Your browser doesn't support javascript.
loading
Prospective Validation of a Prediction Model for the Diagnosis of Acute Pancreatitis.
Jin, David X; Lacson, Ronilda; Eskian, Mahsa; McNabb-Baltar, Julia; Banks, Peter A; Kayden, Stephanie R; Raja, Ali S; Khorasani, Ramin.
Afiliación
  • Jin DX; Center for Pancreatic Disease, Division of Gastroenterology, Hepatology, and Endoscopy, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Lacson R; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Eskian M; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • McNabb-Baltar J; Center for Pancreatic Disease, Division of Gastroenterology, Hepatology, and Endoscopy, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Banks PA; Center for Pancreatic Disease, Division of Gastroenterology, Hepatology, and Endoscopy, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Kayden SR; Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Raja AS; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Khorasani R; Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston.
JAMA Netw Open ; 7(6): e2419014, 2024 Jun 03.
Article en En | MEDLINE | ID: mdl-38941094
ABSTRACT
Importance While most patients with acute pancreatitis (AP) fulfill diagnostic criteria with characteristic abdominal pain and serum lipase levels of at least 3 times the upper limit of normal (reference range) at presentation, early imaging is often used for confirmation. A prior prediction model and corresponding point-based score were developed using nonimaging parameters to diagnose AP in patients presenting to the emergency department (ED).

Objective:

To evaluate the performance of the prediction model to diagnose AP in a prospective patient cohort. Design, Setting, and

Participants:

This prospective diagnostic study included consecutive adult patients presenting to the ED between January 1, 2020, and March 9, 2021, at 2 large academic medical centers in the northeastern US with serum lipase levels at least 3 times the upper limit of normal. Patients transferred from outside institutions or with malignant disease and established intra-abdominal metastases, acute trauma, or altered mentation were excluded. Data were analyzed from October 15 to October 23, 2023. Exposures Participants were assigned scores for initial serum lipase level, number of prior AP episodes, prior cholelithiasis, abdominal surgery within 2 months, presence of epigastric pain, pain of worsening severity, duration from pain onset to presentation, and pain level at ED presentation. Main Outcome and

Measures:

A final diagnosis of AP, established by expert review of hospitalization records.

Results:

Prospective scores in 349 participants (mean [SD] age, 53.0 [18.8] years; 184 women [52.7%]; 66 Black [18.9%]; 199 White [57.0%]) demonstrated an area under the receiver operating characteristics curve of 0.91. A score of at least 6 points achieved highest accuracy (F score, 82.0), corresponding to a sensitivity of 81.5%, specificity of 85.9%, positive predictive value of 82.6%, and negative predictive value of 85.1% for AP diagnosis. Early computed tomography or magnetic resonance imaging was performed more often in participants predicted to have AP (116 of 155 [74.8%] with a score ≥6 vs 111 of 194 [57.2%] with a score <6; P < .001). Early imaging revealed an alternative diagnosis in 8 of 116 participants (6.9%) with scores of at least 6 points, 1 of 93 (1.1%) with scores of at least 7 points, and 1 of 73 (1.4%) with scores of at least 8 points. Conclusions and Relevance In this multicenter diagnostic study, the prediction model demonstrated excellent AP diagnostic accuracy. Its application may be used to avoid unnecessary confirmatory imaging.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pancreatitis / Lipasa Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: JAMA Netw Open Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pancreatitis / Lipasa Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: JAMA Netw Open Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos