Bruminhent, Jackrapong

Background: Black kidney transplant recipients have worse allograft outcomes compared to White recipients. The feature importance and feature interaction network analysis framework of machine learning random forest (RF) analysis may provide an understanding of RF structures to design strategies to prevent acute rejection among Black recipients. Methods: We conducted tree-based RF feature importance of Black kidney transplant recipients in United States from 2015 to 2019 in the UNOS database using the number of nodes, accuracy decrease, gini decrease, times_a_root, p value, and mean minimal depth. Feature interaction analysis was also performed to evaluate the most frequent occurrences in the RF classification run between correlated and uncorrelated pairs. Results: A total of 22,687 Black kidney transplant recipients were eligible for analysis. Of these, 1330 (6%) had acute rejection within 1 year after kidney transplant. Important variables in the RF models for acute rejection among Black kidney transplant recipients included recipient age, ESKD etiology, PRA, cold ischemia time, donor age, HLA DR mismatch, BMI, serum albumin, degree of HLA mismatch, education level, and dialysis duration. The three most frequent interactions consisted of two numerical variables, including recipient age:donor age, recipient age:serum albumin, and recipient age:BMI, respectively. Conclusions: The application of tree-based RF feature importance and feature interaction network analysis framework identified recipient age, ESKD etiology, PRA, cold ischemia time, donor age, HLA DR mismatch, BMI, serum albumin, degree of HLA mismatch, education level, and dialysis duration as important variables in the RF models for acute rejection among Black kidney transplant recipients in the United States.

AbstractBackgroundHigh plasma cytomegalovirus (CMV) DNA load is generally associated with CMV tissue‐invasive disease in solid organ transplant recipients. However, some tissue‐invasive diseases, especially CMV gastrointestinal (GI) disease, have undetectable to very low plasma CMV DNA loads. Highly sensitive nucleic acid amplification testing (NAAT) has been increasingly used to quantify low‐level CMV DNA loads. Our primary objective was to investigate the epidemiology of CMV GI disease and evaluate the validity of plasma CMV NAAT for the diagnosis of CMV GI disease in kidney transplant (KT) recipients.MethodsWe conducted a retrospective study of all KT recipients who developed CMV GI disease from January 2016 to December 2018. Plasma CMV DNA load was measured using real‐time PCR. The cut‐off value of plasma CMV DNA load for diagnosing and risk factors of CMV GI disease were analyzed.ResultsA total 17 (3.4%) cases of CMV GI disease occurred in 494 KT recipients. Fifteen (88%) patients had CMV D + /R + serostatus. Fourteen (82%) patients developed CMV GI disease within 6 months after KT. Plasma CMV DNA loads were detectable in all (100%) patients with a median load 11,102 (IQR 2,935‐107,160) IU/ml. A plasma CMV DNA load of 4,063 IU/ml was established as al cut‐off for diagnosing CMV GI disease (AUC 0.74, sensitivity 76.5%, specificity 70%, PPV 68, NPV 78). In multivariate analysis, prolonged cold ischemic time (HR 1.14, 95% CI 1.05‐1.23, P = .002) and CMV D + /R ‐ serostatus (HR 9.31, 95% CI 2.12‐40.74, P = .003) were associated with CMV GI disease.ConclusionsUsing highly sensitive NAAT could potentially assist in the diagnosis of CMV GI disease in a CMV D + /R + serostatus setting. KT recipients with CMV seromismatch and prolonged cold ischemic time are at higher risk of CMV GI disease.

Abstract Background Although cytomegalovirus (CMV)-seropositive solid organ transplant recipients have a relatively lower risk of CMV infection than CMV-seronegative recipients who receive allograft from CMV-seropositive donors, some patients remain at risk of CMV infection after transplant. We investigated the pretransplant CMV-specific humoral immunity (CHI) and other CMV infection predictors in CMV-seropositive kidney transplant (KT) recipients. Methods This retrospective study was conducted on adult CMV-seropositive KT recipients during 2017 and 2018. The cumulative incidence of CMV infection was estimated using the Kaplan-Meier method. CHI, measured with an enzyme-linked fluorescent immunoassay and other predictors for CMV infection, was analyzed using Cox proportional hazards models. Results Of the 340 CMV-seropositive KT recipients (37% female; mean ± SD age, 43 ± 11 years), 69% received deceased-donor allograft and 64% received induction therapy. During a mean follow-up of 14 months, the cumulative incidence of CMV infection was 14.8%. In multivariate analysis, low pretransplant CHI (defined as anti-CMV immunoglobulin [IgG] titer <20 AU/mL) was significantly associated with CMV infection (hazard ratio [HR], 2.98; 95% CI, 1.31–6.77; P = .009). Other significant predictors of CMV infection included older donor age (HR, 1.03; 95% CI, 1.01–1.06; P = .005), antithymocyte induction therapy (HR, 2.90; 95% CI, 1.09–7.74; P = .033), and prolonged cold ischemic time (HR, 1.06; 95% CI, 1.02–1.10; P = .002). Conclusions A low pretransplant CHI is independently associated with post-transplant CMV infection in CMV-seropositive KT recipients. A quantitative anti-CMV IgG assay could potentially stratify CMV-seropositive patients at risk of CMV infection after KT.

AbstractBackgroundIn the United States, increasing ethnic diversity has been apparent. However, the epidemiology and trends of BKV genotypes remain unclear. This meta‐analysis was conducted with the aim to assess the prevalence of BKV genotypes among kidney transplant (KTx) recipients in the United States.MethodsA comprehensive literature review was conducted through October 2018 utilizing MEDLINE, Embase, and Cochrane Database to identify studies that reported the prevalence of BKV subtypes and/or subgroups in KTx recipients in the United States. Pooled prevalence rates were combined using random effects, generic inverse variance method. The protocol for this study is registered with PROSPERO (no. CRD42019134582).ResultsA total of eight observational studies with a total of 193 samples (urine, blood, and kidney tissues) from 188 BKV‐infected KTX recipients were enrolled. Overall, the pooled estimated prevalence rates of BKV subtypes were 72.2% (95% confidence of interval [CI]: 62.7‐80.0%) for subtype I, 6.8% (95% CI: 2.5‐16.9%) for subtype II, 8.3% (95% CI: 4.4‐15.1%) for subtype III, and 16.1% (95% CI: 10.4‐24.2%) for subtype IV, respectively. While metaregression analysis demonstrated a significant positive correlation between year of study and the prevalence of BKV subtype I (slopes = +0.1023, P = .01), there were no significant correlations between year of study and percentages of BKV subtype II‐IV (P > .05). Among KTx recipients with BKV subtype I, the pooled estimated percentages of BKV subgroups were 22.4% (95% CI: 13.7‐34.5%) for subgroup Ia, 30.6% (95% CI: 17.7‐47.5%) for subgroup Ib1, 47.7% (95% CI: 35.8‐59.9%) for subgroup Ib2, and 4.1% (95% CI:1.2‐13.3%) for subgroup Ic, respectively.ConclusionBKV subtype I is the most prevalent subtype among KTx recipients in the United States and its prevalence seems to increasing overtime. Subgroup Ib2 is the most common subgroup among BKV subtype I.

Abstract Background Bloodstream infections (BSIs) are an important cause of morbidity and mortality among kidney transplant (KT) recipients, especially within the first year. We investigated for an epidemiology, risk factors and outcome of this specific infection following KT. Methods We conducted a retrospective study of all adult KT recipients who developed BSI within the first year after KT from January to December 2016 at a large referral single transplant center in Bangkok, Thailand. The cumulative incidence of BSI after transplant was estimated with Kaplan–Meier methodology. Clinical characteristics, microbiological data, and outcome were extracted. Risk factors for BSI were assessed with multivariate Cox proportional hazards models. Results A total of 26 (15.2%) episodes of BSI occurred in 171 KT recipients, 58.5% of them were men and the mean ± SD age was 43 ± 12 years. The majority received deceased-donor allograft (58.5%) and induction therapy (59%). The Kaplan–Meier estimated for BSIs were 12.3% at 3 months, 13.5% at 6 months, and 15.2% at 12 months after KT. Gram-negative bacteria were responsible for 92% of BSI, with Escherichia coli was the most common causative pathogen (65%) and 71% of those produced extended-spectrum β-lactamases enzyme. The genitourinary tracts were the predominant source of BSIs (85%). In a multivariate analysis, the second kidney transplantation [HR, 4.55; 95% CI, 1.24–16.79 (P =0.02)] and receiving induction therapy [HR, 3.05; 95% CI, 1.15–8.10 (P<0.03)] were associated with BSI. One patient (4%) developed acute cellular rejection and one patient (4%) died from septic shock. Conclusion One-sixth of KT recipients could develop gram-negative bloodstream infection within the first year after KT especially those underwent the second transplantation or received induction therapy. Disclosures All authors: No reported disclosures.

Microsporidiosis is an emerging opportunistic infection in immunocompromised patients. We report a case of fatal disseminated Anncaliia algerae infection in a profoundly immunosuppressed pancreas and kidney transplant recipient.