Mara, Kristin C

Abstract Study Objective To determine whether there is a drug‐drug interaction precluding the concomitant use of levetiracetam and high‐dose methotrexate (HDMTX). Design Retrospective analysis. Setting Large academic tertiary care medical center. Patients Adult lymphoma patients who received HDMTX as a 4‐h infusion with or without concomitant levetiracetam. Measurements and Main Results Generalized estimating equations clustered on patient were used to assess each outcome. The primary outcome was the incidence of delayed MTX elimination (MTX level >1 µmol/L at 48 h). Secondary outcomes included incidence of acute kidney injury (AKI) and hospital length of stay (LOS). The 430 included patients receiving 1993 doses of HDMTX had a median (IQR) age of 66 (57.5, 72.6) years, 88 (20.5%) received concomitant levetiracetam with at least one dose of MTX, 267 (62.1%) were male, and 397 (92.3%) were Caucasian. HDMTX doses ranged from 1 to 8 g/m 2 . The most common lymphoma diagnoses were systemic diffuse large B‐cell lymphoma (DLBCL; 58.5%) and systemic DLBCL with central nervous system (CNS) involvement (32.8%). Rates of delayed elimination with and without levetiracetam were 13.4% and 16.3%, respectively (OR = 0.80, 95% CI 0.47–1.34, p = 0.39). AKI occurred in 15.6% and 17.0% of patients with and without concomitant levetiracetam, respectively (OR = 0.83, 95% CI 0.52–1.33, p = 0.28). The median LOS with and without levetiracetam was 4.2 and 4.1 days, respectively ( p = 0.039). On multivariable analyses, only age, body surface area, diagnosis of systemic DLBCL with CNS involvement, serum creatinine, hemoglobin, total bilirubin, and dose of HDMTX were associated with delayed elimination. Conclusions High‐dose methotrexate administered with concomitant levetiracetam was not associated with increased risk for delayed MTX elimination or AKI. These results support that levetiracetam and HDMTX are safe for coadministration.

ABSTRACTThere is a high prevalence of blood-borne infections in West Africa. This study sought to determine the seroprevalence of blood-borne infections, including hepatitis B virus (HBV), hepatitis C virus (HCV), HIV, and syphilis, in blood donors in Burkina Faso. Blood donors were recruited from 2009 to 2013 in four major cities in Burkina Faso of urban area (Ouagadougou) and rural area (Bobo Dioulasso, Fada N’Gourma, and Ouahigouya). Serology tests including hepatitis B surface antigen, anti-HCV, anti-HIV, and rapid plasma reagin test were used for screening and were confirmed with ELISA. Disease prevalence was calculated among first-time donors. Incidence and residual risk were calculated from repeat donors. There were 166,681 donors; 43,084 had ≥ 2 donations. The overall seroprevalence of HBV, HCV, HIV, and syphilis were 13.4%, 6.9%, 2.1%, and 2.4%, respectively. The incidence rates (IRs) of HBV, HCV, HIV, and syphilis infection were 2,433, 3,056, 1,121, and 1,287 per 100,000 person-years. There was lower seroprevalence of HBV and HCV in urban area than in rural area (12.9% versus 14.0%, P < 0.001; and 5.9% versus 8.0%, P < 0.001), and no difference in HIV (2.1% versus 2.1%, P = 0.25). The IRs of new HBV, HCV, HIV, and syphilis were 2.43, 3.06, 1.12, and 1.29 per 100,000 person-years, respectively. The residual risk was one per 268 donations for HBV, one per 181 donations for HCV, and one per 1,480 donations for HIV, respectively. In conclusion, this comprehensive study from four blood donation sites in Burkina Faso showed high HBV and HCV seroprevalence and incidence with high residual risk from blood donation.

BackgroundNonalcoholic fatty liver disease (NAFLD) affects 25% of the global population. The standard of diagnosis, biopsy, is invasive and affected by sampling error and inter‐reader variability. We hypothesized that widely available rapid MRI techniques could be used to predict nonalcoholic steatohepatitis (NASH) noninvasively by measuring liver stiffness, with magnetic resonance elastography (MRE), and liver fat, with chemical shift‐encoded (CSE) MRI. Besides, we validate an automated image analysis technique to maximize the utility of these methods.PurposeTo implement and test an automated system for analyzing CSE‐MRI and MRE data coupled with model‐based prediction of NASH.Study TypeProspective.SubjectsEighty‐three patients with suspected NAFLD.Field Strength/SequenceA 1.5 T using a flow‐compensated motion‐encoded gradient echo MRE sequence and a multiecho CSE‐MRI sequence.AssessmentsThe MRE and CSE‐MRI data were analyzed by two readers (5+ and 1 years of experience) and an automated algorithm. A logistic regression model to predict pathology‐diagnosed NASH was trained based on stiffness and proton density fat fraction, and the area under the receiver operating characteristic curve (AUROC) was calculated using 10‐fold cross validation for models based on both automated and manual measurements. A separate model was trained to predict the NASH severity score (NAS).Statistical TestsPearson's correlation, Bland–Altman, AUROC, C‐statistic.ResultsThe agreement between automated measurements and the more experienced reader (R2 = 0.87 for stiffness and R2 = 0.99 for proton density fat fraction [PDFF]) was slightly better than the agreement between readers (R2 = 0.85 and 0.98). The model for predicting biopsy‐diagnosed NASH had an AUROC of 0.87. The NAS‐prediction model had a C‐statistic of 0.85.Data ConclusionWe demonstrated a workflow that used a limited MRI acquisition protocol and fully automated analysis to predict NASH with high accuracy. These methods show promise to provide a reliable noninvasive alternative to biopsy for NASH‐screening in populations with NAFLD.Level of Evidence2Technical Efficacy Stage2

Abstract Background Fluoroquinolones (FQs) are known to be accompanied by significant risks. However, the incidence of adverse events (ADEs) resulting in unplanned drug discontinuation when used for periprosthetic joint infections (PJIs) is currently unknown. Methods This study included 156 patients over the age of 18 treated for staphylococcal PJI with debridement, antibiotics, and implant retention between 1 January 2007 and 21 November 2019. Of the 156 patients, 64 had total hip arthroplasty (THA) and 92 had total knee arthroplasty (TKA) infections. The primary outcome was rate of unplanned drug discontinuation. Secondary outcomes included incidence of severe ADEs, unplanned rifamycin discontinuation, mean time to unplanned regimen discontinuation, and all-cause mortality. Results Overall, unplanned drug discontinuation occurred in 35.6% of patients in the FQ group and 3% of patients in the non-FQ group. The rate of unplanned discontinuation of FQ regimens as compared with non-FQ regimens was 27.5% vs 4.2% (P = .021) in THA infections and 42% vs 2.4% (P &lt; .001) in TKA infections. There was no significant difference in severe ADEs between FQ and non-FQ regimens in both THA and TKA infections. The overall rate of nonsevere ADEs in FQ compared with non-FQ regimens was 43.3% vs 6.1% (P &lt; .001). FQs were associated with tendinopathy, myalgia, arthralgia, and nausea. Conclusions A significantly higher rate of unplanned drug discontinuation was associated with FQ as compared with non-FQ regimens. This provides a real-world view of the implications of FQ-related ADEs on unplanned discontinuation when used in prolonged durations for the management of staphylococcal PJIs.

The diagnostic criteria for cirrhotic cardiomyopathy (CCM) were recently revised to reflect the contemporary advancements in echocardiographic technology. This study evaluates the prevalence of CCM, according to the new criteria, and its impact on posttransplant cardiovascular disease (CVD). This is a single‐center retrospective matched cohort study of liver transplantation (LT) recipients who underwent LT between January 1, 2008 and November 30, 2017. A total of 3 cohorts with decompensated cirrhosis (nonalcoholic steatohepatitis, alcohol‐related liver disease, or other etiologies) were matched based on age, sex, and year of transplant after excluding patients listed without evidence of hepatic decompensation. CCM was defined, according to 2020 criteria, as having diastolic dysfunction, left ventricular ejection fraction ≤50%, and/or a global longitudinal strain (GLS) absolute value <18%. The study echocardiographers were blinded to the clinical data. Posttransplant CVD included new coronary artery disease, congestive heart failure, atrial and ventricular arrhythmia, and stroke. The study included 141 patients of whom 59 were women. The mean age at LT was 57.8 (±7.6) years. A total of 49 patients (34.8%) had CCM. Patients with CCM were at an increased risk for post‐LT CVD (hazard ratio, 2.57; 95% confidence interval, 1.2‐5.5; P = 0.016). Changes in CCM individual parameters pretransplant, such as GLS, early diastolic transmitral flow to early diastolic mitral annular velocity, and left atrial volume index were associated with an increased risk for posttransplant CVD. CCM, defined by the new diagnostic criteria, affects approximately one‐third of decompensated LT candidates. CCM predicts an increased risk for new CVD following LT. Studies into addressing and follow‐up to mitigate these risks are needed.

Background and Aims Gastrointestinal (GI) malignancies are common after liver transplantation. The aim of this study was to identify the risk and timing of the more common GI malignancies, colorectal and pancreatic cancer, to aid in optimizing potential posttransplant screening practices. Approach and Results Data from the United Network for Organ Sharing database of all adult liver‐transplant recipients from 1997 to 2017 were analyzed and a comparison made with cancer incidence from general population data using Surveillance, Epidemiology, and End Results data. Of 866 de novo GI malignancies, 405 colorectal and 216 pancreas were identified. The highest cumulative incidence for colorectal cancer occurred in recipients with primary sclerosing cholangitis (PSC), recipients over the age of 50 with non‐alcoholic steatohepatitis (NASH) and hepatocellular carcinoma (HCC)/cholangiocarcinoma (CCA), and females >50 years with alcohol‐associated liver disease and HCC/CCA, with risk increasing above the general population within 5 years of transplant. Patients with PSC and HCC/CCA or NASH and HCC/CCA have the highest cumulative incidence of pancreatic cancer also rising within 5 years following transplant, with those patients >50 years old conferring the highest risk. Conclusions These data identify a high‐risk cohort that warrants consideration for intensified individualized screening practices for colorectal cancer after liver transplantation. In addition to recipients with PSC, further study of recipients with NASH and HCC/CCA and females with alcohol‐associated liver disease and HCC/CCA may be better tailored to colorectal cancer screening ideals. Higher‐risk patient populations for pancreatic cancer (PSC and NASH with HCC/CCA) would benefit from further study to determine potential screening practices. GI malignancies occur at higher rates in liver‐transplant patients compared with the general population. In the era of individualized medicine, this study identifies the highest‐risk transplant recipients (PSC and NASH cirrhosis with coexisting HCC/CCA) who may benefit from altered screening practices for these malignancies.

AbstractBackgroundOpioid‐induced esophageal dysfunction (OIED) is a recognized complication of chronic opioid use. However, the impact of acute opioid administration on esophageal motility remains unclear.MethodsOpioid naïve patients with high‐resolution manometry (HRM) <480 min following esophagogastroduodenoscopy (EGD) (opioid‐HRM) and a control group with HRM <36 h prior to EGD between January 1, 2016, and November 10, 2018, from a single institution were identified. EGDs were performed exclusively with versed and fentanyl.Key ResultsOne hundred and seventy‐four patients were identified, with 83 (47.7%) opioid‐HRM and 91 (52.3%) controls. Mean time from EGD to HRM was 229 (78–435) min. Baseline clinical features and HRM indications were similar between opioid‐HRM and controls. Chicago classification v3.0 defined HRM findings were similar between groups. Major motility disorders as defined by the Chicago classification v3.0 occurred at a similar frequency among opioid‐HRM and controls (27.7% vs. 36.3%, p = 0.23). Mean distal contractile integrity (DCI) was higher in opioid‐HRM (1939.3 ± 1318.9 vs. 1792.2 ± 2062.3 mmHg∙cm∙s, p = 0.043), but maximum DCI, distal latency, and integrated relaxation pressure did not differ between groups. Subgroup analysis assessing time and dose dependency did not identify differences in individual manometric parameters and Chicago classification v3.0 diagnosis between patients with HRM <240 min after EGD, >240 min after EGD, ≥125 mcg of IV fentanyl, <125 mcg IV fentanyl and controls.Conclusions and InferencesSame‐day acute opioid administration did not affect HRM findings in opioid naïve patients. Studies assessing the pathophysiology of and duration‐dependent relationship with opioids in OIED are needed.

The use of the kidney function biomarker cystatin C (cysC) can improve the accuracy of vancomycin dosing for target trough attainment in nonobese patients. It is unknown whether cysC can also improve vancomycin target trough attainment in overweight and obese patients. We conducted a retrospective observational study of overweight or obese hospitalized adults with stable renal function administered intravenous vancomycin between January 2011 and July 2019. Linear regression models were used to predict initial steady-state vancomycin troughs using several factors, including various cysC- and serum creatinine (SCr)-based estimates of kidney function.

Abstract Data directly demonstrating the relationship between urinary oxalate (UOx) excretion and stone events in those with enteric hyperoxaluria (EH) are limited. Therefore, we assessed the relationship between UOx excretion and risk of kidney stone events in a retrospective population-based EH cohort. In all, 297 patients from Olmsted County, Minnesota were identified with EH based upon having a 24-h UOx ≥40 mg/24 h preceded by a diagnosis or procedure associated with malabsorption. Diagnostic codes and urologic procedures consistent with kidney stones during follow-up after baseline UOx were considered a new stone event. Logistic regression and accelerated failure time modeling were performed as a function of UOx excretion to predict the probability of new stone event and the annual rate of stone events, respectively, with adjustment for urine calcium and citrate. Mean ± standard deviation age was 51.4 ± 11.4 years and 68% were female. Median (interquartile range) UOx was 55.4 (46.6–73.0) mg/24 h and 81 patients had one or more stone event during a median follow-up time of 4.9 (2.8–7.8) years. Higher UOx was associated with a higher probability of developing a stone event (P &lt; 0.01) and predicted an increased annual risk of kidney stones (P = 0.001). Estimates derived from these analyses suggest that a 20% decrease in UOx is associated with 25% reduction in the annual odds of a future stone event. Thus, these data demonstrate an association between baseline UOx and stone events in EH patients and highlight the potential benefit of strategies to reduce UOx in this patient group. Background Data directly demonstrating the relationship between urinary oxalate (UOx) excretion and stone events in those with enteric hyperoxaluria (EH) are limited. Methods We assessed the relationship between UOx excretion and risk of kidney stone events in a retrospective population-based EH cohort. In all, 297 patients from Olmsted County, Minnesota were identified with EH based upon having a 24-h UOx ≥40 mg/24 h preceded by a diagnosis or procedure associated with malabsorption. Diagnostic codes and urologic procedures consistent with kidney stones during follow-up after baseline UOx were considered a new stone event. Logistic regression and accelerated failure time modeling were performed as a function of UOx excretion to predict the probability of new stone event and the annual rate of stone events, respectively, with adjustment for urine calcium and citrate. Results Mean ± SD age was 51.4 ± 11.4 years and 68% were female. Median (interquartile range) UOx was 55.4 (46.6–73.0) mg/24 h and 81 patients had ≥1 stone event during a median follow-up time of 4.9 (2.8–7.8) years. Higher UOx was associated with a higher probability of developing a stone event (P &lt; 0.01) and predicted an increased annual risk of kidney stones (P = 0.001). Estimates derived from these analyses suggest that a 20% decrease in UOx is associated with 25% reduction in the annual odds of a future stone event. Conclusions These data demonstrate an association between baseline UOx and stone events in EH patients and highlight the potential benefit of strategies to reduce UOx in this patient group.

Objective The diagnosis of autoimmune pancreatitis (AIP) is challenging. Sonographic and cross-sectional imaging findings of AIP closely mimic pancreatic ductal adenocarcinoma (PDAC) and techniques for tissue sampling of AIP are suboptimal. These limitations often result in delayed or failed diagnosis, which negatively impact patient management and outcomes. This study aimed to create an endoscopic ultrasound (EUS)-based convolutional neural network (CNN) model trained to differentiate AIP from PDAC, chronic pancreatitis (CP) and normal pancreas (NP), with sufficient performance to analyse EUS video in real time. Design A database of still image and video data obtained from EUS examinations of cases of AIP, PDAC, CP and NP was used to develop a CNN. Occlusion heatmap analysis was used to identify sonographic features the CNN valued when differentiating AIP from PDAC. Results From 583 patients (146 AIP, 292 PDAC, 72 CP and 73 NP), a total of 1 174 461 unique EUS images were extracted. For video data, the CNN processed 955 EUS frames per second and was: 99% sensitive, 98% specific for distinguishing AIP from NP; 94% sensitive, 71% specific for distinguishing AIP from CP; 90% sensitive, 93% specific for distinguishing AIP from PDAC; and 90% sensitive, 85% specific for distinguishing AIP from all studied conditions (ie, PDAC, CP and NP). Conclusion The developed EUS-CNN model accurately differentiated AIP from PDAC and benign pancreatic conditions, thereby offering the capability of earlier and more accurate diagnosis. Use of this model offers the potential for more timely and appropriate patient care and improved outcome.