Flowchart for predicting achieving the target area under the concentration-time curve of vancomycin in critically ill Japanese patients: A multicenter retrospective study.

INTRODUCTION: In therapeutic drug monitoring (TDM) of vancomycin (VCM), the area under the concentration-time curve (AUC) is related to the clinical efficacy and toxicity. Therefore, herein, we examined the factors associated with achieving the target AUC at follow-up and developed a decision flowchart for achieving the target AUC in critically ill patients. METHODS: This multicenter retrospective observational study was conducted at eight hospitals. We retrospectively analyzed data from patients who had received VCM in the intensive care unit from January 2020 to December 2022. Decision-tree (DT) analysis was performed using factors with p < 0.1 in univariate analysis as the independent variables. Case data were split up to two times, and four subgroups were included. The primary endpoint was achieving the target AUC at the follow-up TDM (AUCfollow-up) and target AUCfollow-up achievement was defined as an AUC of 400-600 µg‧h/mL. The initial AUC values were calculated with the 2-point concentrations (peak and trough) using the Bayesian estimation software Practical AUC-guided TDM (PAT). RESULTS: Among 70 patients (median age [interquartile range], 66 [56, 79] years; 50 % women), the AUCfollow-up was achieved in 70 % (49/70). Three factors were selected for the decision flow chart: predicted AUCfollow-up of 400-600 µg‧h/mL, dosing at 12-h intervals, and CCr of 130 mL/min/1.73 m2 or higher; the accuracy was adequate (92 %, R2 0.52). CONCLUSION: We successfully identified the factors associated with achieving the target AUC of VCM at follow-up TDM and developed a simple-to-use DT model. However, the validity of the findings needs to be evaluated.

Effect of renal clearance on vancomycin area under the concentration-time curve deviations in critically ill patients.

INTRODUCTION: Augmented renal clearance (ARC) increases vancomycin (VCM) clearance. Therefore, higher VCM doses are recommended in patients with ARC; however, impacts of ARC on the area under the concentration-time curve (AUC) discrepancies between initial dosing design and therapeutic drug monitoring (TDM) period remains unclear. METHODS: We retrospectively collected data from critically ill patients treated with VCM. The primary endpoint was the association between ARC and AUC24-48h deviations. ARC and AUC deviation were defined as a serum creatinine clearance (CCr) ≥130 mL/min/1.73 m2 and an AUC at TDM 30% or more higher than the AUC at the initial dosing design, respectively. The pharmacokinetic profiles of VCM were analyzed with the trough levels or peak/trough levels using the Bayesian estimation software Practical AUC-guided TDM (PAT). RESULTS: Among 141 patients (median [IQR]; 66 [58-74] years old; 30% women), 35 (25%) had ARC. AUC deviations were significantly more frequent in the ARC group than in the non-ARC group (20/35 [57.1%] and 17/106 [16.0%] patients, respectively, p < 0.001). Age- and sex-adjusted multivariate analyses revealed that the number of VCM doses before TDM ≥5 (odds ratio, 2.56; 95% confidence interval [CI]: 1.01-6.44, p = 0.047) and CCr ≥130 mL/min/1.73 m2 were significantly associated with AUC deviations (odds ratio, 7.86; 95%CI: 2.91-21.19, p < 0.001). CONCLUSION: Our study clarifies that the AUC of VCM in patients with ARC is higher at the time of TDM than at the time of dosage design.

Comparison of the Treatment Persistence Among 4 Direct Oral Anticoagulants in Patients With Nonvalvular Atrial Fibrillation: A 5-Year Retrospective Cohort Study.

Four direct oral anticoagulants (DOACs) are used in Japan (edoxaban, rivaroxaban, apixaban, and dabigatran); however, few studies have examined the long-term treatment persistence of these DOACs. Furthermore, the factors associated with persistence remain unclear. This single-center, retrospective cohort study enrolled participants who were newly prescribed the 4 DOACs between January 1, 2012, and April 30, 2020. We assessed the treatment persistence rate by calculating the cumulative incidence rate of prescription switch or discontinuation for 5 years from the initial prescription. The factors associated with persistence were examined using multivariate analysis. The edoxaban was used as a reference for comparison with the other DOACs. The persistence rate at 5 years was 52.9% for all DOACs, including 67.0%, 51.6%, 50.2%, and 37.0% for edoxaban, rivaroxaban, apixaban, and dabigatran, respectively. Multivariate analysis revealed that age >65 years (hazard ratio [HR], 0.62 [95%CI, 0.41-0.93]), chronic kidney disease (HR, 1.63 [95%CI, 1.11-2.39]), baseline hemoglobin (HR, 0.85 [95%CI, 0.78-0.93]), diabetes mellitus (HR, 0.51 [95%CI, 0.29-0.93]), and type of DOACs (rivaroxaban: HR, 1.81 [95%CI, 1.03-3.18]; apixaban: HR, 2.00 [95%CI, 1.15-3.48]; and dabigatran: HR, 2.84 [95%CI, 1.66-4.86]) were significantly associated with nonpersistence at 1 year. At 5 years, diabetes mellitus (HR, 0.60 [95%CI, 0.37-0.97]) and type of DOAC were significantly associated with nonpersistence (rivaroxaban: HR, 1.79 [95%CI, 1.09-2.94]; apixaban: HR, 2.04 [95%CI, 1.26-3.31]; and dabigatran: HR, 2.76 [1.73-4.42]). Long-term treatment persistence differed according to the type of DOAC, with edoxaban exhibiting the highest level of persistence. The factors associated with persistence may change over the treatment course, but larger studies are required to generalize our findings.

Utility of a Score for Predicting Glomerular Filtration Rate Overestimation in Patients with Cardiovascular and Renal Diseases and Their Risk Factors.

Objective We recently reported a novel score for the detection of glomerular filtration rate (GFR) overestimation using a creatinine-based equation. We examined the utility of this score in patients with cardiovascular/renal diseases and diabetes mellitus. Methods We enrolled 1,425 patients (65±15 years old; 37% women) who were admitted to our hospital for the management of cardiovascular and renal diseases and their risk factors. Overestimation of the GFR (OE) was defined as a creatinine-based GFR (eGFRcre) ≥120% of the cystatin C-based estimated GFR. The OE score was calculated as the sum of the scores for the body weight, hemoglobin concentration, and blood urea nitrogen (BUN)/serum creatinine (Scr), totaling 1 point if the body weight was <63.0 kg in men or <42.0 kg in women, 1 point if the hemoglobin concentration was <12.4 g/dL in men or <11.0 g/dL in women, and 1 point if the BUN/Scr was >26.5. Results The proportion of patients with OE was 14.2%. The score predicted OE with a sensitivity of 70.8% and a specificity of 99.6%, and the sensitivity was increased in patients ≥75 years old (88.3%) and decreased in diabetics (58.6%). When patients were divided into subgroups by the total score, the frequencies of OE were 8% (59/754), 14% (72/502), 38% (58/151), and 72% (13/18) in patients with scores of 0, 1, 2, and 3, respectively. Conclusion The OE score is useful for detecting elderly cases of cardiovascular and renal diseases in which eGFRcre overestimates the GFR, although its utility is limited in diabetics.