Are Medicare's Nursing Home Compare Ratings Accurate Predictors of 90-Day Complications,Readmission, and Bundle Cost for Patients Undergoing Primary Total Joint Arthroplasty?

Background

Nursing Home Compare (NHC) ratings, created and maintained by Medicare, are used by both hospitals and consumers to aid in the skilled nursing facility (SNF) selection process. To date, no studies have linked NHC ratings to actual episode-based outcomes. The purpose of this study was to evaluate whether NHC ratings are valid predictors of 90-day complications, readmission, and bundle costs for patients discharged to an SNF after primary total joint arthroplasty (TJA).

Derivation and validation of a novel comorbidity‐based delirium risk index to predict postoperative delirium using national administrative healthcare database

ObjectiveTo derive and validate a comorbidity‐based delirium risk index (DRI) to predict postoperative delirium.Data Source/Study SettingData of 506 438 hip fracture repair surgeries from 2006 to 2016 were collected to derive DRI and perform internal validation from the Premier Healthcare Database, which provided billing information on 20‐25 percent of hospitalizations in the USA. Additionally, data of 1 130 569 knee arthroplasty surgeries were retrieved for external validation.Study DesignThirty‐six commonly seen comorbidities were evaluated by logistic regression with the outcome of postoperative delirium. The hip fracture repair surgery cohort was separated into a training dataset (60 percent) and an internal validation (40 percent) dataset. The least absolute shrinkage and selection operator (LASSO) procedure was applied for variable selection, and weights were assigned to selected comorbidities to quantify corresponding risks. The newly developed DRI was then compared to the Charlson‐Deyo Index for goodness‐of‐fit and predictive ability, using the Akaike information criterion (AIC), Bayesian information criterion (BIC), area under the ROC curve (AUC) for goodness‐of‐fit, and odds ratios for predictive performance. Additional internal validation was performed by splitting the data by four regions and in 4 randomly selected hospitals. External validation was conducted in patients with knee arthroplasty surgeries.Data CollectionHip fracture repair surgeries, knee arthroplasty surgeries, and comorbidities were identified by using ICD‐9 codes. Postoperative delirium was defined by using ICD‐9 codes and analyzing billing information for antipsychotics (specifically haloperidol, olanzapine, and quetiapine) typically recommended to treat delirium.Principal FindingsThe derived DRI includes 14 comorbidities and assigns comorbidities weights ranging from 1 to 6. The DRI outperformed the Charlson‐Deyo Comorbidity Index with better goodness‐of‐fit and predictive performance.ConclusionsDelirium risk index is a valid comorbidity index for covariate adjustment and risk prediction in the context of postoperative delirium. Future work is needed to test its performance in different patient populations and varying definitions of delirium.     

Optimization and Application of a Biotinylation Method for Quantification of Plasma Membrane Expression of Transporters in Cells

Quantitative proteomics, using LC-MS/MS, is increasingly used to quantify drug transporters present in tissues and cells. Most of these investigations quantify total transporter expression in the cells by utilizing a total membrane fraction, not only the plasma membrane. Here, we report development and optimization of a biotinylation method to quantify protein expression of transporters in the plasma membrane of cells. The Pierce cell surface isolation protocol was optimized for plasma membrane isolation. Incubation of OATP1B1-expressing CHO cells with 0.78 mg/mL of membrane impermeable biotinylation reagent (sulfo-NHS-SS-biotin) at 37°C for 1 h resulted in optimum isolation of the plasma membrane. Subsequently, the expression of transporters in the plasma membrane as a percent of the total was determined by quantitative proteomics using LC-MS/MS. Mean (±SD) plasma membrane expression of OATP1B1 in plated OATP1B1-expressing CHO, MDCKII, and HEK293 cells was found to be 79.7% (±4.7%), 67.7% (±12.2%), and 65.3% (±6.8%) of total cell OATP1B1 expression. Mean (±SD) plasma membrane expression of OATP1B3 in plated OATP1B3-expressing HEK293 cells, OATP2B1 in plated OATP2B1-expressing MDCKII cells, and sodium/taurocholate co-transporting polypeptide (NTCP) in plated NTCP-expressing CHO cells was 63.2% (±1.6%), 37.1% (±15.7%), and 71.7% (±1.2%), respectively. This method of quantifying transporter protein expression in the plasma membrane will be useful in the future to predict transporter-mediated drug disposition.     

Investigating the contribution of CYP2J2 to ritonavir metabolism in vitro and in vivo

Ritonavir, an HIV protease inhibitor, is successfully used for the prevention and treatment of HIV infections. Ritonavir pharmacokinetics are complicated by inhibition, induction and pharmacogenetics of cytochrome P450 (CYP) enzymes mediating its clearance. This investigation revealed that CYP2J2, along with CYP3A4/5 and CYP2D6, efficiently metabolizes ritonavir, and to a CYP2J2-specific (minor) metabolite. Chemical inhibition of ritonavir metabolism, clearance, K_I/k_inact and abundance of CYP2J2 in liver microsomes were evaluated and then applied to an in vitro–in vivo static scaling model to estimate the contribution of each isozyme, as a function of CYP abundance, activity, and genotype. Disposition of the CYP2J2-specific metabolite was also evaluated in vivo. In plasma, metabolite abundance was well above previously reported levels with circulating concentrations measured at 2 μM for the main hydroxylisopropyl metabolite. Ritonavir and metabolite plasma profiles were simulated using Simcyp^®. A modest (2–6%) contribution of CYP2J2 to ritonavir clearance is predicted which increases to more than 20% in subjects carrying CYP2D6 poor metabolizer polymorphisms and CYP3A4 irreversible inhibition. These results indicate that minor drug metabolizing enzymes could become quantitatively important in RTV clearance if main metabolic pathways are impeded.     

Breast cancer resistance protein 1 limits fetal distribution of nitrofurantoin in the pregnant mouse.

The efflux transporter, the breast cancer resistance protein (BCRP), is most abundantly expressed in the apical membrane of the placental syncytiotrophoblasts, indicating that it could play an important role in protecting the fetus by limiting xenobiotic/drug penetration across the placental barrier. In the present study, we examined whether Bcrp1, the murine homolog of human BCRP, limits fetal distribution of the model BCRP/Bcrp1 substrate, nitrofurantoin (NFT), in the pregnant mouse. NFT was administered i.v. to FVB wild-type and Bcrp1(-/-) pregnant mice. The maternal plasma samples and fetuses were collected at various times (5-60 min) after drug administration. The NFT concentrations in the maternal plasma samples and homogenates of fetal tissues were determined by a high-performance liquid chromatography/UV assay. Although the maternal plasma area under the concentration-time curve (AUC) of NFT in the Bcrp1(-/-) pregnant mice (97.4 +/- 10.0 microg . min/ml plasma) was only slightly (but significantly) higher than that in the wild-type pregnant mice (78.4 +/- 6.0 microg . min/ml plasma), the fetal AUC of NFT in the Bcrp1(-/-) pregnant mice (1493.0 +/- 235.3 ng . min/g of fetus) was approximately 5 times greater than that in the wild-type pregnant mice (298.6 +/- 77.4 ng . min/g of fetus). These results clearly suggest that Bcrp1 significantly limits fetal distribution of NFT in the pregnant mouse, but has only a minor effect on the systemic clearance of the drug.     

The role of transporters in drug interactions

Transport proteins play an important role in the adsorption, distribution and elimination of a wide variety of drugs. Therefore, it is not surprising that transporter-based drug interactions can occur in the clinic. These interactions can lead to changes in toxicity and/or efficacy of the affected drug. Here, we review such interactions and ask if these interactions could have been predicted from in vitro data. Conducting such in vitro–in vivo correlation is important for predicting future transporter-based drug interactions.     

Interactions of azole antifungal agents with the human breast cancer resistance protein (BCRP)

Breast cancer resistance protein (BCRP) is an efflux transporter that plays an important role in drug disposition. The goal of this study was to investigate the interactions of azole antifungal agents, ketoconazole, itraconazole, fluconazole, and voriconazole, with BCRP. First, the effect of the azoles on BCRP efflux activity in BCRP-overexpressing HEK cells was determined by measuring intracellular pheophorbide A (PhA) fluorescence using flow cytometry. We found that keotoconazole and itraconazole significantly inhibited BCRP-mediated efflux of PhA at low microM concentrations. However, fluconazole only mildly inhibited and voriconazole did not inhibit BCRP efflux activity at concentrations up to 100 microM. The IC(50) value of ketoconazole for inhibition of BCRP-mediated PhA efflux was 15.3 +/- 6.5 microM. Ketoconazole and itraconazole also effectively reversed BCRP-mediated resistance of HEK cells to topotecan. When direct efflux of [(3)H]ketoconazole was measured in BCRP-overexpressing HEK cells, we found that [(3)H]ketoconazole was not transported by BCRP. Consistent with this finding, BCRP did not confer resistance to ketoconazole and itraconazole in HEK cells. Taken together, ketoconazole and itraconazole are BCRP inhibitors, but fluconazole and voriconazole are not. These results suggest that BCRP could play a significant role in the pharmacokinetic interactions of ketoconazole or itraconazole with BCRP substrate drugs.     

Cyclosporin A, tacrolimus and sirolimus are potent inhibitors of the human breast cancer resistance protein (ABCG2) and reverse resistance to mitoxantrone and topotecan

Purpose: Several studies have demonstrated significant interactions between immunosuppressants (e.g., cyclosporin A) and chemotherapeutic drugs that are BCRP substrates (e.g., irinotecan), resulting in increased bioavailability and reduced clearance of these agents. One possible mechanism underlying this observation is that the immunosuppressants modulate the pharmacokinetics of these drugs by inhibiting BCRP. Therefore, the aim of this study was to determine whether the immunosuppressants cyclosporin A, tacrolimus and sirolimus are inhibitors and/or substrates of BCRP. Methods: First, the effect of the immunosuppressants on BCRP efflux activity in BCRP-expressing HEK cells was measured by flow cytometry. Results: Cyclosporin A, tacrolimus and sirolimus significantly inhibited BCRP-mediated efflux of pheophorbide A, mitoxantrone and BODIPY-prazosin. The EC₅₀ values of cyclosporin A, tacrolimus and sirolimus for inhibition of BCRP-mediated pheophorbide A efflux were 4.3±1.9 μM, 3.6±1.8 μM and 1.9±0.4 μM, respectively. Cyclosporin A, tacrolimus and sirolimus also effectively reversed resistance of HEK cells to topotecan and mitoxantrone conferred by BCRP. When direct efflux of cyclosporin A, tacrolimus and sirolimus was measured, these compounds were found not to be transported by BCRP. Consistent with this finding, BCRP did not confer resistance to the immunosuppressants in HEK cells. Conclusion: These results indicate that cyclosporin A, tacrolimus and sirolimus are effective inhibitors but not substrates of BCRP. These findings could explain the altered pharmacokinetics of BCRP substrate drugs when co-administered with the immunosuppressants and suggest that pharmacokinetic modulation by the immunosuppressants may improve the therapeutic outcome of these drugs. Grant support: We gratefully acknowledge financial support from NIH grant HD044404 (to QM and JDU) and VA Merit Review grant (to DDR)     

Electrophysiological characterization and modeling of the structure activity relationship of the human concentrative nucleoside transporter 3 (hCNT3)

We characterized the electrophysiology, kinetics, and quantitative structure-activity relationship (QSAR) of the human concentrative nucleoside transporter 3 (hCNT3) expressed in Xenopus laevis oocytes by measuring substrate-induced inward currents using a two-microelectrode voltage-clamp system. At membrane potentials between -30 and -150 mV, sodium activation of gemcitabine transport was sigmoidal, with a K0.5 of 8.5+/-0.3 mM for Na+ and a Hill coefficient of 2.2+/-0.25 independent of membrane potential. We measured the Imax and K0.5 for substrate at -50 mV for the nucleoside analog drugs gemcitabine (638+/-58 nA, 59.7+/-17.5 microM), ribavirin (546+/-37 nA, 61.0+/-13.2 microM), AZT (420+/-4 nA, 310+/-9 microM), and 3-deazauridine (506+/-30 nA, 50.8+/-9.90 microM). K0.5 and Imax for substrate were dependent on membrane potential (both increasing as the membrane became more hyperpolarized) for all four drugs. hCNT3 also exhibited pre-steady-state currents. The quantitative structure-activity relationship (QSAR) was examined using comparative molecular field analysis and comparative molecular similarity indices analysis of the inward currents induced by 27 nucleoside analogs with substitutions at both the ribose and the nucleobase. Two statistically significant QSAR models identified electrostatic interaction as the major force in hCNT3 transport and attributed a critical role to the 3'-hydroxyl position of hCNT3 substrates. Steric hindrance at the 3-position and positive charge at the 5-position of the pyrimidine ring were favorable for transport. Two hCNT3 pharmacophore models revealed the minimal features required for hCNT3 transport as two hydrogen bond acceptors at 3'-OH and 5'-O and the hydrophobic center occupied by the base ring.     

Contributions of human cytochrome P450 enzymes to glyburide metabolism

Glyburide (GLB) is a widely used oral sulfonylurea for the treatment of gestational diabetes. The therapeutic use of GLB is often complicated by a substantial inter‐individual variability in the pharmacokinetics and pharmacodynamics of the drug in human populations, which might be caused by inter‐individual variations in factors such as GLB metabolism. Therefore, there has been a continued interest in identifying human cytochrome P450 (CYP) isoforms that play a major role in the metabolism of GLB. However, contrasting data are available in the present literature in this regard. The present study systematically investigated the contributions of various human CYP isoforms (CYP3A4, CYP3A5, CYP2C8, CYP2C9 and CYP2C19) to in vitro metabolism of GLB. GLB depletion and metabolite formation in human liver microsomes were most significantly inhibited by the CYP3A inhibitor ketoconazole compared with the inhibitors of other CYP isoforms. Furthermore, multiple correlation analysis between GLB depletion and individual CYP activities was performed, demonstrating a significant correlation between GLB depletion and the CYP3A probe activity in 16 individual human liver microsomal preparations, but not between GLB depletion and the CYP2C19, CYP2C8 or CYP2C9 probe activity. By using recombinant supersomes overexpressing individual human CYP isoforms, it was found that GLB could be depleted by all the enzymes tested; however, the intrinsic clearance (V_max/K_m) of CYP3A4 for GLB depletion was 4–17 times greater than that of other CYP isoforms. These results confirm that human CYP3A4 is the major enzyme involved in the in vitro metabolism of GLB. Copyright © 2010 John Wiley & Sons, Ltd.