Intravenous iron versus blood transfusion for postpartum anemia: a systematic review and meta-analysis

BACKGROUND

Intravenous iron (IV-iron) is used as an alternative to, or alongside, red blood cell transfusion (RBC-T) to treat more severe postpartum anemia (PPA), although optimal treatment options remain unclear. No previous systematic reviews have examined IV-iron and RBC-T, including patient-reported outcomes and hematological responses.

METHODS

A systematic review and meta-analysis of randomized trials comparing IV-iron and RBC-T with each other, oral iron, no treatment, and placebo for the treatment of PPA. Key inclusion criteria were PPA (hemoglobin < 12 g/dL) and IV-iron or RBC-T as interventions. Key exclusion criteria were antenatal IV-iron or RBC-T. Fatigue was the primary outcome. Secondary outcomes included hemoglobin and ferritin concentrations, and adverse events. From 27th August 2020 to 26th September 2022, databases, registries, and hand searches identified studies. A fixed-effect meta-analysis was undertaken using RevMan (5.4) software. The quality of the studies and the evidence was assessed using the Cochrane Risk of Bias table, and Grading of Recommendations, Assessment, Development, and Evaluation. This review is registered with the Prospective Register of Systematic Reviews (CRD42020201115).

RESULTS

Twenty studies and 4196 participants were included: 1834 assigned IV-iron, 1771 assigned oral iron, 330 assigned RBC-T, and 261 assigned non-intervention. Six studies reported the primary outcome of fatigue (1251 participants). Only studies of IV-iron vs. oral iron (15 studies) were available for meta-analysis. Of these, three reported on fatigue using different scales; two were available for meta-analysis. There was a significant reduction in fatigue with IV-iron compared to oral iron (standardized mean difference - 0.40, 95% confidence interval (CI) - 0.62, - 0.18, I2 = 0%). The direction of effect also favored IV-iron for hemoglobin (mean difference (MD) 0.54 g/dL, 95% confidence interval (CI) 0.47, 0.61, I2 = 91%), ferritin, (MD 58.07 mcg/L, 95% CI 55.74, 60.41, I2 = 99%), and total adverse events (risk-ratio 0.63, 95% CI 0.52, 0.77, I2 = 84%). The overall quality of the evidence was low-moderate.

DISCUSSION

For all outcomes, the evidence for RBC-T, compared to IV-iron, non-intervention, or dose effects of RBC-T is very limited. Further research is needed to determine whether RBC-T or IV-iron for the treatment of PPA is superior for fatigue and hematological outcomes.

Predictors and associated factors with adverse drug reaction in people with epilepsy

OBJECTIVES

There is a need for early identification and intervention of Adverse Drug Reaction (ADR) to alleviate the unacceptably growing burden, morbidity, and mortality associated with People With Epilepsy (PWE). This study is aimed at identifying associated factors and predictors of ADR among PWE.

METHODS

It is an interviewer-administered questionnaire-based study consisting of 940 consenting participants aged 16 years and above attending epilepsy clinics for 5 years with diagnosis confirmed by International League against Epilepsy (ILAE) criteria and supported by Electroencephalography (EEG). Twenty-one-item Liverpool Adverse Effect Profile (LAEP) and 8-item Morinsky Medication Adherence Scale (MMAS) were used to assess ADR and adherence respectively.

RESULTS

The highest reported ADR in PWE were nervousness (34.3%), aggression (33.6%), and weight gain (32.3%). Specifically, 20.1% of the participants complained of memory problems. On the other hand, ADR associated with skin, mouth/gum and hair loss was 9.3%, 8.9%, and 7.2% respectively, and these were the lowest reported ADRs. Using the MMAS, 545(90.2%), 28(4.6%), and 31(5.1%) of PWE in this study were classified as having high, medium, and low adherence, respectively. Duration of Anti-Seizure Medication (ASM) use and duration of epilepsy were the major determinants of ADR in PWE on the regression model.

CONCLUSION

Duration of ASM use and duration of epilepsy are the major determinants of ADR in PWE. Effective strategies to identify and reduce ADR should be incorporated into the management of PWE by Health Care Providers (HCPs) to improve their quality of life.

A Case Report of Cefixime, Paracetamol, and Nimesulide Induced Toxic Epidermal Necrolysis in a Woman with Dengue Infection without any Other Associated Comorbidities

BACKGROUND

Toxic Epidermal Necrolysis (TEN) is a rare, acute, and life-threatening mucocutaneous disease that occurs after the administration of certain drugs, resulting in extensive keratinocyte cell death, skin involvement at the dermal-epidermal junction, and extensive bullous skin eruptions and sloughing. Many published case reports have observed the presence of fever with a viral infection, drug, and/or genetic association as a possible trigger for TEN but associated with other comorbidities. Physicians still struggle to predict which individuals could be predisposed to TEN. The case report that we present had a history of multiple drug intake and fever due to dengue virus infection but was not associated with any other comorbidity.

CASE PRESENTATION

We present an unusual case of a 32-year-old woman of Western Indian origin who had developed dengue infection and suffered toxic epidermal necrolysis following a five-day course of a third-generation cephalosporin antibiotic, cefixime and a three-day course of 2 analgesic drugs, paracetamol (acetaminophen), and nimesulide, with the adverse event occurring on the fifth day of the dengue infection. The offending drugs were stopped, and patient survived with supportive management and hydration.

CONCLUSION

The presence of comorbidities may not always be the triggering factor for TEN, though it can affect patient outcomes. Rational drug use is always recommended for patient care. Further research is required to understand the pathomechanism behind the viral-drug-gene interaction.

The expanding role of HLA gene tests for predicting drug side effects

Adverse drug reactions can be either dose-dependent (Type A) or idiosyncratic (Type B). Type B adverse drug reactions tend to be extremely rare and difficult to predict. They are usually immune-mediated. Examples include severe skin reactions and drug-induced liver injury. For many commonly prescribed drugs (such as antibiotics), the risk of developing an idiosyncratic adverse drug reaction is influenced by variability in the human leukocyte antigen (HLA) genes. Because these HLA-mediated adverse drug reactions can be lethal, there is growing interest in defining which specific drug-gene relationships might benefit from pre-emptive HLA genotyping and automated clinical decision support. This review summarizes the literature for HLA-mediated adverse reactions linked to common drugs.

Chemotherapy-induced zosteriform lichen planus following mastectomy: A rare case report

INTRODUCTION

Zosteriform Lichen Planus represents a relatively uncommon variant of LP. It is characterized by a distinctive distribution following Blaschko's line and involving multiple dermatomes, setting it apart as a unique manifestation. There have been several cases of cutaneous LP reported, but relatively few of them presented as zosteriform LP. To our knowledge, this is the first documented case of zosteriform LP as an adverse drug reaction.

PRESENTATION OF CASE

A 62-year-old female presented to the dermatology clinic with asymptomatic hyperpigmented patches that exhibited gradual spreading. The patient had a history of breast cancer and underwent a mastectomy procedure, chemotherapy, adjuvant therapy, and radiation treatment. A dermatological examination revealed the presence of multiple hyperpigmented, ill-defined macules arranged linearly on the left flank and inner thigh.

DISCUSSION

A biopsy confirmed the diagnosis as Lichen Planus. The patient's condition significantly improved following a nine-week topical steroid with dose tapering.

CONCLUSION

Zosteriform LP is a rare adverse skin reaction associated with chemotherapeutic drugs. The immunosuppression induced by chemotherapy may trigger T-cell activation, leading to a lichenoid tissue reaction. A thorough patient history assessment is essential for the management of such adverse reactions.

Why Pharmacovigilance of Non-steroidal Anti-inflammatory Drugs is Important in India?

BACKGROUND

Non-steroidal Anti-Inflammatory Drugs (NSAIDs) are among the drugs that are most regularly administered to manage inflammation and pain. Over-the-Counter (OTC) NSAIDs are widely accessible, particularly in developing countries like India. This casual approach to using NSAIDs may operate as a magnet for NSAID-related adverse drug reactions (ADRs) among patients.

OBJECTIVES

As patients in India are less informed about the appropriate use of NSAIDs and consumption patttern, adverse drug reactions, and the importance of reporting ADRs, the current study's objective is to promote patient safety by using pharmacovigilance as a tool to educate patients.

METHODS

A targeted literature methodology was utilized to gather the data pertaining to NSAIDs, their ADRs and their pharmacovigilance. Different scientific databases, such as Science Direct, PubMed, Wiley Online Library, Springer, and Google Scholar, along with authentic textbooks, were explored as reference literature.

RESULTS

In general, NSAIDs consumption pattern depends upon the different age groups. Around 1.6 billion tablets of NSAIDs are consumed in India for ailments, such as headaches, arthritis, menstrual cramps, osteoarthritis, back pain, rheumatoid arthritis, gout, osteoporosis, tendinitis, cancer pain and chronic pain. Common ADRs of NSAIDs include nausea, vomiting, headache, gastritis, abdominal pain, and diarrhoea. Also, they can cause renal damage and cardiovascular problems if not consumed in a dose-dependent manner. However, Diclofenac and Ibuprofen have both been linked to depression and dementia. There have been reports of aplastic anaemia, agranulocytosis linked to phenylbutazone, Stevens-Johnson, and Lyell's syndrome linked to isoxicam and piroxicam, as well as the vulnerability of new-borns to Reye's syndrome after aspirin use. Lack of awareness, time constraints and unpredictability, poor training in ADRs identification, etc., are some of the reasons for the under-reporting of ADR of NSAIDs in India.

CONCLUSION

In order to rationally prescribe NSAIDs, it is essential to be aware of probable ADR's and establish prescription guidelines. Prescribers' behaviour can be changed toward excellent prescribing practices by conducting routine prescription assessments dealing with NSAIDs and providing feedback. In the near future, it will be critical to strengthen ADR data management and expand the reach of pharmacovigilance programs, ADR monitoring centers, and healthcare professionals' especially pharmacists' training in rural locations.

Acute kidney injury associated with colistin sulfate vs. polymyxin B sulfate therapy: A real-world, retrospective cohort study

OBJECTIVE

To compare the incidence of acute kidney injury (AKI) in patients treated with colistin sulfate (CS) and polymyxin B sulfate (PMB).

METHODS

Sociodemographic and laboratory measures of adult patients who received intravenous CS or PMB for at least 72 h for the first time at the study hospital from October 2021 to November 2022 were collected retrospectively. The primary outcome was the incidence of AKI, defined by the Kidney Diseases Improving Global Outcomes criteria. The secondary outcome was 30-day mortality.

RESULTS

In total, 109 patients were included in the CS cohort and 176 patients were included in the PMB cohort. The incidence of AKI was significantly higher in the PMB cohort compared with the CS cohort (50.6% vs. 18.3%; P<0.001). On multi-variate analysis, CS therapy [hazard ratio (HR) 0.275; P<0.001] was an independent protective factor for AKI, along with higher estimated glomerular filtration rate. Nevertheless, 30-day mortality was similar in the PMB and CS cohorts (21.6% vs. 13.8%; P=0.099). Multi-variate analyses revealed that CS therapy was not associated with 30-day mortality (HR 0.968; P=0.926), while intensive care unit admission, combination with meropenem, Charlson score and stage 3 AKI were independent risk factors for 30-day mortality. After balancing the baseline characteristics of patients using propensity score matching, the main results were unchanged.

CONCLUSION

The incidence of AKI was significantly lower in the CS cohort compared with the PMB cohort. However, 30-day mortality was similar in the two cohorts.

Amoxicillin Induced Fever, Rash, and Catatonia - A Case Study

INTRODUCTION

Adverse drug reactions (ADR) are defined as any harmful or unpleasant events or injuries resulting from the use of any particular drug. Among those antibiotics that cause adverse reactions, amoxicillin is one of them. Catatonia and vasculitic rash are its rare adverse effects.

CASE PRESENTATION

A 23-year-old postpartum female, with a history of taking empirical Amoxiclav (amoxicillin-clavulanic acid 625 mg) injection and oral tablets for episiotomy wound, presented with altered sensorium and fever followed by maculopapular rash. On examination, she had generalized rigidity with waxy flexibility that improved by lorazepam challenge and was diagnosed as catatonia. On evaluation, amoxicillin was found to be precipitating catatonia in this patient.

CONCLUSION

Since the diagnosis of catatonia is often missed, any cases with clinical presentation of fever, rash, altered sensorium, and generalized rigidity should also be suspected for druginduced ADR and the precipitating factor should be searched for.

Epidemiology of adverse drug reactions to antihypertensive, antithrombotic and antidiabetic medications among adult inpatients at a National Referral Hospital, Uganda

INTRODUCTION

Treatment for hypertension, thrombosis and type 2 diabetes mellitus is long term and usually requires a combination of drugs which increases the risk of adverse drug reactions (ADRs). This study aimed to establish the prevalence at admission, incidence during hospitalization and characteristics of ADRs linked to antihypertensive, antithrombotic and antidiabetic drugs among adult inpatients in Uganda.

METHODS

We conducted a secondary analysis of data from a previously assembled prospective cohort study in Uganda's Mulago National Referral Hospital. We reviewed the files of inpatients who received antihypertensive, antithrombotic and/or antidiabetic medications prior to and/or during hospitalization. The modified Schumock and Thornton Preventability Scale, the Division of AIDS Table for Grading the Severity of Adult and Paediatric Adverse Events and the World Health Organization - Uppsala Monitoring Centre seriousness criteria were used to characterize the ADRs.

RESULTS

More than a quarter (27%, 42/155) of the inpatients experienced an ADR at admission or during hospitalization. The point prevalence of ADRs at admission was 8% (13/155) and the incidence of ADRs during hospitalization was 23% (36/155). Forty-one percent (35/86) of the ADRs were serious and the majority (59%, 51/86) were preventable.

CONCLUSION

One in 13 inpatients experienced an ADR on admission and one in four experienced an ADR that developed during hospitalization. Clinicians ought to prescribe medicines with lower ADR risk profile for cardiovascular and/or diabetic patients whenever possible.

A Risk-Based Approach for Safety Case Follow-up of Adverse Event Reports in Pharmacovigilance

This study presents an analysis of follow-up attempts for adverse event (AE) reports, shedding light on the characteristics of a risk-based approach to Individual Case Safety Report (ICSR) follow-up by Marketing Authorization Holders (MAH). The analysis primarily focuses on Spontaneous Reports (SR), reports from Patient Support Programs (PSPs), and literature, utilizing data from safety reports sourced from the European Economic Area (EEA) during the pre-pandemic period. Through descriptive statistics, we examine response rates spanning 1 year and compare various types of cases based on distinct ICSR features, including serious vs non-serious, listed vs unlisted, suspected vs not-suspected, SR vs PSP vs literature, as well as comparisons between different product categories (innovator, biological, generics, and combinations). The objective of this report is to stimulate further dialogue within the industry and regulatory authorities regarding the adoption of a risk-based approach to ICSR follow-up procedures.

Predictive Model of Oxaliplatin-induced Liver Injury Based on Artificial Neural Network and Logistic Regression

Background and Aims

Identifying potential high-risk groups of oxaliplatin-induced liver injury (OILI) is valuable, but tools are lacking. So artificial neural network (ANN) and logistic regression (LR) models will be developed to predict the risk of OILI.

Methods

The medical information of patients treated with oxaliplatin between May and November 2016 at 10 hospitals was collected prospectively. We used the updated Roussel Uclaf causality assessment method (RUCAM) to identify cases of OILI and summarized the patient and medication characteristics. Furthermore, the ANN and LR models for predicting the risk of OILI were developed and evaluated.

Results

The incidence of OILI was 3.65%. The median RUCAM score with interquartile range was 6 (4, 9). The ANN model performed similarly to the LR model in sensitivity, specificity, and accuracy. In discrimination, the area under the curve of the ANN model was larger (0.920>0.833, p=0.019). In calibration, the ANN model was slightly improved. The important predictors of both models overlapped partially, including age, chemotherapy regimens and cycles, single and total dose of OXA, glucocorticoid drugs, and antihistamine drugs.

Conclusions

When the discriminative and calibration ability was given priority, the ANN model outperformed the LR model in predicting the risk of OILI. Other chemotherapy drugs in oxaliplatin-based chemotherapy regimens could have different degrees of impact on OILI. We suspected that OILI may be idiosyncratic, and chemotherapy dose factors may be weakly correlated. Decision making on prophylactic medications needs to be carefully considered, and the actual preventive effect needed to be supported by more evidence.

The correlation of Esketamine with specific adverse events: a deep dive into the FAERS database

Analyzing the vast data from FAERS database to evaluate the association between Esketamine and specific adverse events to guide clinical practice and regulatory decisions. Data related to Esketamine adverse events from 2019 Q1 to 2023 Q1 were collected from FAERS database. After data standardization, various signal quantification technologies, such as ROR, PRR, BCPNN, and MGPS, were employed to identify and evaluate adverse reaction signals closely related to the use of Esketamine comprehensively. A total of 5061 reports with Esketamine as the primary suspected drug were obtained, identifying 117 adverse reaction terms (PT) involving 27 system organ class (SOC) categories. Apart from the adverse events already mentioned in the drug's instructions, this study identified some new, clinically valuable potential AE signals, such as Flashback, Tachyphylaxis, and Autoscopy. In addition, high-ranking results included euphoric mood, feeling of relaxation, and feeling drunk. Notably, the occurrence frequencies of suicidal ideation and suicide attempt were relatively high, so clinicians should be particularly vigilant about these potential adverse reactions when using Esketamine. Moreover, since this drug is administered as a nasal spray, issues such as drug monitoring procedure incorrectly performed and nasal discomfort may arise. This study underscores the potential adverse reactions and risks of Esketamine in clinical applications, especially regarding long-term efficacy, addiction risks, and suicidal risks.

Machine learning models to detect and predict patient safety events using electronic health records: A systematic review

INTRODUCTION

Identifying patient safety events using electronic health records (EHRs) and automated machine learning-based detection methods can help improve the efficiency and quality of healthcare service provision.

OBJECTIVE

This study aimed to systematically review machine learning-based methods and techniques, as well as their results for patient safety event management using EHRs.

METHODS

We reviewed the studies that focused on machine learning techniques, including automatic prediction and detection of patient safety events and medical errors through EHR analysis to manage patient safety events. The data were collected by searching Scopus, PubMed (Medline), Web of Science, EMBASE, and IEEE Xplore databases.

RESULTS

After screening, 41 papers were reviewed. Support vector machine (SVM), random forest, conditional random field (CRF), and bidirectional long short-term memory with conditional random field (BiLSTM-CRF) algorithms were mostly applied to predict, identify, and classify patient safety events using EHRs; however, they had different performances. BiLSTM-CRF was employed in most of the studies to extract and identify concepts, e.g., adverse drug events (ADEs) and adverse drug reactions (ADRs), as well as relationships between drug and severity, drug and ADEs, drug and ADRs. Recurrent neural networks (RNN) and BiLSTM-CRF had the best results in detecting ADEs compared to other patient safety events. Linear classifiers and Naive Bayes (NB) had the highest performance for ADR detection. Logistic regression had the best results in detecting surgical site infections. According to the findings, the quality of articles has non-significantly improved in recent years, but they had low average scores.

CONCLUSIONS

Machine learning can be useful in automatic detection and prediction of patient safety events. However, most of these algorithms have not yet been externally validated or prospectively tested. Therefore, further studies are required to improve the performance of these automated systems.

Risk evaluation of diabetic ketoacidosis associated with antipsychotics among patients with schizophrenia in the Japanese adverse event report database

OBJECTIVE

Diabetic ketoacidosis (DKA) is a serious life-threatening condition and can be associated with antipsychotic medication. Asian patients with diabetes exhibit less insulin resistance than Caucasians; however, all previous studies concerning antipsychotic-related DKA have been conducted in Western populations. We analyzed the rank order of the association of antipsychotic agents for schizophrenia with DKA using the Japanese Adverse Drug Event Report database, a spontaneous reporting system database.

METHODS

We performed a retrospective pharmacovigilance disproportionality analysis using adverse event reports submitted to the Pharmaceuticals and Medical Devices Agency between April 2004 and March 2021. The study population comprised 7435 patients with schizophrenia, and the total number of antipsychotic-related DKA reports was 55.

RESULTS

Among the 55 cases of DKA in patients with schizophrenia, 6% (3/55) patients died after DKA. The signals of DKA were reported after treatment with olanzapine, with a significant adjusted reporting odds ratio (95% CI) of 3.26 (1.87-5.66). In 1399 olanzapine treatment cases, multivariable logistic regression analysis using a forward selection method showed that being male (adjusted RORs 2.72 (1.07-6.90)) was associated with the onset of DKA.

CONCLUSION

Our study revealed that treatment with olanzapine was associated with the development of DKA among patients with schizophrenia. The results also clarified that male patients were at higher risk for DKA among patients treated with olanzapine. The application of these data will aid in risk monitoring and management that may reduce the occurrence of antipsychotic-related DKA in treatment for schizophrenia.

Drug-related problems in hospitalized patients with type 2 diabetes mellitus: A systematic review

Introduction

Type 2 diabetes mellitus (T2DM) is one of the non-communicable diseases which continues to rise in prevalence and mortality rate throughout the years. Drug-related problems (DRPs) are more prevalent among T2DM patients especially those with co-morbidities.

Objective

The objective of this study was to review and assess the prevalence and characteristics of DRPs among hospitalized type 2 diabetes mellitus patients.

Methods

The systematic review of the literature was carried out using five online databases: PubMed, Scopus, Google Scholar, Web of Science, and Cochrane Library from the inception of the database until June 2022. Studies included in the review were published in English or Malay language. The data were extracted and assessed using the Joanna Briggs Institute (JBI) critical appraisal tools.

Results

A total of 939 studies were identified with 20 studies that met inclusion criteria and were included in this systematic review. The overall prevalence of DRPs in all 20 studies ranged from 7% to 94%. The most common DRPs included drug-drug interaction (DDI), adverse drug reaction (ADR), therapeutic effectiveness problems, and inappropriate medication use.

Conclusion

The most common drug classes involved were antidiabetics (metformin), antihypertensives, antiplatelets and antibiotics. The risk factors contributing to DRPs included the presence of comorbidities, the number of medications, and polypharmacy. To conclude, the rate of DRPs incidence in hospitalized T2DM patients was observed to be high. Further future studies with appropriate study designs and methods of detecting DRPs will be necessary to reduce and prevent DRPs occurrences.

Bilateral punctate keratitis and hurricane keratopathy following apremilast therapy

Purpose

To report a unique case of bilateral punctate keratitis consistent with hurricane keratopathy during apremilast therapy.

Observations

A 49-year-old female presented with severe, painful, bilateral, punctate keratitis following five months of apremilast therapy. The past ocular history was noncontributory. The past medical history included psoriasis refractory to topical corticosteroids. The patient subsequently received systemic apremilast therapy and noted improvement in her psoriatic rash. Five months later the patient presented to an outside eye care provider complaining of three weeks of progressive photophobia associated with pain and redness in both eyes. On examination, the patient had decreased visual acuity with diffuse conjunctival injection and punctate epithelial erosions in a whorl-like pattern in both eyes. The remainder of the ophthalmic exam was unremarkable. The patient was started on topical moxifloxacin drops, erythromycin ointment, and preservative free artificial tears, but did not improve. Apremilast was then discontinued and topical prednisolone was added once per day. Ten weeks after discontinuation of apremilast and topical steroid therapy, the patient had recovered normal vision with an intact and normal corneal epithelium.

Conclusions and Importance

This is the first case report of cornea epithelial keratitis resembling hurricane keratopathy associated with apremilast treatment and should be recognized as a possible side effect of therapy with this class of drug.

Risk of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis Associated With Antibiotic Use: A Case-Crossover Study

BACKGROUND

Evidence is lacking on the association between antibiotic use and risk of Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) in Asians.

OBJECTIVE

We assessed the risk of SJS/TEN associated with different antibiotic classes in Japanese.

METHODS

We conducted a case-crossover study using a claims database. Firth conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of SJS/TEN associated with antibiotic use in a 56-day hazard period versus 3 control periods. We created 18 cohorts for each antibiotic class and calculated 56-day cumulative incidence per 100,000 new users. The association between antibiotic class and SJS/TEN was also evaluated in each case using the ALgorithm of Drug causality for Epidermal Necrolysis (ALDEN).

RESULTS

Our case-crossover study included 170 SJS/TEN cases. Increased ORs were observed for lincomycins (OR, 33.00 [95% CI, 3.74-4332.05]), trimethoprim-sulfamethoxazole (21.20 [6.73-105.98]), penicillins (14.39 [6.95-34.21]), glycopeptides (14.37 [3.17-136.10]), cephalosporins (7.06 [4.25-12.21]), aminoglycosides (6.55 [1.97-26.84]), quinolones (5.98 [3.34-11.20]), fosfomycin (5.40 [1.20-30.97]), carbapenems (5.09 [1.85-15.64]), tetracyclines (4.95 [1.78-15.27]), and macrolides (3.78 [2.13-6.83]). Cumulative incidence of SJS/TEN was 67.4 for trimethoprim-sulfamethoxazole, 86.2 for glycopeptides, and below 10.0 for the others. Despite the high incidence, only 2 cases had a probable causal relationship with glycopeptides.

CONCLUSION

Some antibiotic classes, including lincomycins, glycopeptides, aminoglycosides, fosfomycin, and carbapenems, were newly suggested to be associated with risk of SJS/TEN; considered together with the high incidence for trimethoprim-sulfamethoxazole and glycopeptides, these findings warrant caution in clinical practice.

Structure-activity relationships andz interindividual variability of drug responses: pharmacogenomics with antimicrobial drugs as a paradigm

Adverse drug reactions represent a major health burden because they cause notable patient morbidity and mortality. From this viewpoint, several strategies have been developed to prevent or reduce adverse drug reactions. One such strategy is the use of pharmacogenomics. Interindividual variability in drug response and adverse effects is mainly attributable to genetic variation in enzymes such as sulfotransferases and cytochrome P450s. The current narrative review discusses the relationship between the structure and activity of drugs. Specifically, the activity of drugs can be increased and/or their adverse effects can be reduced by altering specific positions in their structures.

Clinical pharmacology facing the real-world setting: Pharmacovigilance, pharmacoepidemiology and the economic evaluation of drugs

Traditionally, clinical pharmacology has focused its activities on drug-organism interaction, from an individual or collective perspective. Drug efficacy assessment by performing randomized clinical trials and analysis of drug use in clinical practice by carrying out drug utilization studies have also been other areas of interest. From now on, Clinical pharmacology should move from the analysis of the drug-individual interaction to the analysis of the drug-individual-society interaction. It should also analyze the clinical and economic consequences of the use of drugs in the conditions of normal clinical practice, beyond clinical trials. The current exponential technological development that facilitates the analysis of real-life data offers us a golden opportunity to move to all these other areas of interest. This review describes the role that clinical pharmacology has played at the beginning and during the evolution of pharmacovigilance, pharmacoepidemiology and economic drug evaluations in Spain. In addition, the challenges that clinical pharmacology is going to face in the following years in these three areas are going to be outlined too.

Exercise-induced hematuria exacerbated by improper hydration, low RBC MCV and dapagliflozin use

BACKGROUND

Dapagliflozin is a reversible, highly potent, and selective Sodium-Glucose Co-Transporter-2 inhibitor indicated for the treatment of type 2 diabetes. It is generally well tolerated, with a low risk of hypoglycaemia and diabetic ketoacidosis.

CASE PRESENTATION

We report a new adverse effect of dapagliflozin in a form of a transient hematuria, presenting in a 54-years-old male patient with type 2 diabetes after exercise and insufficient hydration. The process of hematuria in the patient is strongly linked with initial period of treatment.

CONCLUSION

Dapagliflozin appears to have a rare adverse effect in the form of transient hematuria. Exercise, insufficient hydration, and low RBC MCV may play a role in such episodes.

Signal detection statistics of adverse drug events in hierarchical structure for matched case-control data

The tree-based scan statistic is a data mining method used to identify signals of adverse drug reactions in a database of spontaneous reporting systems. It is particularly beneficial when dealing with hierarchical data structures. One may use a retrospective case-control study design from spontaneous reporting systems (SRS) to investigate whether a specific adverse event of interest is associated with certain drugs. However, the existing Bernoulli model of the tree-based scan statistic may not be suitable as it fails to adequately account for dependencies within matched pairs. In this article, we propose signal detection statistics for matched case-control data based on McNemar's test, Wald test for conditional logistic regression, and the likelihood ratio test for a multinomial distribution. Through simulation studies, we demonstrate that our proposed methods outperform the existing approach in terms of the type I error rate, power, sensitivity, and false detection rate. To illustrate our proposed approach, we applied the three methods and the existing method to detect drug signals for dizziness-related adverse events related to antihypertensive drugs using the database of the Korea Adverse Event Reporting System.

Ondansetron induced blindness: a pharmacovigilance database study

BACKGROUND

Ondansetron is an antiemetic drug (AED) used to prevent and treat nausea and vomiting. The summary of product characteristics reports a rare risk of transient blindness primarily during IV injections, notably with the concomitant use of chemotherapeutic agents. We aimed to refine the characterization of ondansetron-induced blindness.

RESEARCH DESIGN AND METHODS

We performed a descriptive and a case/non-case analysis using VigiBase®. Cases were defined as reports of adverse drug reactions (ADRs) related to blindness: amaurosis, amaurosis fugax, blindness. Non-cases were all other recorded reactions. Reporting risk of blindness-related ADRs was assessed using a disproportionality analysis and expressed as Reporting Odds Ratios (ROR).

RESULTS

138,315 ADRs were reported with AEDs, including 136 blindness-related ADRs, among them 44 (32.4%) with ondansetron. For ondansetron users, blindness-related ADRs occurred mainly on the first day. Out of the 25 patients with known outcomes, 18 (72.0%) were recovering or had recovered, 7 (28.0%) patients had not recovered There were no statistical differences in the number of cases for IV or oral users and for users or not of chemotherapeutic agents. Compared with other AEDs, ondansetron was associated with an increase in the reporting risk of blindness-related ADRs (ROR = 4.00 [2.79-5.72], p < 0.001).

CONCLUSIONS

Rarely blindness can occur following intravenous or oral administration of ondansetron.