scholarly journals Evaluation of Natalizumab Pharmacokinetics and Pharmacodynamics: Toward Individualized Doses

2021 ◽  
Vol 12 ◽  
Author(s):  
Jose M. Serra López-Matencio ◽  
Yaiza Pérez García ◽  
Virginia Meca-Lallana ◽  
Raquel Juárez-Sánchez ◽  
Angeles Ursa ◽  
...  

Background: Plasma concentration of natalizumab falls above the therapeutic threshold in many patients who, therefore, receive more natalizumab than necessary and have higher risk of progressive multifocal leukoencephalopathy.Objective: To assess in a single study the individual and treatment characteristics that influence the pharmacokinetics and pharmacodynamics of natalizumab in multiple sclerosis (MS) patients in the real-world practice.Methods: Prospective observational study to analyse the impact of body weight, height, body surface area, body mass index, gender, age, treatment duration, and dosage scheme on natalizumab concentrations and the occupancy of α4-integrin receptor (RO) by natalizumab.Results: Natalizumab concentrations ranged from 0.72 to 67 μg/ml, and RO from 26 to 100%. Body mass index inversely associated with natalizumab concentration (beta = −1.78; p ≤ 0.001), as it did body weight (beta = −0.34; p = 0.001), but not height, body surface area, age or gender Extended vs. standard dose scheme, but not treatment duration, was inversely associated with natalizumab concentration (beta = −7.92; p = 0.016). Similar to natalizumab concentration, body mass index (beta = −1.39; p = 0.001) and weight (beta = −0.31; p = 0.001) inversely impacted RO. Finally, there was a strong direct linear correlation between serum concentrations and RO until 9 μg/ml (rho = 0.71; p = 0.003). Nevertheless, most patients had higher concentrations of natalizumab resulting in the saturation of the integrin.Conclusions: Body mass index and dosing interval are the main variables found to influence the pharmacology of natalizumab. Plasma concentration of natalizumab and/or RO are wide variable among patients and should be routinely measured to personalize treatment and, therefore, avoid either over and underdosing.

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3396-3396
Author(s):  
Jonathan D. Paolino ◽  
Yael Flamand ◽  
Kristen E. Stevenson ◽  
Victoria Koch ◽  
Uma H. Athale ◽  
...  

Abstract Introduction: Increased toxicity with pegaspargase (PEG) in older and higher body mass index (BMI) patients (pts) with acute lymphoblastic leukemia (ALL) has recently led to dose capping practices. We assessed the influence of age, body surface area (BSA), and BMI on PEG-related toxicity and pharmacokinetics from two consecutive DFCI ALL Consortium trials without dose capping. Methods: Patient (pts) aged 1 to <19 years (DFCI 05-001) or 1 to <22 years (DFCI 11-001) with newly diagnosed ALL were eligible for enrollment. Those who received PEG (2500 IU/m 2) were included in this analysis. Pts received 1 dose of IV PEG on day 7 of Induction and every 2 weeks for 15 doses post-induction. Serum asparaginase activity (SAA), considered therapeutic at >0.1 IU/mL, was assessed 4, 11, 18, and 25 days after the Induction dose and nadir SAA was assessed before each Post-Induction dose. Asparaginase-related toxicities were prospectively assessed and graded by CTCAE version 3.0 (DFCI 05-001) or 4.0 (DFCI 11-001). Asparaginase toxicity for this analysis was defined as ≥1 of the following: pancreatitis, thrombosis, ≥grade 4 hyperbilirubinemia, ≥grade 4 hypertriglyceridemia. Allergy was analyzed separately (due to presumed dose independence). Height and weight at diagnosis were used for analyses. BMI categories were assigned using standard percentile ranges based on gender specific 2000 CDC growth charts. BSA was calculated using the Mosteller formula. Univariate analyses evaluated the relationship of age, BMI, and BSA with asparaginase toxicity. Comparisons of toxicity across BMI and BSA categories were performed using a Jonckheere-Terpstra test. Categorical comparisons for dichotomized BMI and BSA utilized a Fisher's exact test or chi square test. The relationships between BMI and BSA with toxicity were explored using multivariable models. Results: Between 4/2005-12/2011 802 pts enrolled on DFCI 05-001 and between 6/2012-6/2015 240 pts enrolled on DFCI 11-001. Both trials included random assignment of asparaginase formulation. In total 911 patients received pegaspargase during Induction and 351 during Post-Induction. During Induction, pts ≥15 years of age had higher asparaginase toxicity rates (17.1% vs 6.2%, p=0.0003) (Figure 1a). Toxicity differed significantly across BSA categories (<1.5 m 2, 1.5 to <2.0 m 2, ≥2.0 m 2, p= 0.007) with increased toxicity in those with BSA ≥2.0m 2 (22.7% vs. 6.8% for those <2.0 m 2, p = 0.016) (Figure 1b). Age was highly correlated with BSA (Pearson r = 0.93, p <0.0001). There was numerically higher toxicity in the BMI category of overweight vs. those underweight or normal weight (11.3% vs 6.5%) however this did not extend to the obese category, and overall, increasing BMI was not associated with statistically higher toxicity (p= 0.13, Figure 1c). Post-Induction, age ≥15 years was associated with increased asparaginase toxicity (57.1% vs 21%, p<0.0001) (Figure 1d). Toxicity differed significantly across BSA categories (p<0.0001) but was similar between BMI categories (p=0.19, Figure 1e-f). The impact of BSA was observed when dichotomized at thresholds of 1.5m 2 (54% vs. 19%, p<0.0001) and 2.0m 2 (70% vs. 23%, p=0.003) (Figure 1e). Considering only those ≥10 years of age, trends for BSA/BMI and toxicity were similar. There was no significant association between BMI or BSA and allergy. In multivariable analysis, BSA was a significant predictor of Post-Induction toxicity (OR 4.21, p<0.0001). Age was significant in the univariate setting (OR 1.14, p<0.0001) however due to high correlation with BSA, was not included with BSA in the multivariable model. Post-Induction, median nadir SAA levels were ≥0.1IU/mL for all BSA and age categories. Median SAA was similar or lower at all time-points for those ≥15 years of age compared with younger children. Median SAA for pts with BSA ≥1.5m 2 were similar or lower compared to those with BSA <1.5m 2 (Figure 2a-d). Conclusion: Age ≥15 years and BSA ≥2m 2 were each associated with significantly increased asparaginase toxicity. Older patients and those with higher BSA had similar or lower median SAA levels at all time-points. These results suggest that the differential toxicity seen in older patients and those with higher BSA is not explained by these patients having higher SAA levels. Prospective exploration of interventions to decrease toxicity in older patients and those with high BSA are needed. Figure 1 Figure 1. Disclosures Neuberg: Madrigal Pharmaceuticals: Other: Stock ownership; Pharmacyclics: Research Funding. Silverman: Takeda, Servier, Syndax, Jazz Pharmaceuticals: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees.


2010 ◽  
Vol 64 (4) ◽  
pp. 358-362 ◽  
Author(s):  
Kezia Gaitskell ◽  
Rafael Perera ◽  
Elizabeth J Soilleux

As body weights and body mass indices have increased over time, we questioned the validity of correlating heart weight with body weight and whether tables from previous decades remain relevant. We investigated this by collecting details of heart weight, body weight, height, gender and age from 384 autopsy cases with no obvious heart or lung disease. Heart weights, body weights and heights showed a normal distribution for both genders. Heart weight correlated slightly better with body surface area than body weight and we present new reference charts derived from these data. The correlation between heart weight and body weight has changed little, despite increases in body weight and body mass index. As life expectancy is increasing, we investigated the effect of age on heart weight and demonstrated a small increase in heart weight relative to body surface area for both genders, in contrast to a previous study.


2008 ◽  
Vol 190 (3) ◽  
pp. 777-784 ◽  
Author(s):  
Kyongtae T. Bae ◽  
Brian A. Seeck ◽  
Charles F. Hildebolt ◽  
Cheng Tao ◽  
Fang Zhu ◽  
...  

2012 ◽  
Vol 44 (2) ◽  
pp. 203-210 ◽  
Author(s):  
Sina Alipour ◽  
Hagen F. Kennecke ◽  
Ryan Woods ◽  
Howard J. Lim ◽  
Caroline Speers ◽  
...  

2019 ◽  
Author(s):  
Longbao Yang ◽  
Gang Zhao ◽  
Xinxing Tantai ◽  
Cailan Xiao ◽  
Caifeng Yang ◽  
...  

Abstract BACKGROUNDThe liver volume and spleen volum are useful index for cirrhosis patients with esphageal varices. But the calculation of the volume is time-consuming and boring. To solve the problem, we successfully established the liver and spleen volume formula using the body surface area. We compared the liver volume formula with other four formulas, which be proved with highest accuracy and lowest error. Until now, except for the new spleen volume formula in the research, there are few reports about it.AIMTo obtain a reference range of morphological indices, and to establish a formula to accurately predict the standard liver and spleen volumes in Chinese adults.METHODSComputed tomography was used to calculate the estimated total liver volume and spleen volume of 305 Chinese adults without any diseases which could influence the volumes of these two organs. Gender, age, body height, body weight, body surface area and body mass index were determined. Correlation analysis and step-wise multiple linear regression analysis were performed to evaluate the impact of each parameter on the liver and spleen volumes, and then a formula to predict the liver and spleen volumes was established. Finally, the results obtained with the new liver volume formula with existing formulas in a validation group were compared.RESULTSThe average liver and spleen volume values were 1043.18 ± 244.60 cm3 and 175.07 ± 88.15 cm3, respectively. Age, body height, body weight, body surface area and body mass index were significantly correlated with liver and spleen volume. Body surface area showed the strongest correlation with liver volume and spleen volume( p<0.005 and p<0.001). Based on these results, new formulas to calculate the standard liver volume and standard spleen volume were established.CONCLUSIONSCompared the new liver volume formula with the existing formula, it is found that the new liver volume is more accurate. And the accuracy of the spleen volume formula is acceptable. Core tip: To solve the problem of time-consuming and boring in calculating the liver and spleen volume, we successfully established the liver and spleen volume formula can be used in Chinese adult. Though there are some reports about the liver volume, but it is different in spleen volume. The liver volume and spleen volume radio is an useful index to predict the esophageal varices and bleeding risk for cirrhosis patients. Only liver volume formula is not enough, the finding of the spleen volume is very meaningful.


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