Skip to main content

ORIGINAL RESEARCH article

Front. Neurol., 09 March 2023
Sec. Neurocritical and Neurohospitalist Care

Clinical impact of carbapenems in critically ill patients with valproic acid therapy: A propensity-matched analysis

\nShu-Chen HsiaoShu-Chen Hsiao1Wei-Hung LaiWei-Hung Lai2I-Ling Chen,
I-Ling Chen1,3*Fu-Yuan Shih
Fu-Yuan Shih4*
  • 1Department of Pharmacy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
  • 2Department of Trauma Surgery, Chang Gung University College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
  • 3School of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
  • 4Department of Neurosurgery, Chang Gung University College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan

Background: Valproic acid (VPA) is one of the most widely used broad-spectrum antiepileptic drugs, and carbapenems (CBPs) remain the drug of choice for severe infection caused by multidrug-resistant bacteria in critically ill patients. The interaction between VPA and CBPs can lead to a rapid depletion of serum VPA level. This may then cause status epilepticus (SE), which is associated with significant mortality. However, the prognostic impact of drug interactions in critically ill patients remains an under-investigated issue.

Objective: The aim of this study was to compare the prognosis of critically ill patients treated with VPA and concomitant CBPs or other broad-spectrum antibiotics.

Methods: Adult patients admitted to a medical center intensive care unit between January 2007 and December 2017 who concomitantly received VPA and antibiotics were enrolled. The risk of reduced VPA serum concentration, seizures and SE, mortality rate, length of hospital stay (LOS), and healthcare expenditure after concomitant administration were analyzed after propensity score matching.

Results: A total of 1,277 patients were included in the study, of whom 264 (20.7%) concomitantly received VPA and CBPs. After matching, the patients who received CBPs were associated with lower VPA serum concentration (15.8 vs. 60.8 mg/L; p < 0.0001), a higher risk of seizures (51.2 vs. 32.4%; adjusted odds ratio [aOR], 2.19; 95% CI, 1.48–3.24; p < 0.0001), higher risk of SE (13.6 vs. 4.7%; aOR, 3.20; 95% CI, 1.51–6.74; p = 0.0014), higher in-hospital mortality rate (33.8 vs. 24.9%; aOR, 1.57; 95% CI, 1.03–2.20; p = 0.036), longer LOS after concomitant therapy (41 vs. 30 days; p < 0.001), and increased healthcare expenditure (US$20,970 vs. US$12,848; p < 0.0001) than those who received other broad-spectrum antibiotics.

Conclusion: The administration of CBPs in epileptic patients under VPA therapy was associated with lower VAP serum concentration, a higher risk of seizures and SE, mortality, longer LOS, and significant utilization of healthcare resources. Healthcare professionals should pay attention to the concomitant use of VPA and CBPs when treating patients with epilepsy. Further studies are warranted to investigate the reason for the poor outcomes and whether avoiding the co-administration of VPA and CBP can improve the outcomes of epileptic patients.

1. Introduction

Seizures are common neurological complications in the critically ill (1). The severity of seizures exists from a single seizure to status epilepticus, which is associated with high mortality (2) and longer length of hospital stay (LOS) (3). Seizures and status epilepticus (SE) may be due to a history of epilepsy or secondary insults such as acute stroke, traumatic brain injury, brain tumor, central nervous system infection, electrolytic and metabolic disorders, sepsis, medication withdrawal, drug toxicity, and organ failure (4). Antiepileptic drugs (AEDs) withdrawal or noncompliance is the common cause of SE (5, 6).

An international study reported that 70% of patients receive empirical or targeted antibiotic treatment in the intensive care unit (ICU) (7). Multiple classes of antibiotics are associated with symptomatic seizures and SE (8, 9). Therefore, when prescribing antibiotics to patients with epilepsy, some issues have to be considered, including whether they will adversely affect seizure control, precipitate seizures, and interact with concomitant AEDs (10).

Carbapenems (CBPs), such as imipenem/cilastatin, meropenem, ertapenem, and doripenem, have a broad antimicrobial spectrum and are used to treat severe and complicated bacterial infections (11). The interaction between CBPs and valproic acid (VPA), which is a broad-spectrum AED and widely used for acute and chronic seizures (12), may worsen seizure control and increase the risk of developing SE (1319).

Infection (20, 21) and SE (2, 22) are associated with LOS, mortality, and cost in critically ill patients. However, the effect of the interaction between CBPs and VPA on the outcomes of critically ill patients remains uncertain. Therefore, this study aimed to use propensity score matching (23, 24) and compared the risk of seizures and SE, mortality rate, and healthcare resource utilization between critically ill patients treated with VPA and concomitant CBPs or other broad-spectrum antibiotics.

2. Materials and methods

2.1. Study population and data collection

Critically ill adult patients (age: 18–99 years) who were admitted to the ICUs at Kaohsiung Chang Gung Memorial Hospital between 2007 and 2017 and received VPA for a history of epileptic seizures were enrolled in this cohort study. Of these patients, those who concomitantly received antibiotics were divided into two groups: CBP group or other broad-spectrum antibiotics group (non-CBP group). The following carbapenem antibiotics were included in this study: imipenem/cilastatin, meropenem, ertapenem, and doripenem. We excluded patients who stayed in the ICU for <48 h, those who received VPA therapy for <48 h, and those who developed SE before concomitant administration. The study was approved (approval no. 201800716B0) by the Institutional Review Board of Chang Gung Medical Foundation, which waived the requirement for written informed consent.

Clinical information was retrieved and reviewed from the patient's medical records and the Chang Gung Research Database, which contains information on demographics, pharmacy dispensing, and clinical measures, including diagnosis, laboratory results, and healthcare expenditure. The collected variables included age, sex, etiology of epileptic seizures, AEDs used, Sequential Organ Failure Assessment (SOFA) score (25), Charlson comorbidity index score (26), hospital-acquired infection (27), comorbidities, VPA serum concentration, epileptic seizures, SE, in-hospital mortality, length of hospital stay (LOS), and healthcare expenditure. In addition, data on comorbidities including cerebrovascular disease, myocardial infarction, congestive heart failure, peripheral vascular disease, chronic pulmonary disease, liver disease, chronic kidney disease, diabetes mellitus, and malignant neoplasms were also recorded.

2.2. Outcome measures and definitions

The primary outcome was the risk of lower VPA serum concentrations and the risk of seizures and SE during concomitant administration. SE was defined according to the International League Against Epilepsy as seizures lasting more than 5 min or recurrent epileptic activity over a period of more than 5 min without regaining the pre-existing level of consciousness (28). The secondary outcomes included in-hospital mortality rate, LOS after concomitant administration, and healthcare expenditure.

The calculation of hospital expenditure included the official estimated cost per day of hospitalization in a standard ward and the ICU. This cost included all medical services, diagnostic tests, complementary examinations, therapeutic procedures, medications, and the materials needed during the patient's admission.

2.3. Statistical analysis

The patients' demographics, clinical characteristics, and outcomes are summarized using frequency and percentage for categorical variables and median and interquartile range for continuous variables. As appropriate, comparisons between groups were performed using the Pearson chi-square test and Wilcoxon rank-sum test. To overcome selection bias between the CBP and non-CBP groups, we performed propensity score matching by fitting a logistic regression with a greedy 8→ 1 digit-matching algorithm (29). Cases were initially matched to controls on 8 decimals of the propensity score. Those who were not matched on 8 decimals were matched using 7 decimals, and so forth down to a 1-decimal match. The CBP group of patients who remained unmatched at 1 decimal of the propensity score were excluded from the analysis. The covariates included in the propensity score model were those with a potential impact on the outcome: age, sex, etiology of epileptic seizures, AEDs used, SOFA score, Charlson comorbidity index score, hospital-acquired infection, and comorbidities. The Kaplan-Meier method was used to estimate the cumulative risk of developing SE after concomitant administration. All analyses were performed using SAS version 9.4 (SAS Institute, Cary NC, USA).

3. Results

3.1. Baseline characteristics

A total of 1,373 patients in ICUs concomitantly received VPA and antibiotics during the study period, of whom 96 were excluded (11 who stayed in the ICU for <48 h, 14 who received VPA therapy for <48 h, and 71 who developed SE before concomitant administration). The remaining 1,277 patients met the selection criteria and were enrolled, including 264 patients in the CBP group and 1,013 patients in the non-CBP group (Figure 1). The baseline characteristics of the included patients before matching are shown in Table 1. The median age of the patients was 66 years (range: 18–99 years), and the majority were male (61.2%). The most common etiology of epileptic seizures was post-stroke. Seven hundred and forty-two patients (58.1%) underwent monotherapy with VPA. The median SOFA score was 6, and the median Charlson comorbidity index score was 3. The most common comorbidity was cerebrovascular disease (57.1%), and 131 patients (10.3%) had hospital-acquired infections. The in-hospital mortality rate was 21.5%, the median length of LOS after concomitant administration was 31 days, and the median healthcare expenditure was US$6,764.

FIGURE 1
www.frontiersin.org

Figure 1. The enrollment flowchart of critically ill patients treated with VPA and concomitant antibiotics. CBP, carbapenem antibiotics; ICU, intensive care unit; SE, status epilepticus; VPA, valproic acid.

TABLE 1
www.frontiersin.org

Table 1. Characteristics of VPA-treated patients with concomitant antibiotics use (N = 1,277).

Before propensity score matching, the characteristics varied considerably between the two groups (Table 2). The CBP group was older and had more post-stroke seizures (p = 0.015), more post-traumatic seizures (p = 0.010), a higher SOFA score (p < 0.001), a higher Charlson comorbidity index score (p < 0.001), and a higher hospital-acquired infection rate (p < 0.001). In addition, the non-CBP group had higher rates of comorbidities, including congestive heart failure (p = 0.014) and chronic renal disease (p < 0.001). After propensity score matching, 213 patients were assigned to each group. There were no significant differences between the two matched groups.

TABLE 2
www.frontiersin.org

Table 2. Characteristics of VPA-treated patients with concomitant antibiotics use before and after propensity score matching.

3.2. Outcomes associated with co-administration of VPA and antibiotics

We then investigated the outcomes of the patients in the CBP group and non-CBP group (Table 3). The CBP group had a lower median VPA serum concentration (15.8 versus 60.8 mg/L; p < 0.0001). One hundred and seventy-eight patients with epileptic seizures had 124 electroencephalography (EEG) records. Regarding EEG patterns, 60 patients had delta activity, 3 patients had inter-ictal spikes, 44 patients had electric seizures, 4 patients had lateralized periodic discharge, 12 patients had status epilepticus, and one had normal patterns. Epileptic seizures occurred in 178 (41.8%) of the patients overall, including 109 (51.2%) in the CBP group and 69 (32.4%) in the non-CBP group (adjusted odds ratio [aOR], 2.19; 95% CI, 1.48–3.24; p < 0.001). SE occurred in 39 (9.2%) of the patients overall, including 29 (13.6%) in the CBP group and 10 (4.7%) in the non-CBP group (aOR, 3.20; 95% CI, 1.51–6.74; p = 0.001). There were four patients with non-convulsive seizures. After concomitant administration, the epileptic seizure and SE rates were higher in the CBP group. The Kaplan-Meier curve showing the relationship between the duration of concomitant administration and SE is shown in Figure 2. The 14-day SE rate was 12.7% in the CBP group and 4.7% in the non-CBP group (log-rank p = 0.002).

TABLE 3
www.frontiersin.org

Table 3. Comparison of clinical outcomes in propensity-matched groups.

FIGURE 2
www.frontiersin.org

Figure 2. Kaplan-Meier curves showing the rates of status epilepticus in the CBP and non-CBP groups after the concomitant administration (log-rank P = 0.001). CBP, carbapenem antibiotics.

We also investigated the two groups' mortality, LOS, and healthcare expenditure. The CBP group was associated with a higher in-hospital mortality rate (33.8% versus 24.9%, aOR, 1.57; 95% CI, 1.03–2.20; p = 0.036), longer LOS after concomitant administration (41 vs. 30 days; p < 0.001), and increased healthcare expenditure (US$20,970 versus US$12,848; p < 0.001) compared to the non-CBP group (Table 3).

4. Discussion

4.1. Outcomes associated with co-administration of VPA and antibiotics

In this retrospective propensity-matched cohort study, 41.8% of the critically ill enrolled patients had epileptic seizures, and 9.2% had SE during the concomitant administration of VPA and antibiotics. In addition, the co-administration of VPA and CBP was associated with lower VAP serum concentration, a higher risk of epileptic seizures and SE, higher mortality rate, longer LOS, and higher healthcare expenditure compared to the concomitant administration of VPA and other broad-spectrum antibiotics.

The prevalence of epileptic seizures in critically ill patients has been reported to range from 8 to 34% in previous studies (3038). Moreover, in critically ill patients with a history of epileptic seizures, the epileptic seizure rate has been reported to range from 33 to 61% (3234). In the current study, 41.8% of the patients had epileptic seizures, which is consistent with previous studies.

Low AED levels in patients with epilepsy are one of the most common etiologies of epileptic seizures and SE (32, 34, 39, 40). Many etiologies can cause epileptic seizures in the ICU, including alcohol withdrawal, stroke, anoxic brain injury, central nervous system infection, head trauma, sepsis, metabolic disorders, and other acute drug toxicity or withdrawal (41). Although CBPs have been associated with a higher risk of epileptic seizures than non-CBP antibiotics, the absolute risk of epileptic seizures with CBPs is low (42). In our study, all patients had a history of epileptic seizures and underwent AED therapy before ICU admission. After propensity score matching, the CBP group had a higher risk of epileptic seizures than the non-CBP group. Pre-existing epilepsy and AED withdrawal are the most common etiologies associated with epileptic seizures in critically ill patients (32, 34, 39). The co-administration of VPA and CBPs has been shown to be similar to the abrupt withdrawal of VPA and may cause serious rebound epileptic seizures (1319). The VAP median serum concentration in the CBP group was lower than in the non-CBP group (15.8 vs. 60.8 mg/L; p < 0.0001). Several mechanisms have been proposed for the drug-drug interactions between VPA and CBPs, including the inhibition of intestinal VPA absorption (43), interruption of enterohepatic circulation of VPA (44), inhibition of VPA efflux from erythrocytes (45), increased VAP glucuronidation (46), inhibition of hydrolysis of VPA glucuronide (VPA-G) to VPA (47), and elevation in urinary excretion of VPA-G (48). Although the precise mechanisms remain unclear, one of the generally recognized explanations is that CBPs inhibit the hydrolysis of VPA-G to VPA, resulting in the rapid hepatic clearance of VPA-G and subsequent decline in plasma VPA concentration, which in turn is associated with a higher risk of epileptic seizures and SE. Concomitant administration with VPA and CBPs has also been associated with an increased number of epileptic seizures and epileptic activity on EEG (15). Acylpeptide hydrolase (APEH) is the key enzyme responsible for VPA-G hydrolysis (49), and CBPs have been associated with the irreversible inhibition of APEH (50). Following the discontinuation of CBP treatment, the effect on VAP has been noted to last for several days (13, 15, 16). This may be why there was a higher 14-day SE rate in the CBP group (12.7%) than in the non-CBP group (4.7%).

The mortality rate in critical care units has been associated with multiple factors, including age (51), infection (52), comorbidities (53), and SE (2). Before matching, the CBP group was older and had a higher SOFA score, higher Charlson comorbidity index score, and higher hospital-acquired infection rate. SOFA score and Charlson comorbidity index are used to predict infection-related mortality (54) and in-hospital mortality (53) in the ICU. After matching, the SOFA score was 8 in both groups. The reported mortality rate of critically ill patients with infection is around 20% (54). However, the mortality rate was 33.8% in our CBP group. The all-cause in-hospital mortality rate in patients receiving coadministration of VAP and CBP has been reported to range from 42.9 to 64% (13, 15). The higher rate than in our study may be due to the small sample size and comorbidities in the previous studies. SE is associated with increased mortality in critically ill patients (2, 55). In our study, the mortality rate in the patients who developed SE was 43.6% (17 of 39). This result is consistent with the findings in previous studies, in which the in-hospital mortality rate of SE ranged from 38 to 55% (56, 57). Infection after SE is frequent and associated with higher mortality (58). However, no previous study has focused on SE after infection. In the present study, we found that the concomitant administration of VPA and CBPs was a risk factor compared to increased mortality (33.8 vs. 24.9%), which may be due to the increased risk of SE in the CBP group.

SE has been associated with high healthcare expenditure in previous studies (3, 55, 59) due to lengthy hospitalization and possible sequelae (3). In previous studies from the US and Germany, the median inpatient costs of SE were US$18,834 and €4,702 per admission (55, 60). In our study, the median inpatient cost was higher for the patients with SE than those without SE (US$21,272 vs. US$16,304, p = 0.011). Several studies have shown that higher severity of illness corresponds to higher ICU costs (61, 62) and that 85% to 90% of ICU and post-ICU hospital costs are due to LOS (61). A longer LOS was noted after the concomitant administration of VAP and CBPs in the present study. Spriet et al. reported a median LOS of 46 days in patients who received concomitant administration with VAP and CBPs (15), comparable with our CBP group (41 days). In our study, the median LOS in the patients with SE was 7 days longer than in those without SE, however, the difference was not significant (42 vs. 35 days, p = 0.130). The results of the present study underscore the importance of decreasing SE by avoiding the concomitant use of VAP and CBP. Therefore, concomitant administration with VAP and CBPs may increase the LOS and healthcare expenditure.

4.2. Strengths and limitations

To the best of our knowledge, this is the first and largest study to investigate concomitant administration with VAP and CBPs in critically ill patients in the ICU. Using propensity score matching, the CBP group were associated with worse clinical outcomes than the non-CBP group. Our findings are important and strengthen the evidence for clinical decision-making when facing critically ill patients who require the concomitant use of AEDs with antibiotics. In addition, our study confirms and highlights that SE is associated with high mortality and significant utilization of healthcare resources.

In the present study, we used propensity score matching to evaluate the relationship between VPA-CBP interactions and critical care outcomes as it can reduce confounding by balancing the observed covariates at each particular value of the propensity score (63). After matching, all selected potential confounding factors were sufficiently balanced between the two matched groups. This is similar to randomization procedures used in clinical trials, as on average the distribution of covariates was balanced between the CBP and non-CBP groups, which strengthens causal inference and thus improves the methodological quality of this observational study.

This study has several limitations. First, this was an observational and not a randomized study, and so we cannot exclude the possibility of unmeasured confounding. For example, not every patient with seizures had EEG recordings. Interventions which may have reduced morbidity and mortality such as treatment of refractory SE with general anesthesia or AED combination therapy (64, 65). Second, the use of propensity score matching limited the sample size to patients who could be matched. Third, this was a single-center study, and results may differ in other setting and other populations.

5. Conclusions

Our results provide the strongest observational evidence to date of the effect of concomitant administration with VAP and CBPs in critically ill ICU patients. Our results highlight that the CBPs should be avoided prescribing to patients with epilepsy undergoing VPA therapy in ICU. If patients with VAP need CBP therapy, we should monitor seizures closely and manage seizures carefully. Changing AED will be better management than increasing the VPA dosage. Further studies are warranted to investigate the reason for the poor outcomes and whether avoiding the co-administration of VPA and CBP can improve the outcomes of epileptic patients.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by Institutional Review Board of Chang Gung Medical Foundation. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author contributions

S-CH, I-LC, and F-YS designed the study. I-LC and S-CH built the database. S-CH wrote the first version of the manuscript. S-CH and F-YS performed the first revision of the manuscript. I-LC and F-YS performed the statistical analyses. All authors contributed to the interpretation of the data, revised the manuscript critically, gave final approval of the version to be published, and read and approved the final manuscript.

Funding

This study was supported by grants from Chang Gung Memorial Hospital, Taiwan (CMRPG8G1031 and CMRPG8L0941). The funders had no role in study design, data collection, and analysis, preparation of the manuscript, or decision to publish.

Acknowledgments

We would like to thank the Biostatistics Center, Kaohsiung Chang Gung Memorial Hospital for their assistance with the statistical analysis and Malcolm Higgins who edited and reviewed the manuscript for English language consideration.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Bleck TP, Smith MC, Pierre-Louis SJ, Jares JJ, Murray J, Hansen CA. Neurologic complications of critical medical illnesses. Crit Care Med. (1993) 21:98–103. doi: 10.1097/00003246-199301000-00019

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Legriel S, Mourvillier B, Bele N, Amaro J, Fouet P, Manet P, et al. Outcomes in 140 critically ill patients with status epilepticus. Intensive Care Med. (2008) 34:476–80. doi: 10.1007/978-0-387-77383-4_76

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Santamarina E, Parejo B, Abraira L, Gutierrez-Viedma A, Alpuente A, Abarrategui B, et al. Cost of status epilepticus (SE): effects of delayed treatment and SE duration. Epilepsy Behav. (2018) 89:8–14. doi: 10.1016/j.yebeh.2018.09.046

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Beleza P. Acute symptomatic seizures: a clinically oriented review. Neurologist. (2012) 18:109–19. doi: 10.1097/NRL.0b013e318251e6c3

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Lowenstein DH, Alldredge BK. Status epilepticus at an urban public hospital in the 1980's. Neurology. (1993) 43(3 Pt 1):483–8. doi: 10.1212/WNL.43.3_Part_1.483

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Towne AR, Pellock JM, Ko D, DeLorenzo RJ. Determinants of mortality in status epilepticus. Epilepsia. (1994) 35:27–34. doi: 10.1111/j.1528-1157.1994.tb02908.x

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Vincent JL, Rello J, Marshall J, Silva E, Anzueto A, Martin CD, et al. International study of the prevalence and outcomes of infection in intensive care units. JAMA. (2009) 302:2323–9. doi: 10.1001/jama.2009.1754

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Sutter R, Ruegg S, Tschudin-Sutter S. Seizures as adverse events of antibiotic drugs: a systematic review. Neurology. (2015) 85:1332–41. doi: 10.1212/WNL.0000000000002023

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Wanleenuwat P, Suntharampillai N, Iwanowski P. Antibiotic-induced epileptic seizures: mechanisms of action and clinical considerations. Seizure. (2020) 81:167–74. doi: 10.1016/j.seizure.2020.08.012

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Gunnarsson M, Sundstrom P, Stigbrand T, Jensen PE. Native and transformed alpha2-macroglobulin in plasma from patients with multiple sclerosis. Acta Neurol Scand. (2003) 108:16–21. doi: 10.1034/j.1600-0404.2003.00079.x

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Clark NM, Patterson J, Lynch JP III. Antimicrobial resistance among gram-negative organisms in the intensive care unit. Curr Opin Crit Care. (2003) 9:413–23. doi: 10.1097/00075198-200310000-00012

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Peters CN, Pohlmann-Eden B. Intravenous valproate as an innovative therapy in seizure emergency situations including status epilepticus–experience in 102 adult patients. Seizure. (2005) 14:164–9. doi: 10.1016/j.seizure.2005.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Bede P, Lawlor D, Solanki D, Delanty N. Carbapenems and valproate: a consumptive relationship. Epilepsia Open. (2017) 2:107–11. doi: 10.1002/epi4.12030

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Miranda Herrero MC, Alcaraz Romero AJ, Escudero Vilaplana V, Fernandez Lafever SN, Fernandez-Llamazares CM, Barredo Valderrama E, et al. Pharmacological interaction between valproic acid and carbapenem: what about levels in pediatrics? Eur J Paediatr Neurol. (2015) 19:155–61. doi: 10.1016/j.ejpn.2014.12.010

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Spriet I, Goyens J, Meersseman W, Wilmer A, Willems L, Van Paesschen W. Interaction between valproate and meropenem: a retrospective study. Ann Pharmacother. (2007) 41:1130–6. doi: 10.1345/aph.1K079

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Spriet I, Meersseman W, De Troy E, Wilmer A, Casteels M, Willems L. Meropenem -valproic acid interaction in patients with cefepime-associated status epilepticus. Am J Health Syst Pharm. (2007) 64:54–8. doi: 10.2146/ajhp050512

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Fudio S, Carcas A, Pinana E, Ortega R. Epileptic seizures caused by low valproic acid levels from an interaction with meropenem. J Clin Pharm Ther. (2006) 31:393–6. doi: 10.1111/j.1365-2710.2006.00743.x

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Coves-Orts FJ, Borras-Blasco J, Navarro-Ruiz A, Murcia-Lopez A, Palacios-Ortega F. Acute seizures due to a probable interaction between valproic acid and meropenem. Ann Pharmacother. (2005) 39:533–7. doi: 10.1345/aph.1E358

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Santucci M, Parmeggiani A, Riva R. Seizure worsening caused by decreased serum valproate during meropenem therapy. J Child Neurol. (2005) 20:456–7. doi: 10.1177/08830738050200051401

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Esme M, Topeli A, Yavuz BB, Akova M. Infections in the elderly critically-ill patients. Front Med. (2019) 6:118. doi: 10.3389/fmed.2019.00118

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med. (2001) 29:1303–10. doi: 10.1097/00003246-200107000-00002

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Sutter R, Marsch S, Fuhr P, Ruegg S. Mortality and recovery from refractory status epilepticus in the intensive care unit: a 7-year observational study. Epilepsia. (2013) 54:502–11. doi: 10.1111/epi.12064

PubMed Abstract | CrossRef Full Text | Google Scholar

23. D'Agostino RB, Jr. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med. (1998) 17:2265–81. doi: 10.1002/(SICI)1097-0258(19981015)17:19&lt;2265::AID-SIM918&gt;3.0.CO;2-B

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Kitsios GD, Dahabreh IJ, Callahan S, Paulus JK, Campagna AC, Dargin JM. Can we trust observational studies using propensity scores in the critical care literature? A systematic comparison with randomized clinical trials. Crit Care Med. (2015) 43:1870–9. doi: 10.1097/CCM.0000000000001135

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Vincent JL, Moreno R, Takala J, Willatts S, De Mendonca A, Bruining H, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the working group on sepsis-related problems of the European society of intensive care medicine. Inten Care Med. (1996) 22:707–10. doi: 10.1007/BF01709751

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Sundararajan V, Henderson T, Perry C, Muggivan A, Quan H, Ghali WA. New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J Clin Epidemiol. (2004) 57:1288–94. doi: 10.1016/j.jclinepi.2004.03.012

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. (2008) 36:309–32. doi: 10.1016/j.ajic.2008.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Trinka E, Cock H, Hesdorffer D, Rossetti AO, Scheffer IE, Shinnar S, et al. A definition and classification of status epilepticus—Report of the ILAE task force on classification of status epilepticus. Epilepsia. (2015) 56:1515–23. doi: 10.1111/epi.13121

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Parsons LS. Reducing Bias in a Propensity Score Matched-Pair Sample Using Greedy Matching Techniques. Proceedings of the 26th Annual SAS users Group International Conference. SAS Institute Inc. (2010).

Google Scholar

30. Abend NS, Gutierrez-Colina AM, Topjian AA, Zhao H, Guo R, Donnelly M, et al. Non-convulsive seizures are common in critically ill children. Neurology. (2011) 76:1071–7. doi: 10.1212/WNL.0b013e318211c19e

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Carrera E, Claassen J, Oddo M, Emerson RG, Mayer SA, Hirsch LJ. Continuous electroencephalographic monitoring in critically ill patients with central nervous system infections. Arch Neurol. (2008) 65:1612–8. doi: 10.1001/archneur.65.12.1612

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Claassen J, Mayer SA, Kowalski RG, Emerson RG, Hirsch LJ. Detection of electrographic seizures with continuous EEG monitoring in critically ill patients. Neurology. (2004) 62:1743–8. doi: 10.1212/01.WNL.0000125184.88797.62

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Struck AF, Osman G, Rampal N, Biswal S, Legros B, Hirsch LJ, et al. Time-dependent risk of seizures in critically ill patients on continuous electroencephalogram. Ann Neurol. (2017) 82:177–85. doi: 10.1002/ana.24985

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Westover MB, Shafi MM, Bianchi MT, Moura LM, O'Rourke D, Rosenthal ES, et al. The probability of seizures during EEG monitoring in critically ill adults. Clin Neurophysiol. (2015) 126:463–71. doi: 10.1016/j.clinph.2014.05.037

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Claassen J, Jetté N, Chum F, Green R, Schmidt M, Choi H, et al. Electrographic seizures and periodic discharges after intracerebral hemorrhage. Neurology. (2007) 69:1356–65. doi: 10.1212/01.wnl.0000281664.02615.6c

PubMed Abstract | CrossRef Full Text | Google Scholar

36. DeLorenzo RJ, Waterhouse EJ, Towne AR, Boggs JG, Ko D, DeLorenzo GA, et al. Persistent nonconvulsive status epilepticus after the control of convulsive status epilepticus. Epilepsia. (1998) 39:833–40. doi: 10.1111/j.1528-1157.1998.tb01177.x

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Privitera M, Hoffman M, Moore JL, Jester D. EEG detection of nontonic-clonic status epilepticus in patients with altered consciousness. Epilepsy Res. (1994) 18:155–66. doi: 10.1016/0920-1211(94)90008-6

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Towne AR, Waterhouse EJ, Boggs JG, Garnett LK, Brown AJ, Smith JR Jr, et al. Prevalence of nonconvulsive status epilepticus in comatose patients. Neurology. (2000) 54:340–5. doi: 10.1212/WNL.54.2.340

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Trinka E, Hofler J, Zerbs A. Causes of status epilepticus. Epilepsia. (2012) 53(Suppl 4):127–38. doi: 10.1111/j.1528-1167.2012.03622.x

PubMed Abstract | CrossRef Full Text | Google Scholar

40. DeLorenzo RJ, Hauser WA, Towne AR, Boggs JG, Pellock JM, Penberthy L, et al. A prospective, population-based epidemiologic study of status epilepticus in Richmond, Virginia. Neurology. (1996) 46:1029–35. doi: 10.1212/WNL.46.4.1029

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Ziai WC, Kaplan PW. Seizures and status epilepticus in the intensive care unit. Semin Neurol. (2008) 28:668–81. doi: 10.1055/s-0028-1105978

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Cannon JP, Lee TA, Clark NM, Setlak P, Grim SA. The risk of seizures among the carbapenems: a meta-analysis. J Antimicrob Chemother. (2014) 69:2043–55. doi: 10.1093/jac/dku111

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Torii M, Takiguchi Y, Izumi M, Fukushima T, Yokota M. Carbapenem antibiotics inhibit valproic acid transport in Caco-2 cell monolayers. Int J Pharm. (2002) 233:253–6. doi: 10.1016/S0378-5173(01)00916-4

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Kojima S, Nadai M, Kitaichi K, Wang L, Nabeshima T, Hasegawa T. Possible mechanism by which the carbapenem antibiotic panipenem decreases the concentration of valproic acid in plasma in rats. Antimicrob Agents Chemother. (1998) 42:3136–40. doi: 10.1128/AAC.42.12.3136

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Omoda K, Murakami T, Yumoto R, Nagai J, Maeda Y, Kiribayashi Y, et al. Increased erythrocyte distribution of valproic acid in pharmacokinetic interaction with carbapenem antibiotics in rat and human. J Pharm Sci. (2005) 94:1685–93. doi: 10.1002/jps.20338

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Yamamura N, Imura K, Naganuma H, Nishimura K. Panipenem, a carbapenem antibiotic, enhances the glucuronidation of intravenously administered valproic acid in rats. Drug Metab Dispos. (1999) 27:724–30.

PubMed Abstract | Google Scholar

47. Nakajima Y, Mizobuchi M, Nakamura M, Takagi H, Inagaki H, Kominami G, et al. Mechanism of the drug interaction between valproic acid and carbapenem antibiotics in monkeys and rats. Drug Metab Dispos. (2004) 32:1383–91. doi: 10.1124/dmd.104.000661

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Yokogawa K, Iwashita S, Kubota A, Sasaki Y, Ishizaki J, Kawahara M, et al. Effect of meropenem on disposition kinetics of valproate and its metabolites in rabbits. Pharm Res. (2001) 18:1320–6. doi: 10.1023/A:1013046229699

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Suzuki E, Yamamura N, Ogura Y, Nakai D, Kubota K, Kobayashi N, et al. Identification of valproic acid glucuronide hydrolase as a key enzyme for the interaction of valproic acid with carbapenem antibiotics. Drug Metab Dispos. (2010) 38:1538–44. doi: 10.1124/dmd.110.032938

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Masuo Y, Ito K, Yamamoto T, Hisaka A, Honma M, Suzuki H. Characterization of inhibitory effect of carbapenem antibiotics on the deconjugation of valproic acid glucuronide. Drug Metab Dispos. (2010) 38:1828–35. doi: 10.1124/dmd.110.034231

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Vallet H, Schwarz GL, Flaatten H, de Lange DW, Guidet B, Dechartres A. Mortality of older patients admitted to an ICU: a systematic review. Crit Care Med. (2021) 49:324–34. doi: 10.1097/CCM.0000000000004772

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Ylipalosaari P, Ala-Kokko TI, Laurila J, Ohtonen P, Syrjala H. Intensive care acquired infection is an independent risk factor for hospital mortality: a prospective cohort study. Crit Care. (2006) 10:R66. doi: 10.1186/cc4902

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Christensen S, Johansen MB, Christiansen CF, Jensen R, Lemeshow S. Comparison of Charlson comorbidity index with SAPS and APACHE scores for prediction of mortality following intensive care. Clin Epidemiol. (2011) 3:203–11. doi: 10.2147/CLEP.S20247

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Raith EP, Udy AA, Bailey M, McGloughlin S, MacIsaac C, Bellomo R, et al. Prognostic accuracy of the SOFA Score, SIRS criteria, and qSOFA score for in-hospital mortality among adults with suspected infection admitted to the intensive care unit. JAMA. (2017) 317:290–300. doi: 10.1001/jama.2016.20328

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Strzelczyk A, Ansorge S, Hapfelmeier J, Bonthapally V, Erder MH, Rosenow F. Costs, length of stay, and mortality of super-refractory status epilepticus: a population-based study from Germany. Epilepsia. (2017) 58:1533–41. doi: 10.1111/epi.13837

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Garzon E, Fernandes RM, Sakamoto AC. Analysis of clinical characteristics and risk factors for mortality in human status epilepticus. Seizure. (2003) 12:337–45. doi: 10.1016/S1059-1311(02)00324-2

PubMed Abstract | CrossRef Full Text | Google Scholar

57. DeLorenzo RJ, Towne AR, Pellock JM, Ko D. Status epilepticus in children, adults, and the elderly. Epilepsia. (1992) 33(Suppl 4):S15–25. doi: 10.1111/j.1528-1157.1992.tb06223.x

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Sutter R, Tschudin-Sutter S, Grize L, Fuhr P, Bonten MJ, Widmer AF, et al. Associations between infections and clinical outcome parameters in status epilepticus: a retrospective 5-year cohort study. Epilepsia. (2012) 53:1489–97. doi: 10.1111/j.1528-1167.2012.03576.x

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Strzelczyk A, Knake S, Oertel WH, Rosenow F, Hamer HM. Inpatient treatment costs of status epilepticus in adults in Germany. Seizure. (2013) 22:882–5. doi: 10.1016/j.seizure.2013.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Begley CE, Durgin TL. The direct cost of epilepsy in the United States: a systematic review of estimates. Epilepsia. (2015) 56:1376–87. doi: 10.1111/epi.13084

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Rapoport J, Teres D, Zhao Y, Lemeshow S. Length of stay data as a guide to hospital economic performance for ICU patients. Med Care. (2003) 41:386–97. doi: 10.1097/01.MLR.0000053021.93198.96

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Moerer O, Plock E, Mgbor U, Schmid A, Schneider H, Wischnewsky MB, et al. A German national prevalence study on the cost of intensive care: an evaluation from 51 intensive care units. Crit Care. (2007) 11:R69. doi: 10.1186/cc5952

PubMed Abstract | CrossRef Full Text

63. Rubin PRRDB. The central role of the propensity score in observational studies for causal effects. Biometrika. (1983) 70:41–55. doi: 10.1093/biomet/70.1.41

CrossRef Full Text | Google Scholar

64. Shorvon S, Ferlisi M. The treatment of super-refractory status epilepticus: a critical review of available therapies and a clinical treatment protocol. Brain. (2011) 134(Pt 10):2802–18. doi: 10.1093/brain/awr215

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Ferlisi M, Shorvon S. The outcome of therapies in refractory and super-refractory convulsive status epilepticus and recommendations for therapy. Brain. (2012) 135(Pt 8):2314–28. doi: 10.1093/brain/aws091

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: carbapenem, valproic acid, drug-drug interaction, critical care outcome, status epilepticus, mortality, healthcare resource

Citation: Hsiao S-C, Lai W-H, Chen I-L and Shih F-Y (2023) Clinical impact of carbapenems in critically ill patients with valproic acid therapy: A propensity-matched analysis. Front. Neurol. 14:1069742. doi: 10.3389/fneur.2023.1069742

Received: 16 October 2022; Accepted: 30 January 2023;
Published: 09 March 2023.

Edited by:

Maenia Scarpino, Careggi University Hospital, Italy

Reviewed by:

Bahia Hakiki, IRCCS Don Carlo Gnocchi Firenze, Italy
Antonello Grippo, IRCCS Don Carlo Gnocchi Firenze, Italy

Copyright © 2023 Hsiao, Lai, Chen and Shih. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fu-Yuan Shih, 8902055@cgmh.org.tw; I-Ling Chen, iling10@cgmh.org.tw

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.