4.7 Article

Low Mortality and High Morbidity in Severe Acute Pancreatitis Without Organ Failure: A Case for Revising the Atlanta Classification to Include Moderately Severe Acute Pancreatitis

Journal

AMERICAN JOURNAL OF GASTROENTEROLOGY
Volume 104, Issue 3, Pages 710-715

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1038/ajg.2008.77

Keywords

-

Ask authors/readers for more resources

OBJECTIVES: Organ failure (OF) is a main cause of death in severe acute pancreatitis (SAP). Our primary aim was to evaluate the morbidity and mortality of patients admitted with SAP with no OF (NOF), single OF (SOF), and multiple (>= 2) OF (MOF). METHODS: Medical records of 207 consecutive patients admitted with SAP to the Mayo Clinic between 1992 and 2001 were reviewed. OF was defined according to the Atlanta classification and patients were categorized in the three groups-NOF, SOF, and MOF. Primary outcomes were in-hospital mortality, duration of hospitalization, need for the intensive care unit (ICU), and the mean length of stay in the ICU. RESULTS: OF occurred in 108 patients (52%). Gastrointestinal bleeding occurred in 18%, respiratory failure in 36 %, hypotension in 28%, and renal failure in 26 %. Compared to patients with MOF, patients with NOF had shorter hospitalizations (28 vs. 55 days, P=0.02), less need for ICU care (50 % vs. 90%, P=0.001), shorter time in the ICU ( 5 vs. 34 days, P < 0.05), and decreased in hospital mortality (2% vs. 46 %, P < 0.01). Odds ratios evaluating the risk of in-hospital mortality for subjects with any OF was 28 (7-186), 10 (2-69) for patients with SOF, and 64 (15-464) for patients with MOF. CONCLUSIONS: Patients with SAP and NOF have prolonged hospitalizations but low mortality. The Atlanta classification should be revised to include a patient group defined as moderately severe acute pancreatitis that identifies those patients currently classified as SAP without OF.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Gastroenterology & Hepatology

Validation of the Enriching New-Onset Diabetes for Pancreatic Cancer Model in a Diverse and Integrated Healthcare Setting

Wansu Chen, Rebecca K. Butler, Eva Lustigova, Suresh T. Chari, Bechien U. Wu

Summary: The END-PAC model was validated in a cohort of NOD patients, with a higher risk of developing PDAC in high-risk patients, particularly among white individuals. At the 3+ threshold, the model showed sensitivity, specificity, PPV, and NPV values of 62.6%, 78.5%, 2.0%, and 99.7%, respectively. Efforts are needed to develop appropriate screening strategies for patients with NOD in real-world settings.

DIGESTIVE DISEASES AND SCIENCES (2021)

Article Gastroenterology & Hepatology

Impact of disconnected pancreatic duct syndrome on endoscopic ultrasound-guided drainage of pancreatic fluid collections

Lillian Wang, Sherif Elhanafi, Andrew C. Storm, Mark D. Topazian, Shounak Majumder, Barham K. Abu Dayyeh, Michael J. Levy, Bret T. Petersen, John A. Martin, Suresh T. Chari, Santhi S. Vege, Vinay Chandrasekhara

Summary: DPDS is frequently seen in patients with PFCs, but does not impact successful resolution. Patients with DPDS have an increased risk of PFC recurrence after stent removal.

ENDOSCOPY (2021)

Article Gastroenterology & Hepatology

The long-term outcomes of patients with immunoglobulin G4-related sclerosing cholangitis: the Mayo Clinic experience

Ahmad Hassan Ali, Yan Bi, Jorge D. Machicado, Sushil Garg, Ryan J. Lennon, Lizhi Zhang, Naoki Takahashi, Elizabeth J. Carey, Keith D. Lindor, J. Gage Buness, James H. Tabibian, Suresh T. Chari

JOURNAL OF GASTROENTEROLOGY (2020)

Article Gastroenterology & Hepatology

Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential benefits of early intervention: A retrospective study

Dhruv Pratap Singh, Shannon Sheedy, Ajit H. Goenka, Michael Wells, Nam Ju Lee, John Barlow, Ayush Sharma, Harika Kandlakunta, Shruti Chandra, Sushil Kumar Garg, Shounak Majumder, Michael J. Levy, Naoki Takahashi, Suresh T. Chari

PANCREATOLOGY (2020)

Correction Pharmacology & Pharmacy

Polychlorinated biphenyl exposures differentially regulate hepatic metabolism and pancreatic function: Implications for nonalcoholic steatohepatitis and diabetes (vol 363, pg 22, 2018)

Hongxue Shi, Jian Jin, Josiah E. Hardesty, K. Cameron Falkner, Russell A. Prough, Appakalai N. Balamurugan, Sri Prakash Mokshagundam, Suresh T. Chari, Matthew C. Cave

TOXICOLOGY AND APPLIED PHARMACOLOGY (2020)

Article Gastroenterology & Hepatology

Utilisation of artificial intelligence for the development of an EUS-convolutional neural network model trained to enhance the diagnosis of autoimmune pancreatitis

Neil B. Marya, Patrick D. Powers, Suresh T. Chari, Ferga C. Gleeson, Cadman L. Leggett, Barham K. Abu Dayyeh, Vinay Chandrasekhara, Prasad G. Iyer, Shounak Majumder, Randall K. Pearson, Bret T. Petersen, Elizabeth Rajan, Tarek Sawas, Andrew C. Storm, Santhi S. Vege, Shigao Chen, Zaiyang Long, David M. Hough, Kristin Mara, Michael J. Levy

Summary: The study developed an endoscopic ultrasound-based convolutional neural network model that can differentiate autoimmune pancreatitis from other pancreatic diseases in real time with high accuracy. The use of this model can help in early diagnosis and improve patient outcomes.
Biographical-Item Gastroenterology & Hepatology

Memorial Tribute to Rakesh Kumar Tandon, MD, PhD (1941-2020)

Pramod K. Garg, Suresh T. Chari, Ashok K. Saluja

PANCREAS (2021)

Editorial Material Gastroenterology & Hepatology

Understanding the Contribution of Insulin Resistance to the Risk of Pancreatic Cancer

Frederico G. S. Toledo, Suresh Chari, Dhiraj Yadav

Summary: The study demonstrates that insulin resistance can independently increase pancreatic cancer mortality, even in individuals without diabetes and hyperglycemia. This finding has significant implications for our understanding of pancreatic cancer risk.

AMERICAN JOURNAL OF GASTROENTEROLOGY (2021)

Article Oncology

High Detection Rates of Pancreatic Cancer Across Stages by Plasma Assay of Novel Methylated DNA Markers and CA19-9

Shounak Majumder, William R. Taylor, Patrick H. Foote, Calise K. Berger, Chung Wah Wu, Douglas W. Mahoney, William R. Bamlet, Kelli N. Burger, Neil Postier, Jaime de la Fuente, Karen A. Doering, Graham P. Lidgard, Hatim T. Allawi, Gloria M. Petersen, Suresh T. Chari, David A. Ahlquist, John B. Kisiel

Summary: This study aimed to evaluate the diagnostic performance of plasma MDMs for PDAC, and the results showed that the combination of plasma MDMs with CA19-9 detects PDAC with significantly higher accuracy compared with either biomarker individually, especially for early-stage PDAC patients.

CLINICAL CANCER RESEARCH (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset

Ananya Panda, Panagiotis Korfiatis, Garima Suman, Sushil K. Garg, Eric C. Polley, Dhruv P. Singh, Suresh T. Chari, Ajit H. Goenka

Summary: The study developed a two-stage 3D convolutional neural network for fully automated volumetric pancreas segmentation on CT images, and evaluated its performance across different CT slice thicknesses, radiation doses, and patient gender. The model showed high accuracy and reliability in pancreas segmentation, making it a scalable tool for leveraging biomarkers in pancreatic diseases, including early detection of pancreatic cancer.

MEDICAL PHYSICS (2021)

Article Gastroenterology & Hepatology

Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review

Barbara Kenner, Suresh T. Chari, David Kelsen, David S. Klimstra, Stephen J. Pandol, Michael Rosenthal, Anil K. Rustgi, James A. Taylor, Adam Yala, Noura Abul-Husn, Dana K. Andersen, David Bernstein, Soren Brunak, Marcia Irene Canto, Yonina C. Eldar, Elliot K. Fishman, Julie Fleshman, Vay Liang W. Go, Jane M. Holt, Bruce Field, Ann Goldberg, William Hoos, Christine Iacobuzio-Donahue, Debiao Li, Graham Lidgard, Anirban Maitra, Lynn M. Matrisian, Sung Poblete, Laura Rothschild, Chris Sander, Lawrence H. Schwartz, Uri Shalit, Sudhir Srivastava, Brian Wolpin

Summary: Despite the challenging prognosis of pancreatic cancer, AI methodology has shown promise in risk stratification and identification, potentially improving early detection efforts for the disease. Collaborative efforts among investigators and institutions from multidisciplinary backgrounds, supported by committed funders, are crucial for significant progress in this area.

PANCREAS (2021)

Review Gastroenterology & Hepatology

Pancreatic cancer in patients with autoimmune pancreatitis: A scoping review

Peter Macinga, Lukas Bajer, Marco Del Chiaro, Suresh T. Chari, Petr Dite, Luca Frulloni, Tsukasa Ikeura, Terumi Kamisawa, Kensuke Kubota, Itaru Naitoh, Kazuichi Okazaki, Raffaele Pezzilli, Miroslav Vujasinovic, Julius Spicak, Tomas Hucl, Matthias Lohr

Summary: Numerous cases of PDAC in AIP patients have been reported in the literature. PDAC is more frequent in AIP type 1 patients, typically metachronous in character, and generally found in the part of the pancreas affected by AIP.

PANCREATOLOGY (2021)

Article Gastroenterology & Hepatology

Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications

Garima Suman, Anurima Patra, Panagiotis Korfiatis, Shounak Majumder, Suresh T. Chari, Mark J. Truty, Joel G. Fletcher, Ajit H. Goenka

Summary: This study aims to evaluate the quality gaps in public pancreas imaging datasets, revealing substantial quality gaps, sources of bias, and a significant proportion of CTs unsuitable for AI. The published studies using these datasets do not take these quality gaps into consideration.

PANCREATOLOGY (2021)

Review Oncology

Role of Pancreatic Stellate Cell-Derived Exosomes in Pancreatic Cancer-Related Diabetes: A Novel Hypothesis

Chamini J. Perera, Marco Falasca, Suresh T. Chari, Jerry R. Greenfield, Zhihong Xu, Romano C. Pirola, Jeremy S. Wilson, Minoti V. Apte

Summary: PDAC is a rapidly fatal disease with a major association with new onset diabetes, which could serve as an early sign of the disease. PCRD may be the result of exosomal cargo released by PDAC cells and pancreatic stellate cells working together.

CANCERS (2021)

Article Gastroenterology & Hepatology

An international study of interobserver variability of string sign of pancreatic cysts among experienced endosonographers

Seifeldin Hakim, Emmanuel Coronel, Graciela M. Nogueras Gonzalez, Philip S. Ge, Suresh T. Chari, Nirav Thosani, Srinivas Ramireddy, Ricardo Badillo, Tomas DaVee, Marc F. Catalano, Robert J. Sealock, Sreeram Parupudi, Lyndon Hernandez, Virendra Joshi, Atsushi Irisawa, Surinder Rana, Sundeep Lakhtakia, Peter Vilmann, Adrian Saftoiu, Siyu Sun, Marc Giovannini, Matthew H. Katz, Michael P. Kim, Manoop S. Bhutani

Summary: The string sign test shows good interobserver agreement in distinguishing mucinous from nonmucinous pancreatic cysts among 14 observers. However, there is significant variability among observers in the length of the string and the cutoff length for a positive string sign.

ENDOSCOPIC ULTRASOUND (2021)

No Data Available