Browsing by Author "Buxbaum, James"

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    Development and Validation of a Machine Learning-based, Point-of-Care Risk Calculator for Post-ERCP Pancreatitis and Prophylaxis Selection
    (Elsevier, 2024) Brenner, Todd; Kuo, Albert; Sperna Weiland, Christina J.; Kamal, Ayesha; Elmunzer, B. Joseph; Luo, Hui; Buxbaum, James; Gardner, Timothy B.; Mok, Shaffer S.; Fogel, Evan S.; Phillip, Veit; Choi, Jun-Ho; Lua, Guan W.; Lin, Ching-Chung; Reddy, D. Nageshwar; Lakhtakia, Sundeep; Goenka, Mahesh K.; Kochhar, Rakesh; Khashab, Mouen A.; van Geenen, Erwin J. M.; Singh, Vikesh K.; Tomasetti, Cristian; Akshintala, Venkata S.; Medicine, School of Medicine
    Background and Aims A robust model of post-ERCP pancreatitis (PEP) risk is not currently available. We aimed to develop a machine learning–based tool for PEP risk prediction to aid in clinical decision making related to periprocedural prophylaxis selection and postprocedural monitoring. Methods Feature selection, model training, and validation were performed using patient-level data from 12 randomized controlled trials. A gradient-boosted machine (GBM) model was trained to estimate PEP risk, and the performance of the resulting model was evaluated using the area under the receiver operating curve (AUC) with 5-fold cross-validation. A web-based clinical decision-making tool was created, and a prospective pilot study was performed using data from ERCPs performed at the Johns Hopkins Hospital over a 1-month period. Results A total of 7389 patients were included in the GBM with an 8.6% rate of PEP. The model was trained on 20 PEP risk factors and 5 prophylactic interventions (rectal nonsteroidal anti-inflammatory drugs [NSAIDs], aggressive hydration, combined rectal NSAIDs and aggressive hydration, pancreatic duct stenting, and combined rectal NSAIDs and pancreatic duct stenting). The resulting GBM model had an AUC of 0.70 (65% specificity, 65% sensitivity, 95% negative predictive value, and 15% positive predictive value). A total of 135 patients were included in the prospective pilot study, resulting in an AUC of 0.74. Conclusions This study demonstrates the feasibility and utility of a novel machine learning–based PEP risk estimation tool with high negative predictive value to aid in prophylaxis selection and identify patients at low risk who may not require extended postprocedure monitoring.
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    Digestive Manifestations in Patients Hospitalized With Coronavirus Disease 2019
    (Elsevier, 2020-10-01) Elmunzer, B. Joseph; Spitzer, Rebecca L.; Foster, Lydia D.; Merchant, Ambreen A.; Howard, Eric F.; Patel, Vaishali A.; West, Mary K.; Qayed, Emad; Nustas, Rosemary; Zakaria, Ali; Piper, Marc S.; Taylor, Jason R.; Jaza, Lujain; Forbes, Nauzer; Chau, Millie; Lara, Luis F.; Papachristou, Georgios I.; Volk, Michael L.; Hilson, Liam G.; Zhou, Selena; Kushnir, Vladimir M.; Lenyo, Alexandria M.; McLeod, Caroline G.; Amin, Sunil; Kuftinec, Gabriela N.; Yadav, Dhiraj; Fox, Charlie; Kolb, Jennifer M.; Pawa, Swati; Pawa, Rishi; Canakis, Andrew; Huang, Christopher; Jamil, Laith H.; Aneese, Andrew M.; Glamour, Benita K.; Smith, Zachary L.; Hanley, Katherine A.; Wood, Jordan; Patel, Harsh K.; Shah, Janak N.; Agarunov, Emil; Sethi, Amrita; Fogel, Evan L.; McNulty, Gail; Haseeb, Abdul; Trieu, Judy A.; Dixon, Rebekah E.; Yang, Jeong Yun; Mendelsohn, Robin B.; Calo, Delia; Aroniadis, Olga C.; LaComb, Joseph F.; Scheiman, James M.; Sauer, Bryan G.; Dang, Duyen T.; Piraka, Cyrus R.; Shah, Eric D.; Pohl, Heiko; Tierney, William M.; Mitchell, Stephanie; Condon, Ashwinee; Lenhart, Adrienne; Dua, Kulwinder S.; Kanagala, Vikram S.; Kamal, Ayesha; Singh, Vikesh K.; Pinto-Sanchez, Maria Ines; Hutchinson, Joy M.; Kwon, Richard S.; Korsnes, Sheryl J.; Singh, Harminder; Solati, Zahra; Willingham, Field F.; Yachimski, Patrick S.; Conwell, Darwin L.; Mosier, Evan; Azab, Mohamed; Patel, Anish; Buxbaum, James; Wani, Sachin; Chak, Amitabh; Hosmer, Amy E.; Keswani, Rajesh N.; DiMaio, Christopher J.; Bronze, Michael S.; Muthusamy, Raman; Canto, Marcia I.; Gjeorgjievski, V. Mihajlo; Imam, Zaid; Odish, Fadi; Edhi, Ahmed I.; Orosey, Molly; Tiwari, Abhinav; Patwardhan, Soumil; Brown, Nicholas G.; Patel, Anish A.; Ordiah, Collins O.; Sloan, Ian P.; Cruz, Lilian; Koza, Casey L.; Okafor, Uchechi; Hollander, Thomas; Furey, Nancy; Reykhart, Olga; Zbib, Natalia H.; Damianos, John A.; Esteban, James; Hajidiacos, Nick; Saul, Melissa; Mays, Melanie; Anderson, Gulsum; Wood, Kelley; Mathews, Laura; Diakova, Galina; Caisse, Molly; Wakefield, Lauren; Nitchie, Haley; Waljee, Akbar K.; Tang, Weijing; Zhang, Yueyang; Zhu, Ji; Deshpande, Amar R.; Rockey, Don C.; Alford, Teldon B.; Durkalski, Valerie; Medicine, School of Medicine
    Background & Aims The prevalence and significance of digestive manifestations in coronavirus disease 2019 (COVID-19) remain uncertain. We aimed to assess the prevalence, spectrum, severity, and significance of digestive manifestations in patients hospitalized with COVID-19. Methods Consecutive patients hospitalized with COVID-19 were identified across a geographically diverse alliance of medical centers in North America. Data pertaining to baseline characteristics, symptomatology, laboratory assessment, imaging, and endoscopic findings from the time of symptom onset until discharge or death were abstracted manually from electronic health records to characterize the prevalence, spectrum, and severity of digestive manifestations. Regression analyses were performed to evaluate the association between digestive manifestations and severe outcomes related to COVID-19. Results A total of 1992 patients across 36 centers met eligibility criteria and were included. Overall, 53% of patients experienced at least 1 gastrointestinal symptom at any time during their illness, most commonly diarrhea (34%), nausea (27%), vomiting (16%), and abdominal pain (11%). In 74% of cases, gastrointestinal symptoms were judged to be mild. In total, 35% of patients developed an abnormal alanine aminotransferase or total bilirubin level; these were increased to less than 5 times the upper limit of normal in 77% of cases. After adjusting for potential confounders, the presence of gastrointestinal symptoms at any time (odds ratio, 0.93; 95% CI, 0.76–1.15) or liver test abnormalities on admission (odds ratio, 1.31; 95% CI, 0.80–2.12) were not associated independently with mechanical ventilation or death. Conclusions Among patients hospitalized with COVID-19, gastrointestinal symptoms and liver test abnormalities were common, but the majority were mild and their presence was not associated with a more severe clinical course.
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    Digestive Manifestations in Patients Hospitalized With Coronavirus Disease 2019
    (Elsevier, 2021-07) Elmunzer, B. Joseph; Spitzer, Rebecca L.; Foster, Lydia D.; Merchant, Ambreen A.; Howard, Eric F.; Patel, Vaishali A.; West, Mary K.; Qayed, Emad; Nustas, Rosemary; Zakaria, Ali; Piper, Marc S.; Taylor, Jason R.; Jaza, Lujain; Forbes, Nauzer; Chau, Millie; Lara, Luis F.; Papachristou, Georgios I.; Volk, Michael L.; Hilson, Liam G.; Zhou, Selena; Kushnir, Vladimir M.; Lenyo, Alexandria M.; McLeod, Caroline G.; Amin, Sunil; Kuftinec, Gabriela N.; Yadav, Dhiraj; Fox, Charlie; Kolb, Jennifer M.; Pawa, Swati; Pawa, Rishi; Canakis, Andrew; Huang, Christopher; Jamil, Laith H.; Aneese, Andrew M.; Glamour, Benita K.; Smith, Zachary L.; Hanley, Katherine A.; Wood, Jordan; Patel, Harsh K.; Shah, Janak N.; Agarunov, Emil; Sethi, Amrita; Fogel, Evan L.; McNulty, Gail; Haseeb, Abdul; Trieu, Judy A.; Dixon, Rebekah E.; Yang, Jeong Yun; Mendelsohn, Robin B.; Calo, Delia; Aroniadis, Olga C.; LaComb, Joseph F.; Scheiman, James M.; Sauer, Bryan G.; Dang, Duyen T.; Piraka, Cyrus R.; Shah, Eric D.; Pohl, Heiko; Tierney, William M.; Mitchell, Stephanie; Condon, Ashwinee; Lenhart, Adrienne; Dua, Kulwinder S.; Kanagala, Vikram S.; Kamal, Ayesha; Singh, Vikesh K.; Pinto-Sanchez, Maria Ines; Hutchinson, Joy M.; Kwon, Richard S.; Korsnes, Sheryl J.; Singh, Harminder; Solati, Zahra; Willingham, Field F.; Yachimski, Patrick S.; Conwell, Darwin L.; Mosier, Evan; Azab, Mohamed; Patel, Anish; Buxbaum, James; Wani, Sachin; Chak, Amitabh; Hosmer, Amy E.; Keswani, Rajesh N.; DiMaio, Christopher J.; Bronze, Michael S.; Muthusamy, Raman; Canto, Marcia I.; Gjeorgjievski, V. Mihajlo; Imam, Zaid; Odish, Fadi; Edhi, Ahmed I.; Orosey, Molly; Tiwari, Abhinav; Patwardhan, Soumil; Brown, Nicholas G.; Patel, Anish A.; Ordiah, Collins O.; Sloan, Ian P.; Cruz, Lilian; Koza, Casey L.; Okafor, Uchechi; Hollander, Thomas; Furey, Nancy; Reykhart, Olga; Zbib, Natalia H.; Damianos, John A.; Esteban, James; Hajidiacos, Nick; Saul, Melissa; Mays, Melanie; Anderson, Gulsum; Wood, Kelley; Mathews, Laura; Diakova, Galina; Caisse, Molly; Wakefield, Lauren; Nitchie, Haley; Waljee, Akbar K.; Tang, Weijing; Zhang, Yueyang; Zhu, Ji; Deshpande, Amar R.; Rockey, Don C.; Alford, Teldon B.; Durkalski, Valerie; North American Alliance for the Study of Digestive Manifestations of COVID-19; Medicine, School of Medicine
    BACKGROUND & AIMS: The prevalence and significance of digestive manifestations in coronavirus disease 2019 (COVID-19) remain uncertain. We aimed to assess the prevalence, spectrum, severity, and significance of digestive manifestations in patients hospitalized with COVID-19. METHODS: Consecutive patients hospitalized with COVID-19 were identified across a geographically diverse alliance of medical centers in North America. Data pertaining to baseline characteristics, symptomatology, laboratory assessment, imaging, and endoscopic findings from the time of symptom onset until discharge or death were abstracted manually from electronic health records to characterize the prevalence, spectrum, and severity of digestive manifestations. Regression analyses were performed to evaluate the association between digestive manifestations and severe outcomes related to COVID-19. RESULTS: A total of 1992 patients across 36 centers met eligibility criteria and were included. Overall, 53% of patients experienced at least 1 gastrointestinal symptom at any time during their illness, most commonly diarrhea (34%), nausea (27%), vomiting (16%), and abdominal pain (11%). In 74% of cases, gastrointestinal symptoms were judged to be mild. In total, 35% of patients developed an abnormal alanine aminotransferase or total bilirubin level; these were increased to less than 5 times the upper limit of normal in 77% of cases. After adjusting for potential confounders, the presence of gastrointestinal symptoms at any time (odds ratio, 0.93; 95% CI, 0.76-1.15) or liver test abnormalities on admission (odds ratio, 1.31; 95% CI, 0.80-2.12) were not associated independently with mechanical ventilation or death. CONCLUSIONS: Among patients hospitalized with COVID-19, gastrointestinal symptoms and liver test abnormalities were common, but the majority were mild and their presence was not associated with a more severe clinical course.
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    Preventive Measures and Risk Factors for Post-ERCP Pancreatitis: A Systematic Review and Individual Patient Data Meta-Analysis
    (Springer, 2024) Sperna Weiland, Christina J.; Akshintala, Venkata S.; Singh, Anmol; Buxbaum, James; Choi, Jun-Ho; Elmunzer, Badih J.; Fogel, Evan S.; Lai, Jian-Han; Levenick, John M.; Gardner, Timothy B.; Lua, Guan W.; Luo, Hui; de Jong, Mike; Mok, Shaffer R. S.; Phillip, Veit; Singh, Vikesh; Siersema, Peter D.; Drenth, Joost P. H.; van Geenen, Erwin J. M.; Medicine, School of Medicine
    Background: Post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP) is the most common complication of ERCP, with limited studies comparing combined prophylactic measures and their efficacy relative to individual patient risk profiles. This study aims to perform an individual patient data meta-analysis (IPDMA) to evaluate the contribution of patient and ERCP-related risk factors to PEP development and to identify the best prophylaxis strategies according to the patient's risk profile. Methods: We systematically searched MEDLINE, Embase, and Cochrane databases until November 2022 for randomized controlled PEP prophylaxis trials. We invited authors to share individual patient data, including PEP risk profile and prophylaxes used. PEP incidence rates for different prophylaxis were calculated. Efficacy was compared using multilevel logistic regression and expressed as relative risk (RR). Subgroup analysis evaluated the role of patient and ERCP-related risk factors in developing PEP. Results: Data from 11 studies, including 6430 patients, were analyzed. After adjusting for risk factors, rectal NSAIDs (RR 0.69, 95%CI 0.54-0.88) and peri-procedural high-volume intravenous fluid (IVF) (RR 0.40, 95%CI 0.21-0.79) were effective in reducing PEP incidence, while no benefit was noted with pancreatic duct (PD) stents (RR 1.25, 95%CI 0.91-1.73). In patients receiving rectal NSAIDs (n = 2617), difficult cannulation (RR 1.99, 1.45-2.73), contrast injection into the pancreatic duct (PD) (RR2.37, 1.68-3.32), and prior history of PEP (RR 1.90, 1.06-3.41) were associated with increased PEP risk. Conclusion: This IPDMA confirms that rectal NSAIDs and peri-procedural IVF are effective PEP prophylactic strategies. Further studies focusing on combination therapy or the development of personalized PEP risk calculators are needed to improve prophylactic strategies.