A rational approach to guide cost-effective de novo donor-specific antibody surveillance with tacrolimus immunosuppression.

De novo donor-specific antibody (dnDSA) after renal transplantation has been shown to correlate with antibody-mediated rejection and allograft loss. However, the lack of proven interventions and the time and cost associated with annual screening for dnDSA are difficult to justify for all recipients. We studied a well-characterized consecutive cohort (n = 949) with over 15 years of prospective dnDSA surveillance to identify risk factors that would help institute a resource-responsible surveillance strategy. Younger recipient age and HLA-DR/DQ molecular mismatch were independent predictors of dnDSA development. Combining both risk factors into recipient age molecular mismatch categories, we found that 52% of recipients could be categorized as low-risk for dnDSA development (median subclinical dnDSA-free survival at 5 and 10 years, 98% and 97%, respectively). After adjustment, multivariate correlates of dnDSA development included tacrolimus versus cyclosporin maintenance immunosuppression (hazard ratio [HR], 0.37; 95% CI, 0.2-0.6; P < .0001) and recipient age molecular mismatch category: intermediate versus low (HR, 2.48; 95% CI, 1.5-4.2; P = .0007), high versus intermediate (HR, 2.56; 95% CI, 1.6-4.2; P = .0002), and high versus low (HR, 6.36; 95% CI, 3.7-10.8; P < .00001). When combined, recipient age and HLA-DR/DQ molecular mismatch provide a novel data-driven approach to reduce testing by >50% while selecting those most likely to benefit from dnDSA surveillance.

Preventing severe necrotizing enterocolitis: Propensity score analysis of interventions associated with surgical NEC or NEC-associated death.

PURPOSE: To determine what modifiable interventions used in the neonatal intensive care unit (NICU) are associated with severe necrotizing enterocolitis (NEC) requiring surgical intervention. METHODS: A retrospective review of patients treated for NEC at a tertiary hospital from 1991 to 2016 was performed. Patient characteristics were used to calculate propensity scores for likelihood of exposure to seven interventions: enteral feeds, use of glucocorticoids, nonsteroidal anti-inflammatory drugs (NSAIDs), antacids, antibiotics, or umbilical arterial (UAC) and venous catheters (UVC). Conditional logistic regression was used to compare the odds of having surgical NEC if exposed to each treatment. RESULTS: We included 195 NEC patients: 69 severe NEC managed with surgery and 126 non-severe NEC managed medically. After propensity score matching based on birth characteristics, exposure to glucocorticoids (OR 5.21, 95%CI: 1.62, 16.70), NSAIDs (OR 4.87, 95%CI: 1.67, 14.17), UVC (OR 2.53 (95%CI: 1.19, 5.73), and UAC (OR 4.91, 95%CI: 2.12, 11.37) were associated with surgical NEC in separate conditional logistic regression analyses. Including these treatments in a second round of propensity matching and conditional logistic regression revealed that glucocorticoids (OR 2.99, 95%CI: 1.01, 8.88), NSAIDs (OR 3.97, 95%CI: 1.41, 11.19), UVC (OR 3.07, 95%CI: 1.46, 6.48), and UAC (OR 5.10, 95%CI: 2.10, 12.36) were still associated with surgical NEC. CONCLUSION: After controlling for birth confounders and common NICU supportive interventions, use of glucocorticoids, NSAIDs and umbilical catheters independently increased the odds of developing severe NEC requiring surgical intervention. LEVEL-OF-EVIDENCE RATING: Case-control, Level III evidence.

Educational outcomes in school age children with a history of isolated Hirschsprung disease are equivalent to their peers.

PURPOSE: The aim of this study was to assess real-world educational outcomes and developmental disorders in patients with a history of Hirschsprung disease compared to an age-matched control group. METHODS: With ethics approval (H2016:014) a retrospective cohort study of all children diagnosed with Hirschsprung disease at a single centre from 1992 to 2017 was performed. A 10:1 date-of-birth matched control cohort was constructed from a population-based directory. The educational outcomes were compared using the following measures: Early Developmental Instrument, Grades 3, 7, and 8 assessments, Grade 9 completion, Grade 9 performance, and high school graduation. Fisher's exact tests were used to compare the odds of failure between cases to controls. Only children who reached 4 years of age were included. RESULTS: A total of 75 cases with Hirschsprung disease patients were identified. Patients with Hirschsprung disease were at increased risk of failing to meet expectations on the Early Development Instrument. After entering elementary school, Hirschsprung patients were at no greater risk than their peers of failing to meet expectations on standardized testing or failing to graduate from high school. CONCLUSION: Using real-world measures of academic success as a surrogate for neurodevelopmental status, our study demonstrates that patients with a history of Hirschsprung disease demonstrated poor neurodevelopmental performance in pre-school, but the educational achievements of patients did not differ from controls once they started school. These promising data can be used to mitigate preconceived notions that patients with Hirschsprung disease require special education, which may be isolating and psychosocially damaging.

Association Between Prescription Opioid Therapy for Noncancer Pain and Hepatitis C Virus Seroconversion.

Importance: Initiation of injection drug use may be more frequent among people dispensed prescription opioid therapy for noncancer pain, potentially increasing the risk of hepatitis C virus (HCV) acquisition. Objective: To assess the association between medically dispensed long-term prescription opioid therapy for noncancer pain and HCV seroconversion among individuals who were initially injection drug use-naive. Design, Setting, and Participants: A population-based, retrospective cohort study of individuals tested for HCV in British Columbia, Canada, with linkage to outpatient pharmacy dispensations, was conducted. Individuals with an initial HCV-negative test result followed by 1 additional test between January 1, 2000, and December 31, 2017, and who had no history of substance use at baseline (first HCV-negative test), were included. Participants were followed up from baseline to the last HCV-negative test or estimated date of seroconversion (midpoint between HCV-positive and the preceding HCV-negative test). Exposures: Episodes of prescription opioid use for noncancer pain were defined as acute (<90 days) or long-term (≥90 days). Prescription opioid exposure status (long-term vs prescription opioid-naive/acute) was treated as time-varying in survival analyses. In secondary analyses, long-term exposure was stratified by intensity of use (chronic vs. episodic) and by average daily dose in morphine equivalents (MEQ). Main Outcomes and Measures: Multivariable Cox regression models were used to assess the association between time-varying prescription opioid status and HCV seroconversion. Results: A total of 382 478 individuals who had more than 1 HCV test were included, of whom more than half were female (224 373 [58.7%]), born before 1974 (201 944 [52.8%]), and younger than 35 years at baseline (196 298 [53.9%]). Participants were followed up for 2 057 668 person-years and 1947 HCV seroconversions occurred. Of the participants, 41 755 people (10.9%) were exposed to long-term prescription opioid therapy at baseline or during follow-up. The HCV seroconversion rate per 1000 person-years was 0.8 among the individuals who were prescription opioid-naive/acute (1489 of 1947 [76.5%] seroconversions; 0.4% seroconverted within 5 years) and 2.1 with long-term prescription opioid therapy (458 of 1947 [23.5%] seroconversions; 1.1% seroconverted within 5 years). In multivariable analysis, exposure to long-term prescription opioid therapy was associated with a 3.2-fold (95% CI, 2.9-3.6) higher risk of HCV seroconversion (vs prescription opioid-naive/acute). In separate Cox models, long-term chronic use was associated with a 4.7-fold higher risk of HCV seroconversion (vs naive/acute use 95% CI, 3.9-5.8), and long-term higher-dose use (≥90 MEQ) was associated with a 5.1-fold higher risk (vs naive/acute use 95% CI, 3.7-7.1). Conclusions and Relevance: In this cohort study of people with more than 1 HCV test, long-term prescription opioid therapy for noncancer pain was associated with a higher risk of HCV seroconversion among individuals who were injection drug use-naive at baseline or at prescription opioid initiation. These results suggest injection drug use initiation risk is higher among people dispensed long-term therapy and may be useful for informing approaches to identify and prevent HCV infection. These findings should not be used to justify abrupt discontinuation of long-term therapy, which could increase risk of harms.

Prescription opioid treatment for non-cancer pain and initiation of injection drug use: large retrospective cohort study.

OBJECTIVE: To assess the association between long term prescription opioid treatment medically dispensed for non-cancer pain and the initiation of injection drug use (IDU) among individuals without a history of substance use. DESIGN: Retrospective cohort study. SETTING: Large administrative data source (containing information for about 1.7 million individuals tested for hepatitis C virus or HIV in British Columbia, Canada) with linkage to administrative health databases, including dispensations from community pharmacies. PARTICIPANTS: Individuals age 11-65 years and without a history of substance use (except alcohol) at baseline. MAIN OUTCOME MEASURES: Episodes of prescription opioid use for non-cancer pain were identified based on drugs dispensed between 2000 and 2015. Episodes were classified by the increasing length and intensity of opioid use (acute (lasting <90 episode days), episodic (lasting ≥90 episode days; with <90 days' drug supply and/or <50% episode intensity), and chronic (lasting ≥90 episode days; with ≥90 days' drug supply and ≥50% episode intensity)). People with a chronic episode were matched 1:1:1:1 on socioeconomic variables to those with episodic or acute episodes and to those who were opioid naive. IDU initiation was identified by a validated administrative algorithm with high specificity. Cox models weighted by inverse probability of treatment weights assessed the association between opioid use category (chronic, episodic, acute, opioid naive) and IDU initiation. RESULTS: 59 804 participants (14 951 people from each opioid use category) were included in the matched cohort, and followed for a median of 5.8 years. 1149 participants initiated IDU. Cumulative probability of IDU initiation at five years was highest for participants with chronic opioid use (4.0%), followed by those with episodic use (1.3%) and acute use (0.7%), and those who were opioid naive (0.4%). In the inverse probability of treatment weighted Cox model, risk of IDU initiation was 8.4 times higher for those with chronic opioid use versus those who were opioid naive (95% confidence interval 6.4 to 10.9). In a sensitivity analysis limited to individuals with a history of chronic pain, cumulative risk for those with chronic use (3.4% within five years) was lower than the primary results, but the relative risk was not (hazard ratio 9.7 (95% confidence interval 6.5 to 14.5)). IDU initiation was more frequent at higher opioid doses and younger ages. CONCLUSIONS: The rate of IDU initiation among individuals who received chronic prescription opioid treatment for non-cancer pain was infrequent overall (3-4% within five years) but about eight times higher than among opioid naive individuals. These findings could have implications for strategies to prevent IDU initiation, but should not be used as a reason to support involuntary tapering or discontinuation of long term prescription opioid treatment.

Whole blood biomarkers of acute cardiac allograft rejection: double-crossing the biopsy.

BACKGROUND: Acute rejection is still a significant barrier to long-term survival of the allograft. Current acute rejection diagnostic methods are not specific enough or are invasive. There have been a number of studies that have explored the blood or the biopsy to discover genomic biomarkers of acute rejection; however, none of the studies to date have used both. METHODS: We analyzed endomyocardial biopsy tissue and whole blood-derived messenger RNA from 11 acute rejection and 20 nonrejection patients using Affymetrix Human Genome U133 Plus 2.0 chips. We used a novel approach and gained insight into the biology of rejection based on gene expression in the biopsy, and applied this knowledge to the blood analysis to identify novel blood biomarkers. RESULTS: We identified probesets that are differentially expressed between acute rejection and nonrejection patients in the biopsy and blood, and developed three biomarker panels: (1) based on biopsy-only (area under the curve=0.85), (2) based on biopsy-targeted whole blood (area under the curve=0.83), and (3) based on whole blood-only (area under the curve=0.60) analyses. CONCLUSIONS: Most of the probesets replicated between biopsy and blood are regulated in opposite direction between the two sources of information. We also observed that the biopsy-targeted blood biomarker discovery approach can improve performance of the biomarker panel. The biomarker panel developed using this targeted approach is able to diagnose acute cardiac allograft rejection almost as well as the biopsy-only based biomarker panel.