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1.
Dig Dis Sci ; 67(6): 2577-2583, 2022 06.
Artigo em Inglês | MEDLINE | ID: mdl-33945064

RESUMO

BACKGROUND: There is a high prevalence of liver injury (LI) in patients with coronavirus disease 2019 (COVID-19); however, few large-scale studies assessing risk factors and clinical outcomes in these patients have been done. AIMS: To evaluate the risk factors and clinical outcomes associated with LI in a large inpatient cohort of COVID-19 patients. METHODS: Adult patients with COVID-19 between March 1 and April 30, 2020, were included. LI was defined as peak levels of alanine aminotransferase/aspartate aminotransferase that were 3 times the ULN or peak levels in alkaline phosphatase/total bilirubin that were 2 times the ULN. Mild elevation in liver enzymes (MEL) was defined as abnormal peak liver enzyme levels lower than the threshold for LI. Patients with MEL and LI were compared to a control group comprising patients with normal liver enzymes throughout hospitalization. RESULTS: Of 1935 hospitalized COVID-19 patients, 1031 (53.2%) had MEL and 396 (20.5%) had LI. Compared to control patients, MEL and LI groups contained proportionately more men. Patients in the MEL cohort were older compared to control, and African-Americans were more highly represented in the LI group. Patients with LI had an increased risk of mortality (relative risk [RR] 4.26), intensive care unit admission (RR, 5.52), intubation (RR, 11.01), 30-day readmission (RR, 1.81), length of hospitalization, and intensive care unit stay (10.49 and 10.06 days, respectively) compared to control. CONCLUSION: Our study showed that patients with COVID-19 who presented with LI had a significantly increased risk of mortality and poor clinical outcomes.


Assuntos
COVID-19 , Hepatopatias , Adulto , Alanina Transaminase , Aspartato Aminotransferases , COVID-19/complicações , COVID-19/mortalidade , Feminino , Hospitalização , Humanos , Hepatopatias/epidemiologia , Masculino , Prevalência , Estudos Retrospectivos , Fatores de Risco , SARS-CoV-2
2.
Clin Gastroenterol Hepatol ; 15(12): 1876-1881, 2017 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-28711691

RESUMO

BACKGROUND & AIMS: In 2009, the U.S. Department of Justice issued a memo stating that it would not prosecute users and sellers who complied with the state laws allowing for medical use of marijuana. There are growing concerns about legalization of marijuana use and its related public health effects. We performed an interrupted time series analysis to evaluate these effects. METHODS: We collected a representative sample of hospital discharge data from the Healthcare Cost and Utilization Project, from January 1993 to December 2014. We divided the data in to 3 groups: the prelegalization period (1993-2008), the legalization period (2009), and the postlegalization period (2010-2014). The disease variables were International Classification of Disease-Ninth Revision-Clinical Modification 304.30 cannabinoid dependency unspecified (CDU), 536.2 persistent vomiting, and an aggregate of CDU and persistent vomiting. We performed interrupted time series and Poisson-Gamma regression analysis to calculate each year's incidence rate of unspecified and persistent vomiting and CDU per 100,000 hospital discharges. CDU, persistent vomiting, and aggregate of CDU and persistent vomiting were modeled separately to estimate average incidence rate ratio and 95% confidence interval for each study phase. RESULTS: We observed an increasing trend of CDU or an aggregate of CDU and persistent vomiting during the prelegalization period. The legalization of marijuana significantly increased the incidence rate during the legalization period (by 17.9%) and the yearly average increase in rate by 6% after policy implementation, compared to the prelegalization period. The increase in rate of persistent vomiting after policy implementation increased significantly (by about 8%), although there were no significant trends in increase prior to or during marijuana legalization in 2009. CONCLUSIONS: In an interrupted time series analysis of before, during, and after medical marijuana legalization, we estimated levels and rate changes in CDU and persistent vomiting. We found persistent increases in rates of CDU and persistent vomiting during and after legalization of marijuana.


Assuntos
Canabinoides/efeitos adversos , Canabinoides/uso terapêutico , Política de Saúde , Uso da Maconha , Transtornos Relacionados ao Uso de Substâncias/epidemiologia , Hospitais , Humanos , Incidência , Análise de Séries Temporais Interrompida , Estados Unidos
3.
Obes Res Clin Pract ; 15(2): 172-176, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33653666

RESUMO

BACKGROUND: Although recent studies have shown an association between obesity and adverse coronavirus disease 2019 (COVID-19) patient outcomes, there is a paucity in large studies focusing on hospitalized patients. We aimed to analyze outcomes associated with obesity in a large cohort of hospitalized COVID-19 patients. METHODS: We performed a retrospective study at a tertiary care health system of adult patients with COVID-19 who were admitted between March 1 and April 30, 2020. Patients were stratified by body mass index (BMI) into obese (BMI ≥ 30 kg/m 2) and non-obese (BMI < 30 kg/m 2) cohorts. Primary outcomes were mortality, intensive care unit (ICU) admission, intubation, and 30-day readmission. RESULTS: A total of 1983 patients were included of whom 1031 (51.9%) had obesity and 952 (48.9%) did not have obesity. Patients with obesity were younger (P < 0.001), more likely to be female (P < 0.001) and African American (P < 0.001) compared to patients without obesity. Multivariable logistic models adjusting for differences in age, sex, race, medical comorbidities, and treatment modalities revealed no difference in 60-day mortality and 30-day readmission between obese and non-obese groups. In these models, patients with obesity had increased odds of ICU admission (adjusted OR, 1.37; 95% CI, 1.07-1.76; P = 0.012) and intubation (adjusted OR, 1.37; 95% CI, 1.04-1.80; P = 0.026). CONCLUSIONS: Obesity in patients with COVID-19 is independently associated with increased risk for ICU admission and intubation. Recognizing that obesity impacts morbidity in this manner is crucial for appropriate management of COVID-19 patients.


Assuntos
Índice de Massa Corporal , COVID-19/epidemiologia , Hospitalização , Unidades de Terapia Intensiva , Obesidade/epidemiologia , Índice de Gravidade de Doença , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , COVID-19/terapia , Comorbidade , Feminino , Mortalidade Hospitalar , Humanos , Intubação , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Obesidade/etnologia , Razão de Chances , Readmissão do Paciente , Estudos Retrospectivos , Fatores de Risco , SARS-CoV-2 , Fatores Sexuais
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