (15% for each category). A significant percentage of DHPC letters (10%) did not mention an agreement statement with SFDA, and 42 letters did not include marketing authorization holders (MAHs) contact information. The qualified persons responsible for pharmacovigilance and medical directors had signed most of the DHPC letters (51% and 46%, respectively). Many letters mentioned the details of reporting information to both SFDA and an MAH (82%). Moreover, 66% of the DHPC letters presented safety information within the 2-page limit. In conclusion, the DHPC letters disseminated by MAHs in Saudi Arabia have an acceptable level of compliance with the guidelines.

Prevalence and Factors Associated With Polypharmacy Use Among Adult Patients in Saudi Arabia.

BACKGROUND: Polypharmacy is very common in clinical practice, especially among adult patients. The use of multiple medications may increase the risk of adverse drug events, medication cost, and medication errors. In addition, polypharmacy exacerbates treatment complexity, which consequently leads to poor patients' adherence to their medications. Despite being a well-recognized problem, few studies have investigated the prevalence and predictors of polypharmacy in Saudi Arabia. OBJECTIVES: The aims of the study were to investigate the prevalence of polypharmacy among adult patients in a tertiary teaching hospital and to determine patients' characteristics that are associated with polypharmacy. METHODS: This was a retrospective cross-sectional study using data extracted from the electronic health records database for a period of 6 months between January and June 2016 in outpatient setting. Descriptive statistics were used to analyze the study sample. A multivariate logistic regression model was used to examine the association between different variables and polypharmacy. Statistical analysis software (SAS 9.2) was used to analyze the study data. RESULTS: A total of 17,237 observations (67.2% females) were included in the final analysis. Of these, nearly 54% (n = 9222) of reported observations were found using up to four prescription drugs and the other 46% (n = 8015) were using five or more prescription drugs. Interestingly, the prevalence of polypharmacy use was doubled among adults with hypertension as compared with those without hypertension (odds ratio [OR] = 2.68, 95% confidence interval [CI] = 2.51-2.87). In addition, polypharmacy use was two times more prevalent among adults with diabetes as compared with those without diabetes (OR = 2.31, 95% CI = 1.99-2.28) and five times more prevalent in patient with dementia (OR = 5.57, 95% CI = 1.26-24.7). Moreover, polypharmacy in adult patients was significantly influenced by sex (OR = 1.69, 95% CI = 1.59-1.80) and nationality (OR = 2.15, 95% CI = 2.00-2.31). CONCLUSIONS: Polypharmacy is common among adult patients especially those who are older than 60 years. Polypharmacy may affect the overall process of drug therapy. It can be a risk factor to develop undesirable adverse drug events, especially in those with chronic health conditions. A special care should be taken to manage polypharmacy among adults in Saudi Arabia.

Baseline characteristics, management, and outcomes of 55,270 children and adolescents diagnosed with COVID-19 and 1,952,693 with influenza in France, Germany, Spain, South Korea and the United States: an international network cohort study.

Objectives To characterize the demographics, comorbidities, symptoms, in-hospital treatments, and health outcomes among children/adolescents diagnosed or hospitalized with COVID-19. Secondly, to describe health outcomes amongst children/adolescents diagnosed with previous seasonal influenza. Design International network cohort. Setting Real-world data from European primary care records (France/Germany/Spain), South Korean claims and US claims and hospital databases. Participants Diagnosed and/or hospitalized children/adolescents with COVID-19 at age <18 between January and June 2020; diagnosed with influenza in 2017-2018. Main outcome measures Baseline demographics and comorbidities, symptoms, 30-day in-hospital treatments and outcomes including hospitalization, pneumonia, acute respiratory distress syndrome (ARDS), multi-system inflammatory syndrome (MIS-C), and death. Results A total of 55,270 children/adolescents diagnosed and 3,693 hospitalized with COVID-19 and 1,952,693 diagnosed with influenza were studied. Comorbidities including neurodevelopmental disorders, heart disease, and cancer were all more common among those hospitalized vs diagnosed with COVID-19. The most common COVID-19 symptom was fever. Dyspnea, bronchiolitis, anosmia and gastrointestinal symptoms were more common in COVID-19 than influenza. In-hospital treatments for COVID-19 included repurposed medications (<10%), and adjunctive therapies: systemic corticosteroids (6.8% to 37.6%), famotidine (9.0% to 28.1%), and antithrombotics such as aspirin (2.0% to 21.4%), heparin (2.2% to 18.1%), and enoxaparin (2.8% to 14.8%). Hospitalization was observed in 0.3% to 1.3% of the COVID-19 diagnosed cohort, with undetectable (N<5 per database) 30-day fatality. Thirty-day outcomes including pneumonia, ARDS, and MIS-C were more frequent in COVID-19 than influenza. Conclusions Despite negligible fatality, complications including pneumonia, ARDS and MIS-C were more frequent in children/adolescents with COVID-19 than with influenza. Dyspnea, anosmia and gastrointestinal symptoms could help differential diagnosis. A wide range of medications were used for the inpatient management of pediatric COVID-19.

Oral antidiabetic medication adherence and glycaemic control among patients with type 2 diabetes mellitus: a cross-sectional retrospective study in a tertiary hospital in Saudi Arabia.

OBJECTIVES: The purpose of this study is to measure the adherence rates of oral antidiabetic drugs (OADs) in patients with type 2 diabetes mellitus (T2DM) and assess the relationship of glycaemic control and adherence to OADs after controlling for other associated factors. DESIGN: Cross-sectional retrospective study. SETTING: Large tertiary hospital in the central region of Saudi Arabia. PARTICIPANTS: 5457patients aged 18 years and older diagnosed with T2DM during the period from 1 January 2016 to 31 December 2016. PRIMARY AND SECONDARY OUTCOME MEASURES: The modified medication possession ratio (mMPR) was calculated as a proxy measure for adherence of OADs. The factors associated with OADs non-adherence and medication oversupply were assessed using multinomial logistic regression models. The secondary outcomes were to measure the association between OADs adherence and glycaemic control. RESULTS: Majority of patients with T2DM were females (n=3400, 62.3%). The average glycated haemoglobin was 8.2±1.67. Among the study population, 48.6% had good adherence (mMPR >0.8) and 8.6% had a medication oversupply (mMPR >1.2). Good adherence was highest among those using repaglinide (71.0%) followed by pioglitazone (65.0%) and sitagliptin (59.0%). In the multivariate analysis, women with T2DM were more likely to have poor adherence (adjusted OR (AOR)=0.76, 95% CI=0.67, 0.86) compared with men. Also, medication oversupply was more likely among patients with hyperpolypharmacy (AOR=1.88, 95% CI=1.36, 2.63), comorbid osteoarthritis (AOR=1.72, 95% CI=1.20, 02.45) and non-Saudi patients (AOR=1.53, 95% CI=1.16, 2.01). However, no association was found between glycaemic control and adherence to OADs. CONCLUSION: The study findings support the growing concern of non-adherence to OADs among patients with T2DM in Saudi Arabia. Decision makers have to invest in behavioural interventions that will boost medication adherence rates. This is particularly important in patients with polypharmacy and high burden of comorbid conditions.

Completeness of adverse drug reactions reports of the Saudi adverse event reporting system.

OBJECTIVES: To assess completeness of reports in the Saudi Adverse Event Reporting System (SAERS), which is a part of the Saudi Food and Drug Authority pharmacovigilance system for monitoring the safety of medications. METHODS: A cross-sectional study was conducted in Riyadh, Saudi Arabia using the reports that were received between December 2009 and June 2012 in the SAERS. The completeness was assessed by reviewing the components of the adverse drug reactions (ADRs) form, and how many fields were completed. Descriptive statistics are reported. RESULT: There were 14,783 reports during the study period. Eighty percent of these reports were spontaneous reports. Information related to the drug (99%) and adverse events (98%) of the reports were completed. While the patient's demographic data were completed only in 38% of all reports, the least completed item in the ADRs form was the reporter information (15%). The most reported drug class was tumor necrosis factor inhibitors (7%), whereas events involving the respiratory organ system were the most frequently reported (4.5%). CONCLUSION: Although the SAERS is considered new, it has a high number of reports. More efforts are needed to improve the completeness of the SAERS to be a good source to assess the signals between events and suspected drugs, especially when there is a high number of reports.