Sustained viral clearance was achieved in 83% of patients with renal impairment (eGFR ≤45 ml/min/1.73 m(2) ) treated with SOF-containing regimens. However, these patients had higher rates of anaemia, worsening renal dysfunction and serious adverse events regardless of use of RBV. Patient with renal impairment require close monitoring and should be treated by providers extensively experienced with SOF-containing regimens.

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IMPORTANCEThe National COVID Cohort Collaborative (N3C) is a centralized, harmonized, highgranularity electronic health record repository that is the largest, most representative COVID-19 cohort to date. This multicenter data set can support robust evidence-based development of predictive and diagnostic tools and inform clinical care and policy.OBJECTIVES To evaluate COVID-19 severity and risk factors over time and assess the use of machine learning to predict clinical severity. DESIGN, SETTING, AND PARTICIPANTSIn a retrospective cohort study of 1 926 526 US adults with SARS-CoV-2 infection (polymerase chain reaction >99% or antigen <1%) and adult patients without SARS-CoV-2 infection who served as controls from 34 medical centers nationwide between January 1, 2020, and December 7, 2020, patients were stratified using a World Health Organization COVID-19 severity scale and demographic characteristics. Differences between groups over time were evaluated using multivariable logistic regression. Random forest and XGBoost models were used to predict severe clinical course (death, discharge to hospice, invasive ventilatory support, or extracorporeal membrane oxygenation). MAIN OUTCOMES AND MEASURESPatient demographic characteristics and COVID-19 severity using the World Health Organization COVID-19 severity scale and differences between groups over time using multivariable logistic regression. RESULTSThe cohort included 174 568 adults who tested positive for SARS-CoV-2 (mean [SD] age, 44.4 [18.6] years; 53.2% female) and 1 133 848 adult controls who tested negative for SARS-CoV-2 (mean [SD] age, 49.5 [19.2] years; 57.1% female). Of the 174 568 adults with SARS-CoV-2, 32 472(18.6%) were hospitalized, and 6565 (20.2%) of those had a severe clinical course (invasive ventilatory support, extracorporeal membrane oxygenation, death, or discharge to hospice). Of the hospitalized patients, mortality was 11.6% overall and decreased from 16.4% in March to April 2020 to 8.6% in September to October 2020 (P = .002 for monthly trend). Using 64 inputs available on the first hospital day, this study predicted a severe clinical course using random forest and XGBoost models (area under the receiver operating curve = 0.87 for both) that were stable over time. The factor most strongly associated with clinical severity was pH; this result was consistent across machine learning methods. In a separate multivariable logistic regression model built for inference, (continued) Key Points Question In a US data resource large enough to adjust for multiple confounders, what risk factors are associated with COVID-19 severity and severity trajectory over time, and can machine learning models predict clinical severity? Findings In this cohort study of 174 568 adults with SARS-CoV-2, 32 472 (18.6%) were hospitalized and 6565 (20.2%) were severely ill, and first-day machine learning models accurately predicted clinical severity. Mortality was 11.6%

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Since late 2019, the novel coronavirus SARS-CoV-2 has introduced a wide array of health challenges globally. In addition to a complex acute presentation that can affect multiple organ systems, increasing evidence points to long-term sequelae being common and impactful. As the worldwide scientific community forges ahead with efforts to characterize a wide range of outcomes associated with SARS-CoV-2 infection, the proliferation of available data has made it clear that formal definitions are needed in order to design robust and consistent studies of Long COVID that consistently capture variation in long-term outcomes. In the present study, we investigate the definitions used in the literature published to date and compare them against data available from electronic health records and patient-reported information collected via surveys. Long COVID holds the potential to produce a second public health crisis on the heels of the pandemic. Proactive efforts to identify the characteristics of this heterogeneous condition are imperative for a rigorous scientific effort to investigate and mitigate this threat.

Background Data outside of clinical trials with direct acting antiviral (DAA) regimens with or without ribavirin as treatment of chronic HCV in solid organ transplant recipients is limited. Methods Liver transplant (LT), kidney transplant (KT) and dual liver kidney (DLK) transplant recipients from the HCV-TARGET database, a multicenter, longitudinal clinical care treatment cohort, treated with DAA regimens between January 1 2014 and February 15, 2016 were included to assess safety and efficacy. Results 443 post-transplant patients were included (KT=60, LT =347, DLK=36); 42% had cirrhosis, 54% had failed prior antiviral therapy. Most had genotype (GT) 1 (87% with 52% G1a, 27% G1b, and 8% G1 no subtype) and were treated with sofosbuvir/ledipasvir (SOF/LDV) ± RBV (85%) followed by sofosbuvir + daclatasvir (SOF + DAC) ± ribavirin (9%) and ombitasvir/paritaprevir/ritonavir + dasabuvir (PrOD) ± RBV (6%). SVR12 rates were available on 415 patients and 397 patients (95.7%) achieved SVR12: 96.3%, 94.6% and 90.9% among LT, KT and DLK transplant recipients, respectively. Ribavirin did not influence SVR rates and was more often used in those with higher eGFR and lower creatinine. Female gender, baseline albumin ≥ 3.5 g/dL, baseline total bilirubin ≤ 1.2 mg/dL, the absence of cirrhosis and hepatic decompensation predicted SVR12. Six episodes of acute rejection (n=2 KT, 4 LT) occurred during HCV treatment in 4 and after cessation of treatment in 2. Conclusion In a large prospective observational cohort study, DAA therapy with SOF/LDV, PrOD and SOF plus DAC was efficacious and safe in, LT, KT, and DLK transplant recipients. Ribavirin did not influence SVR. Graft rejection was rare.

<b><i>Introduction:</i></b> Acute kidney injury (AKI) is strongly associated with poor outcomes in hospitalized patients with coronavirus disease 2019 (COVID-19), but data on the association of proteinuria and hematuria are limited to non-US populations. In addition, admission and in-hospital measures for kidney abnormalities have not been studied separately. <b><i>Methods:</i></b> This retrospective cohort study aimed to analyze these associations in 321 patients sequentially admitted between March 7, 2020 and April 1, 2020 at Stony Brook University Medical Center, New York. We investigated the association of proteinuria, hematuria, and AKI with outcomes of inflammation, intensive care unit (ICU) admission, invasive mechanical ventilation (IMV), and in-hospital death. We used ANOVA, <i>t</i> test, χ² test, and Fisher’s exact test for bivariate analyses and logistic regression for multivariable analysis. <b><i>Results:</i></b> Three hundred patients met the inclusion criteria for the study cohort. Multivariable analysis demonstrated that admission proteinuria was significantly associated with risk of in-hospital AKI (OR 4.71, 95% CI 1.28–17.38), while admission hematuria was associated with ICU admission (OR 4.56, 95% CI 1.12–18.64), IMV (OR 8.79, 95% CI 2.08–37.00), and death (OR 18.03, 95% CI 2.84–114.57). During hospitalization, de novo proteinuria was significantly associated with increased risk of death (OR 8.94, 95% CI 1.19–114.4, <i>p</i> = 0.04). In-hospital AKI increased (OR 27.14, 95% CI 4.44–240.17) while recovery from in-hospital AKI decreased the risk of death (OR 0.001, 95% CI 0.001–0.06). <b><i>Conclusion:</i></b> Proteinuria and hematuria both at the time of admission and during hospitalization are associated with adverse clinical outcomes in hospitalized patients with COVID-19.

Background. Cannabis is categorized as an illicit drug in most US states, but legalization for medical indications is increasing. Policies and guidance on cannabis use in transplant patients remain controversial. Methods. We examined a database linking national kidney transplant records (n = 52 689) with Medicare claims to identify diagnoses of cannabis dependence or abuse (CDOA) and associations [adjusted hazard ratio (aHR) with 95% upper and lower confidence limits (CLs)] with graft, patient, and other clinical outcomes. Results. CDOA was diagnosed in only 0.5% (n = 254) and 0.3% (n = 163) of kidney transplant recipients in the years before and after transplant, respectively. Patients with pretransplant CDOA were more likely to be 19 to 30 years of age and of black race, and less likely to be obese, college-educated, and employed. After multivariate and propensity adjustment, CDOA in the year before transplant was not associated with death or graft failure in the year after transplant, but was associated with posttransplant psychosocial problems such as alcohol abuse, other drug abuse, noncompliance, schizophrenia, and depression. Furthermore, CDOA in the first year posttransplant was associated with an approximately 2-fold increased risk of death-censored graft failure (aHR, 2.29; 95% CL, 1.59–3.32), all-cause graft loss (aHR, 2.09; 95% CL, 1.50–2.91), and death (aHR, 1.79; 95% CL, 1.06–3.04) in the subsequent 2 years. Posttransplant CDOA was also associated with cardiovascular, pulmonary, and psychosocial problems, and with events such as accidents and fractures. Conclusions. Although associations likely, in part, reflect associated conditions or behaviors, clinical diagnosis of CDOA in the year after transplant appears to have prognostic implications for allograft and patient outcomes. Recipients with posttransplant CDOA warrant focused monitoring and support.