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1.
Ann Hepatol ; 28(3): 101087, 2023.
Article in English | MEDLINE | ID: mdl-36882138

ABSTRACT

INTRODUCTION AND OBJECTIVES: The association between type 2 diabetes, non-alcoholic fatty liver disease, and liver fibrosis is well established, but it is unknown whether complications of type 2 diabetes influence fibrosis levels. We defined the complications of type 2 diabetes by the presence of diabetic nephropathy, retinopathy, or neuropathy and aimed to evaluate their association with the degree of liver fibrosis measured by the fibrosis-4 (FIB-4) index. MATERIALS AND METHODS: This is a cross-sectional study evaluating the association of type 2 diabetes complications with liver fibrosis. A total of 2389 participants were evaluated from a primary care practice. FIB-4 was evaluated as a continuous and categorical measure using linear and ordinal logistic regression. RESULTS: Patients with complications were older, had higher hemoglobin A1c, and a higher median FIB-4 score (1.34 vs. 1.12, P<0.001). On adjusted analysis, type 2 diabetes complications were associated with higher fibrosis by continuous FIB-4 score (Beta-coefficient: 0.23, 95% confidence interval [CI]: 0.004-1.65) and demonstrated increased odds of fibrosis by categorical FIB-4 score (odds ratio [OR]: 4.48, 95% CI: 1.7-11.8, P=0.003), independent of hemoglobin A1c level. CONCLUSIONS: The presence of type 2 diabetes complications is associated with the degree of liver fibrosis, independent of hemoglobin A1c level.


Subject(s)
Diabetes Complications , Diabetes Mellitus, Type 2 , Non-alcoholic Fatty Liver Disease , Humans , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Glycated Hemoglobin , Cross-Sectional Studies , Liver Cirrhosis/diagnosis , Liver Cirrhosis/epidemiology , Liver Cirrhosis/complications , Non-alcoholic Fatty Liver Disease/diagnosis , Non-alcoholic Fatty Liver Disease/epidemiology , Non-alcoholic Fatty Liver Disease/complications , Fibrosis , Diabetes Complications/complications
3.
Clin Exp Med ; 22(1): 137-149, 2022 Feb.
Article in English | MEDLINE | ID: mdl-34089403

ABSTRACT

There is currently limited clinical ability to identify COVID-19 patients at risk for severe outcomes. To unbiasedly identify metrics associated with severe outcomes in COVID-19 patients, we conducted a retrospective study of 835 COVID-19 positive patients at a single academic medical center between March 10, 2020 and October 13, 2020. As of December 1, 2020, 656 (79%) patients required hospitalization and 149 (18%) died. Unbiased comparisons of all clinical characteristics and mortality revealed that abnormal pH (OR 8.54, 95% CI 5.34-13.6), abnormal creatinine (OR 6.94, 95% CI 4.22-11.4), and abnormal PTT (OR 4.78, 95% CI 3.11-7.33) were most significantly associated with mortality. Correlation with ordinal severity scores confirmed these associations, in addition to associations between respiratory rate (Spearman's rho  = -0.56), absolute neutrophil count (Spearman's rho  = -0.5), and C-reactive protein (Spearman's rho  =  0.59) with disease severity. Unsupervised principal component analysis and machine learning model classification of patient demographics, laboratory results, medications, comorbidities, signs and symptoms, and vitals are capable of separating patients on the basis of COVID-19 mortality (AUC 0.82). This retrospective analysis identifies laboratory and clinical metrics most relevant to predict COVID-19 severity.


Subject(s)
COVID-19 , Hospitalization , Humans , Machine Learning , Retrospective Studies , SARS-CoV-2
5.
J Med Virol ; 93(10): 5768-5776, 2021 10.
Article in English | MEDLINE | ID: mdl-34042195

ABSTRACT

Though it is widely believed that chronic immunosuppressive medications increase the severity of coronavirus disease 2019 (COVID-19) illness, there is little data to support this. We performed a retrospective study of COVID-19 positive patients diagnosed at a single academic medical center between March 10, 2020 and October 13, 2020. A total of 835 patients diagnosed with COVID-19 by polymerase chain reaction were included (median age 64 years; 52% female). Of these, 46 (5.5%) had a prescription for an immunosuppressive therapy before diagnosis, most commonly oral steroids (20, 43%), mycophenolate (12, 26%), or tacrolimus (11, 24%). Patients on immunosuppressive therapy with COVID-19 had increased mortality (30% vs. 17%, p = 0.036; odds ratio 2.1, 95% confidence interval 1.11-4.04), which remained significant (p = 0.040) after performing multivariate logistic regression controlling for gender, age, race, and comorbidity status. Laboratory markers of inflammation were uniformly elevated in both patients on or not on immunosuppressive therapies who died, but lymphocytes and neutrophils were decreased in both COVID-19 patients on immunosuppressive therapies who died and who remained alive. These findings demonstrate that COVID-19 disease is more severe in patients taking prior immunosuppressive medications. This finding emphasizes the need for aggressive monitoring and supportive care for immunosuppressed patients who are diagnosed with COVID-19.


Subject(s)
COVID-19/mortality , Immunosuppression Therapy/adverse effects , Aged , COVID-19/diagnosis , Female , Humans , Immunosuppression Therapy/statistics & numerical data , Immunosuppressive Agents/adverse effects , Length of Stay , Male , Middle Aged , Risk Factors , SARS-CoV-2 , Severity of Illness Index
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