6 research outputs found
Utility of a Laboratory Alert System for Detecting Adverse Drug Reactions in Hospitalised Patients: Hyponatremia and Rhabdomyolysis
Background—Adverse drug reactions (ADRs) are a public health issue, due to their great impact on morbidity, mortality, and economic cost. The use of automatized laboratory alerts could simplify greatly its detection. Objectives—We aimed to evaluate the performance of a laboratory alerts system as a method for detecting ADRs, using hyponatremia and rhabdomyolysis as case studies. Methods—This is a retrospective observational study conducted in 2019 during a 6-month period, including patients hospitalized at the Hospital Universitario de La Princesa. Patients were identified using altered laboratory parameters corresponding to the two signals: “rhabdomyolysis” (creatine phosphokinase >5 times the upper limit of normality (ULN): >1000 U/L for men and >900 U/L for women) and “hyponatremia” (<116 mEq/L) were detected. In cases where ADR was suspected, causality assessment was performed using the algorithm of the Spanish Pharmacovigilance System (SEFV). Results—During the study period, 180 patients were studied for the “rhabdomyolysis” signal, 6 of them were found to have an ADR (3.3%). The sensitivity of the test was 60%, specificity 97%, and positive predictive value 41%. 28 patients were studied for the “hyponatremia” signal, and 11 patients were found to have an ADR (39.3%), with a sensitivity of 76.9%, a specificity of 93.3%, and a positive predictive value of 88.2%. We found no relationship between altered laboratory values and risk of ADR in any of the cases studied. Conclusion—A pharmacovigilance program based on automatized laboratory signals could be an effective method to detect ADR. The study of the “hyponatremia” laboratory alert is more efficient than “rhabdomyolysis”. The evaluation of the hyponatremia alert allows the identification of 12 times more ADRs than the rhabdomyolysis alert, which means less time spent per alert evaluated to identify an AD
NAT2 phenotype alters pharmacokinetics of rivaroxaban in healthy volunteers
Rivaroxaban is a direct inhibitor of factor Xa, a member of direct oral anticoagulant group of drugs (DOACs).
Despite being a widely extended alternative to vitamin K antagonists (i.e., acenocoumarol, warfarin) the interindividual variability of DOACs is significant, and may be related to adverse drug reaction occurrence or drug
inefficacy, namely hemorrhagic or thromboembolic events. Since there is not a consistent analytic practice to
monitor the anticoagulant activity of DOACs, previously reported polymorphisms in genes coding for proteins
responsible for the activation, transport, or metabolism of DOACs were studied. The study population comprised
60 healthy volunteers, who completed two randomized, crossover bioequivalence clinical trials between two
different rivaroxaban formulations. The effect of food, sex, biogeographical origin and 55 variants (8 phenotypes
and 47 single nucleotide polymorphisms) in drug metabolizing enzyme genes (such as CYP2D6, CYP2C9, NAT2)
and transporters (namely, ABCB1, ABCG2) on rivaroxaban pharmacokinetics was tested. Individuals dosed under
fasting conditions presented lower tmax (2.21 h vs 2.88 h, β = 1.19, R2 =0.342, p = 0.012) compared to fed
volunteers. NAT2 slow acetylators presented higher AUC∞ corrected by dose/weight (AUC∞/DW; 8243.90 vs
7698.20 and 7161.25 h*ng*mg /ml*kg, β = 0.154, R2 =0.250, p = 0.044), higher Cmax/DW (1070.99 vs 834.81
and 803.36 ng*mg /ml*kg, β = 0.245, R2 =0.320, p = 0.002), and lower tmax (2.63 vs 3.19 and 4.15 h, β =
− 0.346, R2 =0.282, p = 0.047) than NAT2 rapid and intermediate acetylators. No other association was statistically significant. Thus, slow NAT2 appear to have altered rivaroxaban pharmacokinetics, increasing AUC∞
and Cmax. Nonetheless, further research should be conducted to verify NAT2 involvement on rivaroxaban
pharmacokinetics and to determine its clinical significanceGonzalo Villapalos-García was co-financed by Instituto de Salud
Carlos III (ISCIII) and the European Social Fund (PFIS predoctoral grant,
number FI20/00090). Marcos Navares-Gomez ´ was financed by the
ICI20/00131 grant, Accion ´ Estrat´egica en Salud 2017–2020, ISCIII.
Pablo Zubiaur is financed by Universidad Autonoma ´ de Madrid,
Margarita Salas contract, grants for the requalification of the Spanish
university system. Paula Soria-Chacartegui is financed by Universidad
Autonoma ´ de Madrid (FPI-UAM, 2021). This study was co-financed by
Instituto de Salud Carlos III (ISCIII) and the European Regional Development Fund (ERDF) “A way of making Europe”, number PI19/0093
Genotype-Guided prescription of Azathioprine reduces the incidence of adverse drug reactions in TPMT intermediate metabolizers to a similar incidence as normal metabolizers
Introduction: Thiopurine drugs are purine
nucleoside analogues used for treatment of different immune-related conditions. To date,
different studies highlighted the importance of
thiopurine methyltransferase (TPMT) genotyping in patients who initiate treatment with
thiopurines to make an adequate dose adjustment. We aimed to investigate the influence of
TPMT phenotype, concomitant treatments, and
demographic characteristics on the incidence of adverse reactions (ADRs) in patients who start
treatment with azathioprine (AZA).
Methods: This was an observational and retrospective study. The study population comprised
109 patients who started treatment with AZA
following routine TPMT genotyping before June
2019 and who were routinely followed up at
Hospital Universitario de La Princesa. The incidence of ADRs and treatment duration were
evaluated according to TPMT phenotype.
Results: Forty-five men and 64 women were
recruited, with a mean age of 67.6 ± 18.5. The
medical specialty with the most requests was
dermatology (45.9%) and the most frequent
disease for which genotyping was requested was
bullous pemphigoid (27.5%). All patients were
normal metabolizers (NM), except for eight
intermediate metabolizers (IM) (7.3%); no poor
metabolizers (PM) were found. The initial azathioprine dose was subtherapeutic in both
groups (103.2 ± 45.4 mg in NMs and
75 ± 32.3 mg in IMs), increasing during the first
months of treatment, especially in NMs
(120.3 ± 41.3 vs. 78.6 ± 30.4 mg in IMs,
p = 0.011). Most patients (73.4%) received corticosteroids to keep the disease under control;
and for 41.2% of NMs, physicians were able to
reduce the dose at 6 months post treatment. No
IMs completed 6 months of treatment. Hepatotoxicity, gastric intolerance, and blood disorders were the most common ADRs. The
incidence of ADRs in the sample was 28.4%
(n = 31) with a similar trend between IMs (37.5%) and NMs (27.8%). Patients undergoing
concomitant treatment with allopurinol were
associated with a higher incidence of ADRs
(n = 4, 100% vs. n = 105, 20%; p = 0.002).
Conclusion: TPMT genotyping before AZA prescription reduces ADR incidence in IMs to a
similar level as NMs in the Spanish population.
However, it is important to note no IMs completed 6 months of treatment, suggesting that
there may be some differences in drug tolerability according to phenotype. In addition,
most NMs are treated with subtherapeutic
doses, are poorly followed up, and thus suffer
avoidable ADRs. Finally, concomitant therapies
that inhibit the xanthine oxidase enzyme
(XDH), such as allopurinol, predispose to ADRs.
Therefore, pharmacogenetic testing should be
integrated as an additional clinical tool, in such
a way that each patient receives personalized,
precision treatment, where all factors influencing drug response are consideredOpen Access funding provided
thanks to the CRUE-CSIC agreement with
Springer Nature. This research received no
external funding. G. Villapalos-Garcı´a is co-financed by Instituto de Salud Carlos III (ISCIII)
and the European Social Fund (PFIS predoctoral
grant, number FI20/00090). M. Navares-Go´mez
is financed by the ICI20/00131 Grant, Accio´n
Estrate´gica en Salud 2017-2020, ISCIII. Paula
Soria-Chacartegui is financed the FPI-UAM2021 predoctoral fellowship. P. Zubiaur’s contract with CIBERehd is financed by the
‘‘Infraestructura de Medicina de Precisio´n asociada a la Ciencia y Tecnologı´a (IMPaCT, IMP/
00009)’’, Instituto de Salud Carlos III (ISCIII
Impact of CYP2D6 and CYP2B6 phenotypes on the response to tramadol in patients with acute post‐surgical pain
Abstract Tramadol is an important minor opioid prescribed for pain management. In this study, we analyzed the well‐known impact of CYP2D6 genetic variation and 60 additional variants in eight candidate genes (i.e., ABCG2, SLCO1B1, CYP2D6, CYP2B6, CYP2C19, CYP2C9, CYP3A5, and CYP3A4) on tramadol efficacy and safety. Some 108 patients with pain after surgery admitted to a post‐anesthesia care unit (PACU) and prescribed tramadol were recruited. They were genotyped, and tramadol M1/M2 metabolite concentrations were determined by a newly validated HPLC‐MS/MS method. CYP2D6 intermediate (IM) and poor (PM) metabolizers showed lower M1 concentrations adjusted for dose/weight at 30 and 120 min compared to ultrarapid (UM) and normal (NM) metabolizers (univariate p < 0.001 and 0.020, multivariate p < 0.001 and 0.001, unstandardized β coefficients = 0.386 and 0.346, R2 = 0.146 and 0.120, respectively). CYP2B6 PMs (n = 10) were significantly related to a higher reduction in pain 30 min after tramadol intake (univariate p = 0.038, multivariate p = 0.016, unstandardized β coefficient = 0.224, R2 = 0.178), to lower PACU admission time (p = 0.007), and to lower incidence of adverse drug reactions (p = 0.038) compared to the other phenotypes. CYP3A4 IMs and PMs showed a higher prevalence of drowsiness and dizziness (p = 0.028 and 0.005, respectively). Our results suggest that the interaction of CYP2B6 and CYP2D6 phenotypes may be clinically relevant, pending validation of these results in large, independent cohorts. Additional research is required to clarify the impact of CYP3A4 genetic variation on tramadol response
Validity and reliability of the kiddie schedule for affective disorders and schizophrenia present and lifetime version DSM-5 (K-SADS-PL-5) Spanish version
Abstract Background There are various language adaptations of the Schedule for Affective Disorders and Schizophrenia for School Age Children Present and Lifetime Version (K-SADS-PL). In order to comply with the changes in DSM classification, the Spanish edition of the interview was in need of update and evaluation. Methods K-SADS-PL was adapted to correspond to DSM-5 categories. All clinicians received training, and a 90% agreement was reached. Patients and their parents or guardians were interviewed and videotaped, and the videos were exchanged between raters. Factor analysis was performed and inter-rater reliability was calculated only in the case of diagnoses in which there were more than five patients. Results A total of 74 subjects were included. The Factor Analysis yielded six factors (Depressive, Stress Hyperarousal, Disruptive Behavioral, Irritable Explosive, Obsessive Repetitive and Encopresis), representing 72% of the variance. Kappa values for inter-rater agreement were larger than 0.7 for over half of the disorders. Conclusions The factor structure of diagnoses, made with the instrument was found to correspond to the DSM-5 disorder organization. The instrument showed good construct validity and inter-rater reliability, which makes it a useful tool for clinical research studies in children and adolescents
Frequency and management of maternal infection in health facilities in 52 countries (GLOSS): a 1-week inception cohort study
Background Maternal infections are an important cause of maternal mortality and severe maternal morbidity. We report the main findings of the WHO Global Maternal Sepsis Study, which aimed to assess the frequency of maternal infections in health facilities, according to maternal characteristics and outcomes, and coverage of core practices for early identification and management. Methods We did a facility-based, prospective, 1-week inception cohort study in 713 health facilities providing obstetric, midwifery, or abortion care, or where women could be admitted because of complications of pregnancy, childbirth, post-partum, or post-abortion, in 52 low-income and middle-income countries (LMICs) and high-income countries (HICs). We obtained data from hospital records for all pregnant or recently pregnant women hospitalised with suspected or confirmed infection. We calculated ratios of infection and infection-related severe maternal outcomes (ie, death or near-miss) per 1000 livebirths and the proportion of intrahospital fatalities across country income groups, as well as the distribution of demographic, obstetric, clinical characteristics and outcomes, and coverage of a set of core practices for identification and management across infection severity groups. Findings Between Nov 28, 2017, and Dec 4, 2017, of 2965 women assessed for eligibility, 2850 pregnant or recently pregnant women with suspected or confirmed infection were included. 70·4 (95% CI 67·7–73·1) hospitalised women per 1000 livebirths had a maternal infection, and 10·9 (9·8–12·0) women per 1000 livebirths presented with infection-related (underlying or contributing cause) severe maternal outcomes. Highest ratios were observed in LMICs and the lowest in HICs. The proportion of intrahospital fatalities was 6·8% among women with severe maternal outcomes, with the highest proportion in low-income countries. Infection-related maternal deaths represented more than half of the intrahospital deaths. Around two-thirds (63·9%, n=1821) of the women had a complete set of vital signs recorded, or received antimicrobials the day of suspicion or diagnosis of the infection (70·2%, n=1875), without marked differences across severity groups. Interpretation The frequency of maternal infections requiring management in health facilities is high. Our results suggest that contribution of direct (obstetric) and indirect (non-obstetric) infections to overall maternal deaths is greater than previously thought. Improvement of early identification is urgently needed, as well as prompt management of women with infections in health facilities by implementing effective evidence-based practices