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1.
Hepatol Res ; 2024 Feb 28.
Artigo em Inglês | MEDLINE | ID: mdl-38419394

RESUMO

AIM: 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.

2.
Clin Gastroenterol Hepatol ; 21(2): 445-455.e2, 2023 02.
Artigo em Inglês | MEDLINE | ID: mdl-35189388

RESUMO

BACKGROUND & AIMS: 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.


Assuntos
Diabetes Mellitus Tipo 2 , Inibidores de Hidroximetilglutaril-CoA Redutases , Hepatopatia Gordurosa não Alcoólica , Humanos , Feminino , Idoso , Hepatopatia Gordurosa não Alcoólica/complicações , Fatores de Risco , Diabetes Mellitus Tipo 2/complicações , Resultado do Tratamento , Estudos Retrospectivos , Cirrose Hepática/complicações
3.
Case Rep Transplant ; 2022: 9426175, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36405892

RESUMO

Background: Since October 2021, there have been more than 500 cases of severe hepatitis of unknown origin in children reported worldwide, including 180 cases in the U.S. The most frequently detected potential pathogen to date has been adenovirus, typically serotype 41. Adenovirus is known to cause a self-limited infection in the immunocompetent host. However, in immunosuppressed individuals, severe or disseminated infections may occur. Method: We present the case of a two-year-old female who presented with cholestatic hepatitis and acute liver failure (ALF). Work up for etiologies of ALF was significant for adenovirus viremia, but liver biopsy was consistently negative for the virus. The risk for severe adenoviral infection in the setting of anticipated immunosuppression prompted us to initiate cidofovir to decrease viral load prior to undergoing liver transplantation. Result: Our patient received a successful liver transplant, cleared the viremia after 5 doses of cidofovir, and continues to maintain allograft function without signs of infection at the time of this report, 5 months posttransplant. Conclusion: Recent reports of pediatric hepatitis cases may be associated with adenoviral infection although the exact relationship is unclear. There is the possibility of the ongoing SARS-CoV-2 environment, or other immunologic modifying factors. All patients presenting with hepatitis or acute liver failure should be screened for adenovirus and reported to state health departments. Cidofovir may be used to decrease viral load prior to liver transplantation, to decrease risk of severe adenoviral infection.

7.
Diabetes Metab Syndr Obes ; 11: 533-542, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-30288073

RESUMO

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.

8.
Sci Rep ; 7(1): 10800, 2017 09 07.
Artigo em Inglês | MEDLINE | ID: mdl-28883645

RESUMO

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.


Assuntos
Biomarcadores/análise , Técnicas de Apoio para a Decisão , Registros Eletrônicos de Saúde/estatística & dados numéricos , Aprendizado de Máquina , Sepse/diagnóstico , Sepse/patologia , Processamento Eletrônico de Dados/métodos , Humanos , Valor Preditivo dos Testes , Curva ROC , Estados Unidos
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