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Risk of colorectal cancer in patients with primary sclerosing cholangitis and concomitant inflammatory bowel disease compared with primary sclerosing cholangitis only

Das, Taranika Sarkar; Ho, Kimberly; Udaikumar, Jahnavi; Chen, Bryan; Delau, Olivia; Shaukat, Aasma; Jacobson, Ira; Sarwar, Raiya
AIM/OBJECTIVE:Primary sclerosing cholangitis (PSC) increases the risk of colorectal cancer (CRC) in inflammatory bowel disease (IBD) patients; however, there is a paucity of literature to suggest PSC alone as an independent risk factor for CRC. We aimed to determine if PSC is an independent risk factor for CRC in a large tertiary care medical center. Optimizing screening intervals is of great importance, given the burden and risks associated with a lifetime of colonoscopy screening. METHODS:This retrospective cohort study consists of patients diagnosed with PSC preceding IBD (PSC-IBD) and PSC-only before January 6, 2023 from a large, tertiary, academic medical center. Patients diagnosed with IBD concurrently or before PSC were excluded to reduce IBD's impact on CRC risk. Demographic data and colonoscopy findings were collected and assessed. RESULTS:Overall, 140 patients from all NYU Langone Health clinical settings were included. Patients with PSC-IBD were more likely to be diagnosed with CRC (23.3% vs. 1.8%, p < 0.01) and either low-grade or uncharacterized dysplasia (16.7% vs. 0.0%, p < 0.01) compared with those with PSC-only. Among PSC-only patients, the estimated CRC risk was significantly elevated compared with that expected of the standard NYU Langone population (SIR 9.2, 95% CI 1.1, 33.2). CONCLUSIONS:Our study revealed a significantly heightened CRC risk in PSC-IBD patients compared with those with PSC-only. Importantly, individuals with PSC-only also face a greater CRC risk compared with the general population. Individuals with PSC-alone may require extended screening and surveillance colonoscopy intervals compared with those with PSC-IBD, yet still require more frequent monitoring than screening guidelines recommend for the general population.
PMID: 38419394
ISSN: 1386-6346
CID: 5651302

Risk of Colorectal Cancer With Inflammatory Bowel Disease and Primary Sclerosing Cholangitis Compared to Primary Sclerosing Cholangitis Only: A Need for Consensus on Colonoscopy Surveillance Guidelines for PSC Without IBD

Das, Taranika Sarkar; Ho, Kimberly; Udaikumar, Jahnavi; Chen, Bryan; Delau, Olivia; Shaukat, Aasma; Jacobson, Ira; Sarwar, Raiya
ORIGINAL:0017175
ISSN: 0002-9270
CID: 5651352

Factors Impacting Survival in Those Transplanted for NASH Cirrhosis: Data From the NailNASH Consortium

Rinella, Mary E; Satapathy, Sanjaya K; Brandman, Danielle; Smith, Coleman; Elwir, Sal; Xia, Jonathan; Gibson, Meg; Figueredo, Carlos; Angirekula, Mounika; Vanatta, Jason M; Sarwar, Raiya; Jiang, Yu; Gregory, Dyanna; Agostini, Tandy; Ko, JimIn; Podila, Pradeep; Gallo, Grace; Watt, Kymberly D; Siddiqui, Mohammad S
BACKGROUND & AIMS/OBJECTIVE:Nonalcoholic steatohepatitis (NASH) is the leading indication for liver transplant (LT) in women and the elderly. Granular details into factors impacting survival in this population are needed to optimize management and improve outcomes. METHODS:Patients receiving LT for NASH cirrhosis from 1997 to 2017 across 7 transplant centers (NailNASH consortium) were analyzed. The primary outcome was all-cause mortality, and causes of death were enumerated. All outcomes were cross referenced with United Network for Organ Sharing and adjudicated at each individual center. Cox regression models were constructed to elucidate clinical factors impacting mortality. RESULTS:Nine hundred thirty-eight patients with a median follow-up of 3.8 years (interquartile range, 1.60-7.05 years) were included. The 1-, 3-, 5-, 10-, and 15-year survival of the cohort was 93%, 88%, 83%, 69%, and 46%, respectively. Of 195 deaths in the cohort, the most common causes were infection (19%), cardiovascular disease (18%), cancer (17%), and liver-related (11%). Inferior survival was noted in patients >65 years. On multivariable analysis, age >65 (hazard ratio [HR], 1.70; 95% confidence interval [CI], 1.04-2.77; P = .04), end-stage renal disease (HR, 1.55; 95% CI, 1.04-2.31; P = .03), black race (HR, 5.25; 95% CI, 2.12-12.96; P = .0003), and non-calcineurin inhibitors-based regimens (HR, 2.05; 95% CI, 1.19-3.51; P = .009) were associated with increased mortality. Statin use after LT favorably impacted survival (HR, 0.38; 95% CI, 0.19-0.75; P = .005). CONCLUSIONS:Despite excellent long-term survival, patients transplanted for NASH at >65 years or with type 2 diabetes mellitus at transplant had higher mortality. Statin use after transplant attenuated risk and was associated with improved survival across all subgroups, suggesting that careful patient selection and implementation of protocol-based management of metabolic comorbidities may further improve clinical outcomes.
PMID: 35189388
ISSN: 1542-7714
CID: 5230482

Acute cellular rejection in liver transplant recipients following vaccination against COVID-19: A case series

Sarwar, Raiya; Adeyi, Oyedele A; Lake, John; Lim, Nicholas
PMCID:9088651
PMID: 35243757
ISSN: 1527-6473
CID: 5230492

Elevated Liver Enzymes Secondary to Early Second Trimester HELLP Syndrome (Hemolysis, Elevated Liver Enzymes, Low Platelet Count) [Letter]

Spartz, Ellen; Sarwar, Raiya; Jacobs, Katherine; Thomson, Mary
PMID: 34465699
ISSN: 1572-0241
CID: 5230462

Publisher Correction: Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis

Taneja, Ishan; Reddy, Bobby; Damhorst, Gregory; Zhao, Sihai Dave; Hassan, Umer; Price, Zachary; Jensen, Tor; Ghonge, Tanmay; Patel, Manish; Wachspress, Samuel; Winter, Jackson; Rappleye, Michael; Smith, Gillian; Healey, Ryan; Ajmal, Muhammad; Khan, Muhammad; Patel, Jay; Rawal, Harsh; Sarwar, Raiya; Soni, Sumeet; Anwaruddin, Syed; Davis, Benjamin; Kumar, James; White, Karen; Bashir, Rashid; Zhu, Ruoqing
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
PMID: 31745207
ISSN: 2045-2322
CID: 5230442

Obesity and nonalcoholic fatty liver disease: current perspectives

Sarwar, Raiya; Pierce, Nicholas; Koppe, Sean
Nonalcoholic fatty liver disease (NAFLD) is rapidly becoming the most common cause of chronic liver disease due to an increase in the prevalence of obesity. The development of NASH leads to an increase in morbidity and mortality. While the first line of treatment is lifestyle modifications, including dietary changes and increased physical activity, there are no approved pharmacological treatment agents for NAFLD and NASH currently. Due to its complex pathophysiology, different pathways are under investigation for drug development with the focus on metabolic pathways, inflammation, and slowing or reversing fibrosis. There are several agents advancing in clinical trials, and promising results have been seen with drugs that affect hepatic steatosis, inflammation, and fibrosis. This review will provide an overview on NAFLD and some of the mechanisms of disease that are being targeted with pharmacologic agents.
PMCID:6163009
PMID: 30288073
ISSN: 1178-7007
CID: 5285622

Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis

Taneja, Ishan; Reddy, Bobby; Damhorst, Gregory; Dave Zhao, Sihai; Hassan, Umer; Price, Zachary; Jensen, Tor; Ghonge, Tanmay; Patel, Manish; Wachspress, Samuel; Winter, Jackson; Rappleye, Michael; Smith, Gillian; Healey, Ryan; Ajmal, Muhammad; Khan, Muhammad; Patel, Jay; Rawal, Harsh; Sarwar, Raiya; Soni, Sumeet; Anwaruddin, Syed; Davis, Benjamin; Kumar, James; White, Karen; Bashir, Rashid; Zhu, Ruoqing
Sepsis is a leading cause of death and is the most expensive condition to treat in U.S. hospitals. Despite targeted efforts to automate earlier detection of sepsis, current techniques rely exclusively on using either standard clinical data or novel biomarker measurements. In this study, we apply machine learning techniques to assess the predictive power of combining multiple biomarker measurements from a single blood sample with electronic medical record data (EMR) for the identification of patients in the early to peak phase of sepsis in a large community hospital setting. Combining biomarkers and EMR data achieved an area under the receiver operating characteristic (ROC) curve (AUC) of 0.81, while EMR data alone achieved an AUC of 0.75. Furthermore, a single measurement of six biomarkers (IL-6, nCD64, IL-1ra, PCT, MCP1, and G-CSF) yielded the same predictive power as collecting an additional 16 hours of EMR data(AUC of 0.80), suggesting that the biomarkers may be useful for identifying these patients earlier. Ultimately, supervised learning using a subset of biomarker and EMR data as features may be capable of identifying patients in the early to peak phase of sepsis in a diverse population and may provide a tool for more timely identification and intervention.
PMID: 28883645
ISSN: 2045-2322
CID: 5230402