Introduction: Chagas disease (CD) is a worldwide problem, with over 8 million people infected in both rural and urban areas. CD was first described over a century ago, but only two drugs are currently available for CD treatment, benznidazole (BZN) and nifurtimox (NF). Treating CD infected patients, especially children and women of reproductive age, is vital in order to prevent long term sequelae such as heart and gastrointestinal disfunction, but this aim is still far from being accomplished. Currently, the strongest data to support benefit-risk considerations come from trials in children. Finally, treatment response biomarkers need further development as serology is being questioned as the best method to assess treatment response. Areas covered: This article is a narrative review on the pharmacology of drugs for CD, particularly BZN and NF. Data on drug biopharmaceutical characteristics, safety and efficacy of both drugs are summarized from a clinical perspective. Current data on alternative compounds under evaluation for CD treatment, and new possible treatment response biomarkers are also discussed. Conclusion: Early diagnosis and treatment of CD, especially in pediatric patients, is vital for an effective and safe use of the available drugs (i.e. BZN and NF). New biomarkers for CD are urgently needed for the diagnosis and evaluation of treatment efficacy, and to guide efforts from academia and pharmaceutical companies to accelerate the process of new drugs development.

Aims Theophylline clearance in patients with chronic liver diseases (CLDs), chronic hepatitis (CH) and liver cirrhosis (LC), was evaluated by population pharmacokinetic (PPK) analysis. Methods PPK analysis included 433 minimum steady-state concentrations from 192 Japanese bronchial asthma patients and was performed using NONMEM. The severity of LC was assessed by the Child-Pugh (CP) class and model for end-stage liver disease (MELD) score. Results Two final models (CP and MELD models) were obtained, and described apparent theophylline clearance (CL/F) as follows: CP model: CL/F=0.0473×0.874CH×0.697CPA×0.592CPB×0.441CPC, MELD model: CL/F=0.0472×0.876CH×0.687MELD < 10×0.568MELD 10-14×0.487MELD 15-19×0.417MELD 20-24×0.328MELD ≥ 25. The CP model showed that mean CL/F in patients without CLDs, and with CH, and LC with CP class A, B, and C was 0.0473, 0.0413, 0.0330, 0.0280, and 0.0209 L/h kg-1, respectively. The MELD model predicted that CL/F in patients without CLDs, and with CH, and LC with a MELD score of < 10, 10-14, 15-19, 20-24, and ≥ 25 was 0.0472, 0.0413, 0.0324, 0.0268, 0.0230, 0.0197, and 0.0155 L/h kg-1, respectively. Conclusions CL/F in various stages of LC was evaluated and a change in CL/F was highly dependent on the severity of CLDs in both models. The MELD model classified LC into 5 categories, and subdivided CP class C patients into 3 further categories. The MELD model provided a more accurate and precise description of CL/F than the CP model, particularly in high-severity LC patients.

Background: 64 million pharmacy filled multicompartment medication compliance aids (MCAs) are dispensed by pharmacies in England each year as a method to improve medication adherence. Despite the widespread use of MCAs and evidence that their use may be associated with harm there is no national consensus regarding MCA provision by acute hospital Trusts in England. Aim: To determine current practice for initiation and supply of MCAs in acute hospital Trusts in England and the potential consequences for patients and hospitals. Methods: A 26 item survey was distributed to all acute hospital Trusts in England. The questionnaire covered policy, initiation, supply and review of MCAs; alternatives offered; and pharmacy staffing and capacity related to MCAs. Results: 72 out of 138 (52%) Trusts responded to the survey. 60/70 (86%) had a policy for the provision of MCAs. 33/55 (60%) that supplied MCAs on discharge supplied a different prescription length for MCA vs. non-MCA prescriptions. 49/55 (89%) Trusts provided only one brand of MCA. 47/55 (85%) MCA-supplying Trusts identified frequent difficulties with MCAs and 13/55 (24%) reported employing staff specifically to complete MCAs. 30/35 (86%) MCA-initiating Trusts had an assessment process for initiation, with care agency request as the most common reason. Conclusion: There is a lack of a national approach to MCA provision and initiation by acute hospital Trusts in England. This leads to significant variation in care and has the potential to put MCA users at an increased risk of medication related harm.

Olanzapine pamoate is an intramuscular depot injection for the treatment of schizophrenia. Approximately 1.4% of patients develop a serious adverse event called Post Injection Delirium/Sedation Syndrome (PDSS); characterised by drowsiness, anticholinergic and extrapyramidal symptoms. The objective is to investigate olanzapine PDSS presentations including clinical features and treatment approach. This is a retrospective review of olanzapine PDSS patients from three toxicology units and the NSW Poisons Information between 2017 and 2022. Adult patients were included if they had intramuscular olanzapine then developed PDSS criteria. Clinical symptoms, treatment, timing and length of symptoms were extracted into a preformatted Excel database. There were 18 patients included in the series, with a median age of 49 years (IQR: 38-58) and male predominance (89%). Median onset time post injection was 30 minutes (IQR: 11-38). PDSS symptoms predominate with drowsiness, confusion and dysarthria. Median length of symptoms was 24 hours (IQR: 20-54). Most common treatment included supportive care without any pharmacological intervention (n=10), benzodiazepine (n=4) and benztropine (n=3). In one case, bromocriptine and physostigmine followed by oral rivastigmine were given to manage anti-dopaminergic and anti-cholinergic symptoms respectively. This proposed treatment combination could alleviate some of the symptoms. In conclusion, this case series supports the characterisation of PDSS symptomology predominantly being anti-cholinergic with similar onset (<1 hour) and duration (<72hours). A combination of bromocriptine and physostigmine followed by rivastigmine is proposed to manage PDSS if patients develop severe dopamine blockade or anti-cholinergic delirium.

Aims: The investigation regarding the clinical significance of programmed cell death protein-1 (PD-1)-targeted immunotherapy in Chinese patients is rare. This study evaluated safety and efficacy of PD-1 with Toripalimab, Camrelizumab or Sintilimab for Chinese Hepatocellular carcinoma (HCC) patients in a real-life cohort. Methods: We retrospectively analyzed HBV associated HCC patients treated with Toripalimab, Camrelizumab or Sintilimab in a retrospective cohort from Nov 2018 to Dec 2019. Efficacy was evaluated with objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), time to tumor progression (TTP) and overall survival (OS). Results: Seventy eight patients were finally included in the analysis: 26 for Toripalimab, 36 for Camrelizumab, and 16 for Sintilimab. Mean duration of follow-up was 22.7 ± 12.6 weeks and the mean Cycles of PD-1 at cut-off were 4.8 ± 2.7 for all patients. The ORR and DCR for the whole cohort were 17.9% and 73.1%, respectively. Overall, 21 (26.9%) patients had radiological disease progression and 6 (7.7%) patients died during follow-up. Median PFS was 40.7 (95% CI, 34.7-46.7) weeks, median TTP was 45.7 (95% CI, 40.5-60.0) weeks, and median OS was 51.1 (95% CI, 46.4-55.9) weeks. Most frequent drug-related AEs were Rash (19.2%), Hypertension (15.4%), Fatigue (12.8%), Paraesthesia (12.8%), and Diarrhoea (10.3%). Conclusions: Our findings suggest that: 1. PD-1-targeted immunotherapy with Toripalimab, Camrelizumab or Sintilimab yielded a promising outcome in Chinese HBV patients with HCC; 2. Immunotherapy was well tolerated generally and had manageable side effects, which is worth of popularization and application in clinical practice.

Aim: To identify older patients’ risk factors for drug-related readmissions and assess the preventability of older patients’ drug-related revisits. Methods: Post-hoc analysis of a randomised clinical trial with patients aged ≥ 65 years at eight wards within four hospitals in Sweden. The primary outcome used to identify risk factors was drug-related readmission within 12 months post-discharge. A Cox proportional hazards model was made with sociodemographic and clinical baseline characteristics. Four hundred trial participants were randomly selected and their revisits (admissions and emergency department visits) were assessed to identify potentially preventable drug-related revisits, related diseases and causes. Results: Among 2,637 patients (median age (interquartile range) 81 (74–87) years), 582 (22%) experienced a drug-related readmission within 12 months. Sixteen risk factors (hazard ratio > 1, p < 0.05) related to age, previous hospital visits, medication use, multimorbidity and cardiovascular, liver, lung and peptic ulcer disease were identified. The 400 patients experienced a total of 522 hospital revisits, of which 85 (16%) were potentially preventable drug-related revisits. The two most prevalent diseases and causes related to preventable revisits were heart failure (n=24, 28%) and chronic obstructive pulmonary disease (n=13, 15%), and inadequate treatment (n=23, 27%) and insufficient or no follow-up (n=22, 26%). Conclusion: Risk factors for drug-related readmissions in older hospitalised patients were age, previous hospital visits, medication use and multiple diseases. Potentially preventable drug-related hospital revisits are common and might be prevented through adequate medication use and follow-up in older patients with cardiovascular or lung disease.

Aims: Thrombocytopoenia is a common major side-effect of cytotoxic cancer therapies. A clinically relevant problem is to predict an individual’s thrombotoxicity in the next planned chemotherapy cycle in order to decide on treatment adaptation. To support this task, two dynamical mathematical models of thrombopoiesis under chemotherapy were proposed, a simple semi-mechanistic model and a comprehensive mechanistic model. In this study, we compare the performance of these models. Methods: We consider close-meshed individual time series data of 135 non-Hodgkin’s lymphoma patients treated with six cycles of CHOP/CHOEP chemotherapies. Individual parameter estimates were derived on the basis of these data considering a varying number of cycles per patient. Parsimony assumptions were applied to optimize parameter identifiability. Models are compared by determining deviations of predicted and observed degrees of thrombocytopoenia in the next cycles. Results: The mechanistic model results in superior fits of individual time series data. Moreover, prediction accuracy of future cycle toxicities by the mechanistic model is higher even if it used data of two cycles, while the semi-mechanistic model used data of five cycles for the corresponding calibrations. Conclusions: We successfully established a quantitative and clinically relevant method for comparing prediction performance of biomathematical models of thrombopoiesis under chemotherapy. We showed that the more comprehensive mechanistic model outperforms the semi-mechanistic model. We aim at implementing the mechanistic model into clinical practice to assess its utility in real life clinical decision making

Dear editor,Given time, drug discovery programmes will undoubtedly yield highly potent drugs to form the basis of optimised COVID-19 regimens. However, if efficacious therapies can be identified from current medicines, repurposing represents the fastest route to establish deployable interventions and buy time for vaccine and novel drug development. It is important to note that effective medicines were rigorously optimised for the treatment of specific indications. Route of administration, dosage and schedules for existing therapies were optimised to provide adequate plasma/tissue pharmacokinetics and safety for their target disease or condition. These cannot be assumed to be optimal for COVID-19 but are often highly predictable from pre-existing data and clinical experience. For example, hydroxychloroquine and lopinavir/ritonavir recently failed to deliver benefits in RCTs for mild/moderate and severe disease,1, 2 but the clear disconnect between reportedin vitro antiviral activity and known human pharmacokinetics after administration of approved doses was predictable.3Interpretation of laboratory-based antiviral activity assessments is complicated by current uncertainty regarding the appropriateness of the existing model systems. The majority of in vitro antiviral screening assays have utilised Vero cells, which were derived from the kidney of African Green Monkey in the 1970s, and the lack of clinical evidence for which to validate the exposure-response relationship in humans is problematic. Evidence is emerging that the anti-SARS-CoV-2 activity of drugs may be higher in cells derived from humans. However, the question of which cell types are most representative of in vivo performance is yet to be addressed, and all that can really be concluded from current knowledge is that the susceptibility of SARS-CoV-2 to antivirals is cell-type-dependent. The consequences of this in terms of the variety of cell types known to be infected and/or sustain productive infection in vivo is equally uncertain, and further exacerbated by the lack of robustly validated animal models. However, repurposed drugs cannot be assumed to be active against SARS-CoV-2 at a dose that was optimised on the basis of potency for and accumulation at their initial therapeutic target.Nucleoside/nucleotide polymerase inhibitors have proven highly successful for other viruses, but usually require combination with another drug class. Remdesivir and favipiravir have in vitro anti-SARS-CoV-2 activity across multiple studies, and the unprecedented speed at which they have transitioned through COVID-19 RCTs can only be commended.4, 5, 6 Daily IV infusion may make inherent sense for severely ill patients, but a transformational impact for COVID-19 can only be realised if wide compatibility with global healthcare systems and equitable access across all country contexts is achieved. While reduction in symptom duration may mitigate healthcare saturation in high-income countries, the absence of a clear benefit for mortality diminishes game-changing potential. However, the clinical validation of the antiviral activity of such drugs will make them clear candidates for implementation as part of community-based interventions if other challenges are addressed. Importantly, the combination of nucleoside analogues with a secondary target such as the protease has stood the test of time in antiviral pharmacology. The recent reports of low-dose dexamethasone leading to an impact on mortality7 is a significant step forward but long-term mitigation of viral transmission, with subsequent economic and social restrictions, requires antiviral treatment or prevention to minimise hospitalisation through a community-targeted approach.Focussing on existing single drugs, and not appropriately formulated medicines, will require the rethinking of a number of medicine development parameters such as posology, reformulation and therapeutic index (Figure 1); current HIV medicines, for example, are formulated for chronic (life-long) dosing to moderate and control disease but a successful COVID-19 therapy will likely require only a short term acute administration to rapidly cure the patient. Conversely, different considerations are required for longer-term applications in COVID-19 chemoprophylaxis, which could have a dramatic effect on control of the pandemic.Many advanced drug delivery technologies have emerged in recent years. Long-acting drug delivery involving injectable, implantable or microarray patch mediated delivery have attracted enormous recent interest for prevention of other infectious diseases,8, 9 and the ability to deliver potent antiviral combinations for a period of months could play a transformational role in the absence of a safe and efficacious vaccine. The physicochemistry and activity of the polymerase inhibitors, and other drugs with known anti SARS-Cov-2 activity, also warrants investigation of pulmonary delivery via nebuliser or metered dose inhaler for direct dosing to the upper airways to supplement systemic drug delivery as pre- or post-exposure prophylaxis. Several advanced drug delivery strategies can be applied rapidly and do not need to be prohibitively expensive for global community programmes. It seems unlikely that a global pandemic can be ended if effective medicines are only available to the few and equitable access is therefore of benefit to all. Importantly, relying solely upon pre-existing formulations and posologies optimised for other diseases carries inherent risk of rejecting drug candidates with an otherwise high potential for global impact.

Abstract Objective To compare the Liverpool Causality Assessment Tool versus Naranjo Scale for screening suspected adverse drug reaction (ADR) cases. Methods We retrospectively reviewed patient charts with a history of suspected ADR, scored using both instruments and determined how each correlates with laboratory and other investigations. 924 charts from the Clinical Pharmacology Clinic at the London Health Sciences Centre were reviewed and 529 charts contained objective findings to support or against the diagnosis of ADR. The participant age ranged from 1 month old to 93 years. We determined the sensitivity and specificity of Liverpool and Naranjo tools for predicting ADRs with scores ranging from “Possible” to “Definite” were considered positive and “Unlikely/Doubtful” as negative for ADR. These results were confirmed by laboratory or clinical (re-challenge) testing in 529 cases. Results Liverpool causality tool had sensitivity (SN) of 97.2% ± 2.4% and specificity (SP) of 2.3% ± 1.57%. The positive (PPV) and negative predictive values (NPV) were 34.1% and 61.5%, respectively. The Naranjo scale had SN of 81.2% ± 5.69% and SP of 13.2% ± 3.56%. PPV and NPV were 32.7% and 57.5%, respectively. Conclusions The Liverpool Causality Assessment Tool is a more sensitive tool than the Naranjo Scale in the assessment of possible ADRs but both tools have poor specificity. The Liverpool Tool can be a useful screening tool in settings where other tests may not be readily available. However the low PPV and NPV of both instruments suggests pursue further testing is needed to confirm or deny an ADR.

Background: TMS-007, an SMTP family member, modulates plasminogen conformation and enhances plasminogen-fibrin binding, leading to promotion of endogenous fibrinolysis. Its anti-inflammatory action mediated by soluble epoxide hydrolase inhibition contributes to the efficacy. Evidence suggests that TMS-007 can effectively treat experimental thrombotic and embolic strokes with a wide time window while reducing hemorrhagic transformation. Aims: To evaluate the safety, pharmacokinetics, and pharmacodynamics of TMS-007 in healthy volunteers. Methods: A randomized, placebo-controlled, double blind, dose-escalation study, administered as a single intravenous infusion of TMS-007 in cohorts of healthy male Japanese subjects. There were 6 cohorts planned, but 5 were completed. In each cohort (n = 8), individuals were randomized to receive one of 5 doses of TMS-007 (3, 15, 60, 180, or 360 mg; n = 6) or placebo (n = 2). Results: TMS-007 was generally well-tolerated, and no serious adverse events attributed to the drug. A linear dose-dependency was observed for plasma TMS-007 levels. No symptoms of bleeding were observed in brain MRI analysis, and no bleeding-related responses in laboratory testing were found. The plasma levels of the coagulation factor fibrinogen and the anti-fibrinolysis factor 2-antiplasmin levels were unchanged after the TMS-007 dosing. A slight increase in the plasma level of plasmin-α2-antiplasmin complex, an index of plasmin formation, was observed in some subjects who received 360 mg of TMS-007 (≈ 6 mg kg−1). Conclusions: TMS-007 is generally well-tolerated and exhibits favorable pharmacokinetic profiles that warrant further clinical development.

Timely intravenous (IV) to oral antimicrobial switch (IV-oral-switch) is a key antimicrobial stewardship (AMS) strategy. A retrospective audit was undertaken to determine concordance with IV-oral-switch guidelines in the context of a long-standing, tightly regulated AMS program. Data from 107 general medical and surgical patients in an Australian hospital were analysed. Median duration of IV antimicrobial courses before switching to oral therapy was 3 days (interquartile range, 2.25-5.00). Timely IV-oral-switch occurred in 57% (n=61) of patients. The median delay to switching was 0 days (IQR 0 to 1.25). In most courses (92/106, 86.8%), the choice of oral alternative after switching was appropriate. In 45% (47/105) of courses, total duration of therapy (IV plus oral) exceeded the recommended duration by >1.0 day. Excessive IV antimicrobial duration was uncommon at a hospital with a tightly regulated AMS program. Total duration of therapy was identified as an AMS target for improvement.

Aim To evaluate the number and nature of reported congenital malformations (CMs) after intrauterine exposure to non-tumour necrosis factor inhibitors (non-TNFis) compared to certolizumab pegol (CZP) Material and methods A retrospective comparative study was conducted in the EudraVigilance (EV) database. EV is a pharmacovigilance database, which can be used for detecting safety signals and generating hypotheses on possible relations between drugs and adverse events. A supposedly safe biologic (CZP) was considered as the reference group. Pregnancy-reports of non-TNFis and CZP were extracted. Odds ratios (ORs) for CMs were calculated for each non-TNFi, versus CZP (quantitative assessment). Then, CM patterns were compared to CZP in consultation with a clinical geneticist (qualitative assessment). Results ORs were not statistically significant except for belimumab and vedolizumab (similar in magnitude). Although qualitative analyses did not show any specific patterns for belimumab but three cases of corpus callosum agenesis (CCA) were identified for vedolizumab (versus null in CZP and other investigated non-TNFis). Two of the CCA cases were associated with other neurological CMs (one cerebral ventriculomegaly with microcephaly and one polymicrogyria). This may indicate that these CCAs are related to undiagnosed genetic alterations or are associated with the underlying maternal disease, although a definite relationship with vedolizumab exposure cannot be ruled out. Conclusion No special safety signal was identified regarding the occurrence of CMs after exposure to non-TNFis, except for vedolizumab. Based on available information, no firm conclusions can be made regarding observed CCAs in the vedolizumab group (it warrants further research)

Quantitative systems pharmacology (QSP) is a relatively new discipline within modelling and simulation that has gained wide attention over the past few years. The application of QSP models spans drug-target identification and validation, through all drug development phases as well as clinical applications. Due to their detailed mechanistic nature, QSP models are capable of extrapolating knowledge to predict outcomes in scenarios that have not been tested experimentally making them an important resource in experimental and clinical pharmacology. However, these models are complicated to work with due to their size and inherent complexity. This makes many applications of QSP models for simulation, parameter estimation and trial design computationally intractable. A number of techniques have been developed to simplify QSP models into smaller models that are more amenable to further analyses while retaining their accurate predictive capabilities. Different simplification techniques have different strengths and weaknesses and hence different utilities. Understanding the utilities of different methods is essential for selection of the best method for a particular situation. In this paper, we have created an overall framework for model simplification techniques that allows a natural categorisation of methods based on their utility. We provide a brief description of the concept underpinning the different methods and example applications. A summary of the utilities of methods is intended provide a guide to modellers in their model endeavours to simplify these complicated models.

AIMS Doxorubicin-induced cardiotoxicity (DIC) is a significant cause of mortality in cancer care. This study was conducted to establish the frequency of DIC in Zimbabwean breast cancer patients on doxorubicin and to test the DIC predictive power of genetic biomarkers. METHODS A cohort of 50 Zimbabwean breast cancer patients treated with doxorubicin were followed up for 12 months with serial echocardiography and genotyped for UGTA1A6*4, SLC28A3 and RARG. 11% of the patients experienced DIC. RESULTS The frequency of SLC28A3 (rs7853758), UGT1A6*4 (rs17863783) and RARG (rs2229774) was 60.7%, 17.9% and 14.3% respectively. No association between DIC and the three variants was observed. CONCLUSIONS This is the first study on the prevalence of DIC and associated genetic biomarker predictive evaluation in Zimbabwean breast cancer patients. The genetic frequencies observed in our study was different to that reported in other populations. A larger sample size with a longer follow up time will be necessary in future studies.

Aim Patients on anti-tuberculosis (anti-TB) therapy are at risk of drug-induced liver injury (DILI). MicroRNA-122 (miR-122) and cytokeratin-18 (K18) are exploratory DILI biomarkers. To explore their utility in this global context, circulating miR-122 and K18 concentrations were measured in UK and Ugandan populations on anti-TB therapy for mycobacterial infection. Methods European patients receiving anti-TB therapy were recruited at the Royal Infirmary of Edinburgh, UK (ALISTER-ClinicalTrials.gov Identifier: NCT03211208). African patients with HIV-TB coinfection, receiving anti-TB and anti-retroviral therapy (ART), were recruited at the Infectious Diseases Institute, Kampala, Uganda (SAEFRIF-NCT03982277). Serial blood samples, demographic and clinical data were collected. MiR-122 was quantified using PCR. K18 was quantified using the M65 ELISA. Results The study had 235 participants (healthy volunteers (n=28); ALISTER: active TB (n=30), latent TB (n=88), non-tuberculous mycobacterial infection (n=25); SAEFRIF: HIV-TB coinfection (n=64)). In the absence of DILI, there was no difference in miR-122 and K18 across the groups. Both miR-122 and K18 correlated with alanine transaminase activity (ALT) (miR-122: r=0.52, 95%CI=0.42-0.61, P<0.0001. K18: r=0.42, 95%CI=0.34-0.49, P<0.0001). There were two DILI cases: baseline ALT was 18 and 28 IU/L, peak ALT 431 and 194 IU/L; baseline K18 58 and 219 U/L, peak K18 1247 and 3490 U/L; baseline miR-122 4 and 17 fM, peak miR-122 60 and 336 fM, respectively. Conclusion In European and African patients treated with anti-TB therapy miR-122 and K18 correlated with ALT and increased with DILI. Further work should determine the diagnostic and prognostic utility of miR-122 and K18 in this global context-of-use.

Aim: The placebo effect and the specific effect are often thought to add up (additive model). Whether this is true or whether there is an interaction between the two, can modify the external validity of a trial. This assumption of additivity was tested by Kleijnen et al. in 1994 but the data produced since then has not been synthetized. In this review, we aimed to systematically review the literature to determine whether additivity held. Methods: We searched Medline and Psychinfo up to 10/01/2019. Studies using the balanced placebo design (BPD), testing two different strengths of placebos, were included. The presence of interaction was evaluated by comparing each group in BPD with analysis of variance or covariance. Results: 30 studies were included and the overall risk of bias was high: four found evidence of additivity and 16 studies found evidence of interaction (seven had evidence of positive additivity). Conclusion: Evidence of additivity between placebo and specific features of treatments was rare in our sample. For ailments that are placebo-responsive, pragmatic trials should be preferred to increase their external validity.

Aim: Residual neuromuscular blockade is a common complication after general anaesthesia. Sugammadex can reverse the action of aminosteroid neuromuscular blockers. Our study aimed to explore sugammadex safety issues in the real world and determine the spectrum of adverse reactions. Methods: All sugammadex-related adverse events reported in VigiBase between 2010 and 2019 were classified by group queries according to the Medical Dictionary for Regulatory Activities. A disproportionality analysis of data was performed using the information component (IC); positive IC values were deemed significant. Results: Overall, 16,219,410 adverse events were reported, and 2032 were associated with sugammadex. The most frequent reactions were recurrence of neuromuscular blockade (n = 54, IC: 6.74, 95% credibility interval [CI]: 6.33–7.10), laryngospasm (n = 53, IC: 6.05, IC025:5.64), bronchospasm (n = 119, IC: 5.63 , IC025:5.36), and bradycardia (n = 169, IC: 5.13, IC025:4.90). Fatal cases were more likely with cardiac disorders, especially in patients over 65 years. In addition, the common adverse drug reactions (ADRs) differed between different age groups (P < 0.01). The ADRs were higher between 0–17 years than in other age groups. The onset time of common ADRs was typically within one day, and 68.9% occurred within half an hour after sugammadex administration. Conclusions: Anaesthesiologists should carefully monitor the anaesthesia recovery period to correct the adverse drug reactions caused by sugammadex and recommend monitoring neuromuscular function throughout the anaesthesia process. Sugammadex should be used carefully in patients with cardiovascular diseases, and ECG and hemodynamic changes monitored after medication.

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