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In population pharmacokinetic (PK) models, interindividual variability is explained by implementation of covariates in the model. The widely used forward stepwise selection method is sensitive to bias, which may lead to an incorrect inclusion of covariates. Alternatives, such as the full fixed effects model, reduce this bias but are dependent on the chosen implementation of each covariate. As the correct functional forms are unknown, this may still lead to an inaccurate selection of covariates. Machine learning (ML) techniques can potentially be used to learn the optimal functional forms for implementing covariates directly from data. A recent study suggested that using ML resulted in an improved selection of influential covariates. However, how do we select the appropriate functional form for including these covariates? In this work, we use SHapley Additive exPlanations (SHAP) to infer the relationship between covariates and PK parameters from ML models. As a case‐study, we use data from 119 patients with hemophilia A receiving clotting factor VIII concentrate peri‐operatively. We fit both a random forest and a XGBoost model to predict empirical Bayes estimated clearance and central volume from a base nonlinear mixed effects model. Next, we show that SHAP reveals covariate relationships which match previous findings. In addition, we can reveal subtle effects arising from combinations of covariates difficult to obtain using other methods of covariate analysis. We conclude that the proposed method can be used to extend ML‐based covariate selection, and holds potential as a complete full model alternative to classical covariate analyses. [ABSTRACT FROM AUTHOR]

Nonlinear mixed effect (NLME) models are the gold standard for the analysis of patient response following drug exposure. However, these types of models are complex and time‐consuming to develop. There is great interest in the adoption of machine‐learning methods, but most implementations cannot be reliably extrapolated to treatment strategies outside of the training data. In order to solve this problem, we propose the deep compartment model (DCM), a combination of neural networks and ordinary differential equations. Using simulated datasets of different sizes, we show that our model remains accurate when training on small data sets. Furthermore, using a real‐world data set of patients with hemophilia A receiving factor VIII concentrate while undergoing surgery, we show that our model more accurately predicts a priori drug concentrations compared to a previous NLME model. In addition, we show that our model correctly describes the changing drug concentration over time. By adopting pharmacokinetic principles, the DCM allows for simulation of different treatment strategies and enables therapeutic drug monitoring. [ABSTRACT FROM AUTHOR]

Patients with SLE are often young females of childbearing age and a pregnancy wish in this patient group is common. However, SLE patients are at high risk for adverse pregnancy outcomes that require adequate guidance. It is widely acknowledged that pre-pregnancy counselling is the pivotal first step in the management of SLE patients with a wish to become pregnant. Next, management of these patients is usually multidisciplinary and often requires specific expertise from the different physicians involved. Very recently a EULAR recommendation was published emphasizing the need for adequate preconception counselling and risk stratification. Therefore the present review specifically addresses the issue of pre-pregnancy counselling for SLE patients with an evidence-based approach. The review summarizes data retrieved from recently published, high-quality cohort studies that have contributed to a better understanding and estimation of pregnancy-related risks for SLE patients. The present review categorizes risks from a patient-oriented point of view, that is, the influence of pregnancy on SLE, of SLE on pregnancy, of SLE on the foetus/neonate and of SLE-related medication. Lastly, pre-pregnancy counselling of SLE patients with additional secondary APS is reviewed. Collectively these data can guide clinicians to formulate appropriate preventive strategies and patient-tailored monitoring plans during pre-pregnancy counselling of SLE patients. [ABSTRACT FROM AUTHOR]

The anti-factor Xa assay is designed to measure plasma low-molecular-weight heparin (LMWH) levels and to monitor heparin therapy. Notably, the results of anti-factor Xa testing cannot be used in the same way as the International Normalized Ratio (INR) is used to guide cumarin treatment: dose adjustments to remain in the therapeutic range have not been shown to be associated with better outcomes of care and lower rates of thrombotic and/or bleeding complications. The anti-factor Xa activity should therefore only be assessed in cases of considerable concern regarding an LWMH under- or overdosis. It is reasonable to lower the LMWH dose in case of a supratherapeutic anti-factor Xa activity. Increasing the LMWH dose in case of a subtherapeutic anti-factor Xa activity should however only be considered in case of morbid obesity or in the setting of breakthrough thrombosis in patients receiving therapeutic dosed LMWH, as long as the anti-factor Xa activity remains below the upper-level of the recommend range.

Background: In recent years, more awareness is raised about sex-specific dilemmas in inherited bleeding disorders. However, no large studies have been performed to assess differences in diagnosis, bleeding phenotype and management of men and women with bleeding disorders. Therefore, we investigated sex differences in a large cohort of well-defined patients with autosomal inherited bleeding disorders (von Willebrand disease (VWD), rare bleeding disorders (RBDs) and congenital platelet defects (CPDs))., Methods: We included patients from three nationwide cross-sectional studies on VWD, RBDs and CPDs in the Netherlands, respectively the WiN, RBiN and TiN study. In all studies a bleeding score (BS) was obtained, and patients filled in an extensive questionnaire on the management and burden of their disorder., Findings: We included 1092 patients (834 VWD; 196 RBD; 62 CPD), of whom 665 (60.9%) were women. Women were more often referred because of a bleeding diathesis than men (47.9% vs 36.6%, p  = 0.002). Age of first bleeding was similar between men and women, respectively 8.9 ± 13.6 (mean ±sd) years and 10.6 ± 11.3 years ( p  = 0.075). However, the diagnostic delay, which was defined as time from first bleeding to diagnosis, was longer in women (11.6 ± 16.4 years) than men (7.7 ± 16.6 years, p  = 0.002). Similar results were found when patients referred for bleeding were analyzed separately. Of women aging 12 years or older, 469 (77.1%) had received treatment because of sex-specific bleeding., Interpretation: Women with autosomal inherited bleeding disorders are more often referred for bleeding, have a longer diagnostic delay, and often require treatment because of sex-specific bleeding., Funding: The WiN study was supported (in part) by research funding from the Dutch Hemophilia Foundation (Stichting Haemophilia), Shire (Takeda), and CSL Behring (unrestricted grant)., Competing Interests: F. Atiq received the CSL Behring-professor Heimburger Award 2018 and a travel grant from Sobi. J.L. Saes and S.E.M. Schols received travel support from Bayer, Takeda and Sobi. F.W.G. Leebeek received research support from CSL Behring and Shire/Takeda for performing the Willebrand in the Netherlands (WiN) study, and from UniQure and Sobi for other studies. He is consultant for UniQure, Novo Nordisk, BioMarin and Shire/Takeda, of which the fees go to the institution, and has received a travel grant from Sobi. He is also a DSMB member for a study by Roche. H.C.J. Eikenboom received research support from CSL Behring and he has been a teacher on educational activities of Roche. K.P.M. van Galen received unrestricted research support from CSL Behring and Bayer and speakers fee from Takeda, CSL Behring and Bayer. J.G. van der Bom has been a teacher on educational activities of Bayer. M.H. Cnossen has received grants from governmental research institutes, such as the Dutch Research institute (NOW), ZonMW, Innovation fund, NWO-NWA and unrestricted investigator initiated research grants as well as educational and travel funding from various companies over the years (Pfizer, Baxter/Baxalta/Shire, Bayer Schering Pharma, CSL Behring, Sobi Biogen, novo Nordisk, Novartis and Nordic Pharma), and has served as a member on steering boards of Roche and Bayer. All grants, awards and fees go to the Erasmus MC as an institution. The institution of K. Fijnvandraat has received unrestricted research grants from CSL Behring, Sobi and NovoNordisk and her institution received consultancy fees from Grifols, Takeda, Novo Nordisk and Roche. K. Meijer received research support from Bayer, Sanquin and Pfizer; speaker fees from Bayer, Sanquin, Boehringer Ingelheim, BMS and Aspen; consulting fees from Uniqure, of which all fees go to the institution. B.A.P. Laros‐van Gorkom has received unrestricted educational grants from Baxter and CSL Behring. M.J.H.A. Kruip received grants from governmental research institutes, such as the Dutch Research institute (ZonMW/NWO), Dutch Thrombosis Foundation, Innovation fund, unrestricted grants from Bayer, Pfizer, Daiichi Sankyo, Sobi and Boehringer Ingelheim and speakers fee from Bayer. R.E.G. Schutgens received grants from Bayer, grants from Baxalta, Pfizer, NovoNordisk. The institution of M. Peters received an unrestricted research grant from Pfizer. F.J.M. van der Meer received grants from CSL Behring, Pfizer, Bayer, Novo Nordisk, Sobi, Roche, and OctaPharma. W.L. van Heerde reports speaker and consultant and travel fees from Takeda, Bayer, CSL Behring, and Sobi. He is also founder and co-owner of Enzyre. None of the other authors has a conflict of interest to declare., (© 2021 The Authors.)

Introduction: Microparticles (MPs) carrying active tissue factor (TF) have been detected in the plasma of cancer patients in particular in those presenting with acute deep vein thrombosis (DVT) or pulmonary embolism (PE). Experimental studies in mice have revealed that circulating MPs carrying TF contribute to thrombus formation., Aim: To study whether unselected patients with an acute confirmed PE have elevated TF activity in the MP fraction (MP-TF activity)., Materials and Methods: Plasma MP-TF activity was measured in 159 non-selected patients with clinically suspected PE and in 48 healthy controls as previously described. Blood was collected at time of inclusion. The diagnosis of acute PE was confirmed in 54 patients and excluded in 105 patients., Results: Median MP-TF activity in 159 patients with clinically suspected PE was 72 fM Xa/min [range 32-6657] fM Xa/min and higher than in healthy controls (66 [range 28-183] fM Xa/min; P<0.05). There was no significant difference (P=0.169) in MP-TF activity between patients with confirmed PE (median 84.5 fM Xa/min [range 36-2149]) and patients without PE (72 fM Xa/min [range 32-6657]) fM Xa/min). In the 159 patients with clinically suspected PE we observed in an exploratory analysis higher MP-TF activity levels in patients with active cancer (median 137 fM Xa/min [range 36-6657]) and cardiovascular disease (median 131.5 fM Xa/min [range 45-2149]) than in patients without these disorders (P=0.0004 and P=0.014, respectively)., Conclusion: In patients presenting with clinically suspected PE plasma MP-TF activity was not associated with confirmed PE., (Copyright © 2010 Elsevier B.V. All rights reserved.)

Several case-control studies have shown that factor VIII levels > or = 150 IU/100 ml lead to a greatly increased risk of venous thrombosis. High levels of factor VIII are also associated with an increased risk of recurrences of thrombosis. The prevalence of high factor VIII levels is 25% in patients with a first episode of venous thrombosis and 11% among healthy controls. The contribution of high factor VIII levels to the onset of venous thrombosis in the population is 16%. The mechanism causing high factor VIII levels is largely unknown and probably consists of both genetic and acquired factors. At present, the routine screening of thrombosis patients for high factor VIII levels is not recommended.

Two women aged 84 and 86 years developed hypothermia after use of pipamperone. In one of the patients repeated administration of pipamperone again induced a decrease of body temperature. Although other clinical and environmental factors may have contributed to the development of hypothermia, a causal relationship between the use of pipamperone and the fall in body temperature appears likely considering the close temporal relationship. Hypothermia has been documented as a side effect of neuroleptics, especially phenothiazines, but it has not been reported in relation to pipamperone. Hypothermia is a potentially lethal condition; the cases described confirm the necessity of being careful with use of neuroleptics in elderly people.