A case of adverse drug reaction induced by dispensing error

HCV spread among female incarcerated population and treatment pathways to viral elimination in Italian prison settings: clinical perspectives and medico legal aspects

Background

Hepatitis C virus (HCV) infection is more frequent among incarcerated people than in general population. In the DAAs era, the short schedules and the low risk of adverse reactions, increased the number of HCV treatments. However, the most part of literature reports lack of incarcerated women inclusion in studies on field. Our aim is to assess the screening execution, HCV prevalence, and DAAs treatment among incarcerated women. A focused insight on quick vs standard diagnosis and staging approach will be also provided.

Methods

Incarcerated women from 4 Italian regions’ penitentiary institutes were included. HCV screening was executed with HCV saliva test (QuickOral Test^®) or phlebotomy. Stage of liver fibrosis was evaluated with FIB-4 value or fibroscan^®, based on physicians’ decision. Treatment prescription followed national protocols.

Results

We included 156 women, 89 (57%) were Italian, mean age was 41 ± 10 years, and 28 (17.9%) were people who inject drugs (PWIDs). Overall, the HCV seroprevalence was 20.5%. Being PWID and on opioid substitution therapy (OST) were significantly associated with serological status (p-value < 0.001). Of them, the 75.5% of patients had active infection, the most frequent genotype was 3a (50%). Among them, 4 (16.6%) and 6 (25%) had psychosis or alcohol abuse history. The 62.5%, 25% and 12.5% had low, intermediate, and advanced fibrosis, respectively. Out of the 24 HCV-RNA positive patients, the 75% underwent to DAAs treatment. The sustained virological response (SVR12) was achieved in 88.8% of cases. When evaluating the influence of quick diagnosis and staging methods vs standard phlebotomy and fibroscan^® on SVR12, FIB-4 use showed higher performance for retainment in treatment during prison staying (p = 0.015), while the use of quick saliva test had no influence on the outcome (p = 0.22).

Conclusion

HCV seroprevalence and active infections are very high among incarcerated women. More tailored interventions should be focused on HCV diagnosis and treatment in female prison population. The use of quick staging methods (FIB-4) is useful to increase SVR12 achievement without delays caused by the fibroscan^® awaiting.

Big Data Management in Drug–Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare

The detection and classification of drug–drug interactions (DDI) from existing data are of high importance because recent reports show that DDIs are among the major causes of hospital-acquired conditions and readmissions and are also necessary for smart healthcare. Therefore, to avoid adverse drug interactions, it is necessary to have an up-to-date knowledge of DDIs. This knowledge could be extracted by applying text-processing techniques to the medical literature published in the form of ‘Big Data’ because, whenever a drug interaction is investigated, it is typically reported and published in healthcare and clinical pharmacology journals. However, it is crucial to automate the extraction of the interactions taking place between drugs because the medical literature is being published in immense volumes, and it is impossible for healthcare professionals to read and collect all of the investigated DDI reports from these Big Data. To avoid this time-consuming procedure, the Information Extraction (IE) and Relationship Extraction (RE) techniques that have been studied in depth in Natural Language Processing (NLP) could be very promising. Since 2011, a lot of research has been reported in this particular area, and there are many approaches that have been implemented that can also be applied to biomedical texts to extract DDI-related information. A benchmark corpus is also publicly available for the advancement of DDI extraction tasks. The current state-of-the-art implementations for extracting DDIs from biomedical texts has employed Support Vector Machines (SVM) or other machine learning methods that work on manually defined features and that might be the cause of the low precision and recall that have been achieved in this domain so far. Modern deep learning techniques have also been applied for the automatic extraction of DDIs from the scientific literature and have proven to be very promising for the advancement of DDI extraction tasks. As such, it is pertinent to investigate deep learning techniques for the extraction and classification of DDIs in order for them to be used in the smart healthcare domain. We proposed a deep neural network-based method (SEV-DDI: Severity-Drug–Drug Interaction) with some further-integrated units/layers to achieve higher precision and accuracy. After successfully outperforming other methods in the DDI classification task, we moved a step further and utilized the methods in a sentiment analysis task to investigate the severity of an interaction. The ability to determine the severity of a DDI will be very helpful for clinical decision support systems in making more accurate and informed decisions, ensuring the safety of the patients.

Data Recorded in Real Life Support the Safety of Nattokinase in Patients with Vascular Diseases

Nattokinase (NK) is a serine protease enzyme with fibrinolytic activity. Even if it could be used for the treatment of several diseases, no data have been published supporting its use patients who underwent vascular surgery. In this study, we evaluated both the efficacy and the safety of nattokinase (100 mg/day per os) in patients admitted to vascular surgery. Patients were of both sexes, >18 years of age, with vascular diseases (i.e., deep vein thrombosis, superficial vein thrombosis, venous insufficiency), and naïve to specific pharmacological treatments (anticoagulants or anti-platelets). Patients were divided into three groups. Group 1: patients with deep vein thrombosis, treated with fondaparinux plus nattokinase. Group 2: patients with phlebitis, treated with enoxaparin plus nattokinase. Group 3: patients with venous insufficiency after classical surgery, treated with nattokinase one day later. During the study, we enrolled 153 patients (age 22–92 years), 92 females (60.1%) and 61 males (39.9%;), and documented that nattokinase was able to improve the clinical symptoms (p < 0.01) without the development of adverse drug reactions or drug interactions. Among the enrolled patients, during follow-up, we did not record new cases of vascular diseases. Attention to patients’ clinical evolution, monitoring of the INR, and timely and frequent adjustment of dosages represent the cornerstones of the safety of care for patients administered fibrinolytic drugs as a single treatment or in pharmacological combination. Therefore, we can conclude that the use of nattokinase represents an efficient and safe treatment able to both prevent and treat patients with vascular diseases.

Recurrence of atrial fibrillation after switching from brand to generic atenolol

Beta blockers are the initial treatment for rate control of supraventricular tachyarrhythmia in patients without a history of myocardial infarction or left ventricular dysfunction. In this article we report the recurrence of atrial fibrillation after switching to the generic formulation of atenolol.

Skin rash during treatment with generic itraconazole

Generic drugs have the same active substance, the same pharmaceutical form, the same therapeutic indications and a similar bioequivalence with the reference medicinal product (branded). Although a similar efficacy is postulated, some cases of clinical inefficacy during treatment with generic formulations have been reported. In this case, we describe a woman with onychomycosis that developed a skin rash during treatment with a generic formulation of itraconazole. Drug administration and its re-challenge confirmed the association between itraconazole and skin rash. Both Naranjo probability scale and World Health Organization causality assessment scale documented a probable association between generic-itraconazole and skin rash. The switch from generic formulation to brand one induced an improvement of symptoms. Since we are unable to evaluate the role of each excipient in the development of skin rash, we cannot rule out their involvement. However, more data are necessary to better define the similarities or differences between branded and generic formulations.

Pharmacovigilance and drug safety in Calabria (Italy): 2012 adverse events analysis

INTRODUCTION

Pharmacovigilance (PV) is designed to monitor drugs continuously after their commercialization, assessing and improving their safety profile. The main objective is to increase the spontaneous reporting of adverse drug reactions (ADRs), in order to have a wide variety of information. The Italian Drug Agency (Agenzia Italiana del Farmaco [AIFA]) is financing several projects to increase reporting. In Calabria, a PV information center has been created in 2010.

MATERIALS AND METHODS

We obtained data using the database of the National Health Information System AIFA relatively to Italy and Calabria in the year 2012. Descriptive statistics were performed to analyze the ADRs.

RESULTS

A total number of 461 ADRs have been reported in the year 2012 with an increase of 234% compared with 2011 (138 reports). Hospital doctors are the main source of this reporting (51.62%). Sorafenib (Nexavar(®)), the combination of amoxicillin/clavulanic acid and ketoprofen represent the drugs most frequently reported causing adverse reactions. Adverse events in female patients (61.83%) were more frequently reported, whereas the age groups "41-65" (39.07%) and "over 65" (27.9%) were the most affected.

CONCLUSIONS

Calabria has had a positive increase in the number of ADRs reported, although it has not yet reached the gold standard set by World Health Organization (about 600 reports), the data have shown that PV culture is making inroads in this region and that PV projects stimulating and increasing PV knowledge are needed.

Safety and efficacy of generic drugs with respect to brand formulation

Generic drugs are equivalent to the brand formulation if they have the same active substance, the same pharmaceutical form and the same therapeutic indications and a similar bioequivalence respect to the reference medicinal product. The use of generic drugs is indicated from many countries in order to reduce medication price. However some points, such as bioequivalence and the role of excipients, may be clarified regarding the clinical efficacy and safety during the switch from brand to generic formulations. In conclusion, the use of generic drugs could be related with an increased days of disease (time to relapse) or might lead to a therapeutic failure; on the other hand, a higher drug concentration might expose patients to an increased risk of dose-dependent side-effects.