Literature DB >> 33635496

Adverse drug reactions in SARS-CoV-2 hospitalised patients: a case-series with a focus on drug-drug interactions-reply.

Giada Crescioli1,2, Cecilia Lanzi3, Guido Mannaioni1,3, Alfredo Vannacci1,2, Niccolò Lombardi4,5,6.   

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Year:  2021        PMID: 33635496      PMCID: PMC7908935          DOI: 10.1007/s11739-021-02677-0

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   3.397


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Dear Editor, We read with great interest the comment written by Pardo-Cabello and colleagues [1], replying to our original article entitled “Adverse drug reactions in SARS‑COV‑2 hospitalised patients: a case series with a focus on drug–drug interactions” [2] and we would like to make some comments regarding their considerations. As the authors correctly point out, data on the overall number of patients hospitalised for COVID-19 during the study period were not available at the time of writing. For this reason, only those patients for whom a pharmacological and toxicological counselling was requested by clinicians working in COVID-19 Units were considered. Of course, knowing the overall number of patients treated, and consequently, the prevalence rate of adverse drug reactions, could improve the assessment of burden due to pharmacological treatments in COVID-19 inpatients. Currently, we are able to retrieve the total number of patients hospitalised in the COVID-19 Units during the different phases of the SARS-CoV-2 pandemic, from the last Smart Consensus Conference organised by Careggi University Hospital, Florence (Italy) available online [3]. In particular, during the first wave (I semester 2020), a total of 472 patients were hospitalised, with a mean age of 72 years and an average hospital stay of 14.2 days. Of them, 27% (n = 127) were managed in the intensive care units, with an overall mortality of 25.6% (mean age of 77 years) [3]. Considering that all cases (n = 23) reported in our original article were critically ill patients, managed in the intensive care units, the overall prevalence of adverse drug reactions was 18.1% (23/127). Instead, considering the total number of patients, including those not hospitalised in intensive care units, the prevalence of adverse drug reactions was 5% (23/472), which can be considered relevant as well from a clinical point of view during a pandemic emergency. Considering our study, we would like to underline four relevant aspects: (1) adverse drug reactions occurred in highly critically ill patients; (2) they all required pharmaco-toxicological consultation; (3) during the pharmaco-toxicological consultation, the drugs responsible for these adverse reactions and the underlying drug–drug interactions were identified; (4) the adverse drug reactions coincided with the effects of the drug–drug interactions. Therefore, the fact that a pharmaco-toxicological consultation was necessary to deal with adverse drug reactions and that drug–drug interactions were identified, both in the clinical toxicology evaluation phase and in the data analysis phase (through the application of the respective tools), makes these interactions real and not potential. These evidences are further strengthened by data registered during the second wave (II semester 2020) of SARS-CoV-2 pandemic. In fact, during this phase, a total of 473 patients were hospitalised, with a mean age of 67 years and an average hospital stay of 9.1 days. Of them, 19% (n = 90) were managed in intensive care units, with an overall mortality of 15.6% (mean age of 82 years) [3]. Noteworthy, likely due to an increased knowledge of the disease, better management and more appropriate use of drugs, no pharmaco-toxicological consultations were required during this phase. In addition, the use of drugs responsible for the majority of drug–drug interactions observed in our sample during the first phase, in particular, hydroxychloroquine and antivirals, was suspended by the Italian Medicines Agency on May 29th, 2020 [4]. In conclusion, we strongly agree with the last consideration reported by Pardo-Cabello and colleagues concerning the limitation of Naranjo’s scale in the assessment of causal relationship between the suspected drugs and adverse reactions, particularly in case of patient’s death. Pharmacovigilance specialists and the other healthcare professionals should always take into consideration all clinical covariates and risk factors of each patient, and this was done in our case, during the pharmaco-toxicological consultation. Nevertheless, for a better general understanding and a wide comparability between settings, Naranjo scale still plays a role, although, as stated in several pharmacovigilance studies, the scale presents numerous well-known application limits [5]. Finally, as reported in Table 2 [2], none of adverse drug reactions described in our study were assessed as “certainly” associated with the suspected drugs.
  2 in total

1.  Adverse drug reactions in SARS-CoV-2 hospitalised patients: a case-series with a focus on drug-drug interactions.

Authors:  Alfredo Vannacci; Niccolò Lombardi; Giada Crescioli; Valentina Brilli; Cecilia Lanzi; Andrea Burgalassi; Alessandra Ieri; Roberto Bonaiuti; Elias Romano; Rinaldo Innocenti; Guido Mannaioni
Journal:  Intern Emerg Med       Date:  2020-12-23       Impact factor: 3.397

2.  Risk of Hospitalization Associated with Cardiovascular Medications in the Elderly Italian Population: A Nationwide Multicenter Study in Emergency Departments.

Authors:  Giada Crescioli; Alessandra Bettiol; Roberto Bonaiuti; Marco Tuccori; Marco Rossi; Annalisa Capuano; Silvia Pagani; Giulia Spada; Mauro Venegoni; Giuseppe Danilo Vighi; Guido Mannaioni; Alfredo Vannacci; Niccolò Lombardi
Journal:  Front Pharmacol       Date:  2021-01-29       Impact factor: 5.810

  2 in total
  1 in total

1.  Pharmacovigilance and Pharmacoepidemiology as a Guarantee of Patient Safety: The Role of the Clinical Pharmacologist.

Authors:  Giada Crescioli; Roberto Bonaiuti; Renato Corradetti; Guido Mannaioni; Alfredo Vannacci; Niccolò Lombardi
Journal:  J Clin Med       Date:  2022-06-20       Impact factor: 4.964

  1 in total

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