Background: Urate nephropathy is a rare cause of acute kidney injury. Although most risk factors are associated with chemotherapy, tumor lysis syndrome or rhabdomyolysis, occurrence following severe seizure has also been reported. Uric acid measurement following convulsion is rarely performed and, therefore, the incidence of hyperuricemia in this context is unknown. Objective: The objective is to present a case of urate nephropathy following generalized tonic-clonic seizure (GTCS) and to investigate the kinetics of serum uric acid and creatinine levels in a series of patients admitted for severe seizures. Design: Retrospective case report and prospective case series. Setting: Emergency room department and neurology unit of a tertiary care hospital. Patients: The study included 13 hospitalized patients for severe GTCS. Measurements: Type, timing, and duration of seizure episodes were documented. Demographic data, weight, hypouricemic therapy, and baseline serum creatinine were recorded. Blood samples (uric acid, creatinine, blood gas, lactate, and creatinine kinase) and urine samples (uric acid, creatinine, and dipstick) were prospectively collected at Day 0, 1, 2, and 3 following the GTCS episode. Methods: We identified and described one rare case of urate nephropathy following GTCS. Then, we presented the kinetic of uric acid and creatinine levels and the acute kidney injury incidence over the follow-up period. All analyses were using descriptive statistics. Results: During the study period, 13 patients with a median tonic-clonic seizure duration of 5.0 minutes (interquartile range [IQR], 2.0–12.5) were included. From day 0 to day 3, the median serum uric acid level decreased from 346.0 µmol/L (IQR, 155.0–377.5) to 178.0 µmol/L (IQR, 140.0–297.5) and median serum creatinine from 73.0 µmol/L (IQR, 51.0–80.0) to 57.0 µmol/L (IQR, 44.0–70.0). Acute kidney injury occurred in four patients. Limitations: This is a single-center observational study with small sample size, which does not allow us to demonstrate causality between the increase of uric acid levels observed and the occurrence of acute kidney injury. A delay between the first sampling and seizure episodes was observed and could explain the limited increase of uric acid levels captured. Conclusions: There is a signal for an acute increase of uric acid levels following a severe seizure before returning to baseline within 3 days. During that period, there might be an increased risk of acute kidney injury, although these changes seem to be usually mild and reversible. Our findings suggest that routine serum uric acid measurement in patients presenting with GTCS could help to identify those patients at risk of developing acute kidney injury as a result of acute hyperuricemia. Further larger studies are required to confirm the effectiveness of such screening in acute kidney injury prevention. Trial Registration: As an observational noninterventional study, no registration was required.
A physiologically based toxicokinetic model was used to examine the impact of work load on the relationship between the airborne concentrations and exposure indicator levels of two industrial solvents, toluene and n-Hexane. The authors simulated occupational exposure (8 hr/day, 5 days/week) at different concentrations, notably 20 ppm and 50 ppm, which are the current threshold limit values recommended by ACGIH for toluene and n-hexane, respectively. Different levels of physical activity, namely, rest, 25 W, and 50 W (for 12 hr followed by 12 hr at rest) were simulated to assess the impact of work load on the recommended biological exposure indices: toluene in blood prior to the last shift of the workweek, urinary o-cresol (a metabolite of toluene) at the end of the shift, and free (nonhydrolyzed) 2,5-hexanedione (a metabolite of n-hexane) at the end of the shift at the end of the workweek. In addition, urinary excretion of unchanged toluene was simulated. The predicted biological concentrations were compared with the results of both experimental studies among human volunteers and field studies among workers. The highest predicted increase with physical exercise was noted for toluene in blood (39 microg/L at 50 W vs. 14 microg/L at rest for 20 ppm, i.e., a 2.8-fold increase). The end-of-shift urinary concentrations of o-cresol and toluene were two times higher at 50 W than at rest (for 20 ppm, 0.65 vs. 0.33 mg/L for o-cresol and 43 vs. 21 microg/L for toluene). Urinary 2,5-hexanedione predicted for 50 ppm was 1.07 mg/L at 50 W and 0.92 mg/L at rest (+16%). The simulations that best describe the concentrations among workers exposed to toluene are those corresponding to 25 W or less. In conclusion, toxicokinetic modeling confirms the significant impact of work load on toluene exposure indicators, whereas only a very slight effect is noted on n-hexane kinetics. These results highlight the necessity of taking work load into account in risk assessment relative to toluene exposure.
IntroductionMechanisms underlying sudden unexpected death in epilepsy (SUDEP) are unclear, but autonomic disorders are thought to play a critical role. However, those dysfunctions have mainly been reported in the peri-ictal context of generalized tonic–clonic seizures. Here, we explored whether heart rate variability (HRV), heart rate (HR), and breathing rate (BR) changes could be observed perictally during focal seizures with or without impaired awareness as well as interictally to assess the risk of SUDEP. We report the case of a 33-year-old patient with drug-resistant bilateral temporal lobe epilepsy who died at home probably from an unwitnessed nocturnal seizure (“probable SUDEP”).MethodsIctal and interictal HRV as well as postictal cardiorespiratory analyses were conducted to assess autonomic functions and overall SUDEP risk. The SUDEP patient was compared to two living male patients from our local database matched for age, sex, and location of the epileptic focus.ResultsInterictal HRV analysis showed that all sleep HRV parameters and most awake HRV parameters of the SUDEP patient were significantly lower than those of our two control subjects with bitemporal lobe epilepsy without SUDEP (p < 0.01). In two focal with impaired awareness seizures (FIAS) of the SUDEP patient, increased postictal mean HR and reduced preictal mean high frequency signals (HF), known markers of increased seizure severity in convulsive seizures, were seen postictally. Furthermore, important autonomic instability and hypersensitivity were seen through fluctuations in LF/HF ratio following two seizures of the SUDEP patient, with a rapid transition between sympathetic and parasympathetic activity. In addition, a combination of severe hypopnea (202 s) and bradycardia (10 s), illustrating autonomic dysfunction, was found after one of the SUDEP patient’s FIAS.DiscussionThe unusual cardiorespiratory and HRV patterns found in this case indicated autonomic abnormalities that were possibly predictive of an increased risk of SUDEP. It will be interesting to perform similar analyses in other SUDEP cases to see whether our findings are anecdotal or instead suggestive of reliable biomarkers of high SUDEP risk in focal epilepsy, in particular focal with or without impaired awareness seizures.
Epilepsy is a chronic neuronal disorder affecting ~65 millions people throughout the world. 1/3 of patients suffer from drug-resistant epilepsy (DRE). Objective to assess the relationship between different Th17 markers and the clinical course of epilepsy to uncover new potential immune biomarkers and therapeutic targets of interest for DRE. Approach Subjects between 19–55 years old with a focal diagnosed epilepsy were recruited at the CHUM epilepsy clinic. The profile of peripheral blood T lymphocytes from DRE patients (n=48) is compared to well-controlled epilepsy (WCE; n=30) and healthy controls (n=35). Peripheral blood mononuclear cells (PBMCs) were isolated by gradient density centrifugation before ex vivo analysis of surface markers (flow cytometry). Total CD4 T lymphocytes were magnetically isolated from PBMCs and stimulated overnight before analysis of cytokine expression or processed for RNA extraction before analysis of transcription factors expression by qRT-PCR. Results Our data suggest that antiepileptic drugs are associated with a relative ‘immunosuppression’, more pronounced in WCE. Epilepsy is associated with an altered distribution of immune cell populations with a higher CD4:CD8 ratio. A higher proportion of CD4 T lymphocytes from DRE subjects express CCR6 and CD161 compared to WCE. The proportion of CD4 T cells expressing pro-inflammatory cytokines from Th17/1 lineage (IL-17A, IL-22, IFN-γ, GM-CSF, TNFα) is higher in DRE than WCE, while anti-inflammatory cytokines (IL-4, IL-10) tend to be lower. Conclusion Our preliminary results suggest an increased frequency of pro-inflammatory Th17/1 lymphocytes and their related cytokines in DRE. Pro-inflammatory CD4 T cells could play a role in DRE.
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