Browsing by Author "Pike, Francis"

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    Bleeding After Elective Interventional Endoscopic Procedures in a Large Cohort of Patients With Cirrhosis
    (Wolters Kluwer, 2020-12-17) Kundumadam, Shanker; Phatharacharukul, Parkpoom; Reinhart, Kathryn; Yousef, Andrew; Shamseddeen, Hani; Pike, Francis; Patidar, Kavish R.; Gromski, Mark; Chalasani, Naga; Orman, Eric S.; Medicine, School of Medicine
    Introduction: Elective therapeutic endoscopy is an important component of care of cirrhotic patients, but there are concerns regarding the risk of bleeding. This study examined the incidence, risk factors, and outcomes of bleeding after endoscopic variceal ligation (EVL), colonoscopic polypectomy, and endoscopic retrograde cholangiopancreatography with sphincterotomy in cirrhotic patients. Methods: A cohort study of patients with cirrhosis who underwent the above procedures at a single center between 2012 and 2014 was performed. Patients with active bleeding at the time of procedure were excluded. Patients were followed for 30 days to assess for postprocedural bleeding and for 90 days for mortality. Results: A total of 1,324 procedures were performed in 857 patients (886 upper endoscopies, 358 colonoscopies, and 80 endoscopic retrograde cholangiopancreatograpies). After EVL, bleeding occurred in 2.8%; after polypectomy, bleeding occurred in 2.0%; and after sphincterotomy, bleeding occurred in 3.8%. Independent predictors of bleeding after EVL and polypectomy included younger age and lower hemoglobin. For EVL, bleeding was also associated with infection and model for end-stage liver disease-Na. International normalized ratio was associated with bleeding in univariate analysis only, and platelet count was not associated with bleeding in any procedure. Bleeding after EVL was associated with 29% 90-day mortality, and bleeding after polypectomy was associated with 14% mortality. Of the 3 patients with postsphincterotomy bleeding, none were outliers regarding their baseline characteristics. Discussion: In patients with cirrhosis, bleeding occurs infrequently after elective therapeutic endoscopy and is associated with younger age, lower hemoglobin, and high mortality. Consideration of these risk factors may guide appropriate timing and preprocedural management to optimize outcomes.
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    Decreased Quality of Life is Significantly Associated with Body Composition in Patients with Nonalcoholic Fatty Liver Disease
    (Elsevier, 2020) Samala, Niharika; Desai, Archita; Vilar, Eduardo; Smith, Emily R.; Gawrieh, Samer; Kettler, Carla D.; Pike, Francis; Chalasani, Naga; Medicine, School of Medicine
    Background & Aims We studied impaired quality of life (QOL) and its determinants among individuals with nonalcoholic fatty liver disease (NAFLD). Methods We collected data from 341 patients with NAFLD who completed the short form 36 (SF-36) questionnaire. Body composition and liver fibrosis were assessed in patients with NAFLD using bioelectrical impedance and transient elastography, respectively. Advanced fibrosis was defined as liver stiffness measurements (LSMs) of 12.1 kPa or greater. SF-36 scores of patients with NAFLD were compared with SF36 scores of individuals with chronic medical illnesses and the general population obtained from the published literature. Results Among patients with NAFLD, percent body fat was negatively associated with scores from all 8 SF-36 scales, whereas lean body mass was positively associated with scores from 5 of 8 SF-36 scales. On multivariable analysis, SF-36 PF scores were negatively associated with type 2 diabetes, body mass index, and LSM and positively associated with lean body mass and level of alanine aminotransferase. Patients with NAFLD, and even those without advanced fibrosis, had significantly lower mean QOL scores than the control group or the general population. Conclusions Individuals with NAFLD, even those without advanced fibrosis, have lower QOL than controls. Body composition associates with QOL in patients with NAFLD; both of the modifiable factors independently associated with QOL are related to body composition. Further studies are needed to investigate if interventions to improve body composition can increase QOL for patients with NAFLD.
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    Development, validation, and proof-of-concept implementation of a two-year risk prediction model for undiagnosed atrial fibrillation using common electronic health data (UNAFIED)
    (BMC, 2021-04-03) Grout, Randall W.; Hui, Siu L.; Imler, Timothy D.; El‑Azab, Sarah; Sands, George H.; Ateya, Mohammad; Pike, Francis; Pediatrics, School of Medicine
    Background: Many patients with atrial fibrillation (AF) remain undiagnosed despite availability of interventions to reduce stroke risk. Predictive models to date are limited by data requirements and theoretical usage. We aimed to develop a model for predicting the 2-year probability of AF diagnosis and implement it as proof-of-concept (POC) in a production electronic health record (EHR). Methods: We used a nested case-control design using data from the Indiana Network for Patient Care. The development cohort came from 2016 to 2017 (outcome period) and 2014 to 2015 (baseline). A separate validation cohort used outcome and baseline periods shifted 2 years before respective development cohort times. Machine learning approaches were used to build predictive model. Patients ≥ 18 years, later restricted to age ≥ 40 years, with at least two encounters and no AF during baseline, were included. In the 6-week EHR prospective pilot, the model was silently implemented in the production system at a large safety-net urban hospital. Three new and two previous logistic regression models were evaluated using receiver-operating characteristics. Number, characteristics, and CHA2DS2-VASc scores of patients identified by the model in the pilot are presented. Results: After restricting age to ≥ 40 years, 31,474 AF cases (mean age, 71.5 years; female 49%) and 22,078 controls (mean age, 59.5 years; female 61%) comprised the development cohort. A 10-variable model using age, acute heart disease, albumin, body mass index, chronic obstructive pulmonary disease, gender, heart failure, insurance, kidney disease, and shock yielded the best performance (C-statistic, 0.80 [95% CI 0.79-0.80]). The model performed well in the validation cohort (C-statistic, 0.81 [95% CI 0.8-0.81]). In the EHR pilot, 7916/22,272 (35.5%; mean age, 66 years; female 50%) were identified as higher risk for AF; 5582 (70%) had CHA2DS2-VASc score ≥ 2. Conclusions: Using variables commonly available in the EHR, we created a predictive model to identify 2-year risk of developing AF in those previously without diagnosed AF. Successful POC implementation of the model in an EHR provided a practical strategy to identify patients who may benefit from interventions to reduce their stroke risk.
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    High-quality diet, physical activity, and college education are associated with low risk of NAFLD among the US population
    (Wiley, 2021) Vilar‐Gomez, Eduardo; Nephew, Lauren D.; Vuppalanchi, Raj; Gawrieh, Samer; Mladenovic, Andrea; Pike, Francis; Samala, Niharika; Chalasani, Naga; Medicine, School of Medicine
    Background and Aims The effects of diet quality (DQ), physical activity (PA), and socioeconomic status (SES) on the risk of NAFLD are unclear. We examined the association among DQ, PA, SES, and NAFLD risk. Approach and Results This is a cross-sectional analysis of the National Health and Nutrition Examination Surveys, 2017–2018, which included 3589 participants with reliable information on vibration-controlled transient elastography (VCTE) measurements, 24-h dietary recalls, PA, and SES. DQ was assessed by the Healthy Eating Index (HEI)-2015. PA was determined by the Global Physical Activity Questionnaire. SES was assessed by the educational attainment and family poverty income ratio (PIR). Risk of NAFLD was considered by means of a composite outcome using VCTE measurements: non-NAFLD versus NAFLD without clinically significant fibrosis (CSF) versus NAFLD with CSF. The NAFLD risk was lower in physically active (≥600 metabolic equivalent of task [MET] min/week) versus inactive participants (<600 MET min/week) (OR: 0.71, p = 0.043). A high-quality diet (HQD) (HEI > 56.64) was associated with a lower risk of NAFLD (OR: 0.58, p < 0.01) compared with a non-HQD. The lowest NAFLD risk was observed in those physically active with HQD (OR: 0.43, p < 0.01). Body mass index and waist circumference significantly mediated the effect of DQ and PA on NAFLD risk. Education (college or above) (OR: 0.65, p = 0.034), but not PIR, was associated with a reduced NAFLD risk. HQD and increased PA partially mediated the effect of education on NAFLD risk. The total effect of education on NAFLD risk mediated by DQ was 29% and by PA was 8%. Conclusions HQD, increased physical activity, and college education were associated with lower NAFLD risk in the US population.
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    Karnofsky performance status predicts outcomes in candidates for simultaneous liver-kidney transplant
    (Wiley, 2021-02) Shamseddeen, Hani; Pike, Francis; Ghabril, Marwan; Patidar, Kavish R.; Desai, Archita P.; Nephew, Lauren; Anderson, Melissa; Kubal, Chandrashekhar; Chalasani, Naga; Orman, Eric S.; Medicine, School of Medicine
    Karnofsky performance status (KPS), a measure of physical frailty, predicts pre-transplant and post-transplant outcomes in liver transplantation, but has not been assessed in simultaneous liver–kidney transplantation (SLKT). We examined the association between KPS and outcomes in SLKT waitlist registrants and recipients (2005-2018) in the UNOS database. KPS was categorized into A (able to work), B (able to provide self-care), and C (unable to provide self-care). Cox regression and competing risk analysis were used to assess the association between KPS groups and outcomes. A total of 10,785 patients were waitlisted (KPS: 19% A, 46% B, 35% C), and 5,516 underwent SLKT (12% A, 36% B, 52% C). One-year waitlist mortality was 17%, 22%, and 32% for KPS A, B, and C, respectively. In adjusted competing risk regression, KPS C was associated with increased waitlist mortality (SHR 1.15, 95%CI 1.04-1.28). One-year post-transplant survival was 92%, 91%, and 87% for KPS A, B, and C, respectively. In adjusted Cox regression, KPS C was associated with increased post-transplant mortality (HR 1.32, 95%CI 1.08-1.61). It was also associated with increased liver and kidney graft losses and with hospital length of stay. Frailty, as assessed by KPS, is associated with poor outcomes in SLKT pre- and post-transplant.