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Development and Validation of Predictive Assessment of Complicated Diverticulitis Score

Authors :
Valerio Papa
Lorenzo Maria Vetrone
Antonio Tursi
Francesco Franceschi
Loris Riccardo Lopetuso
Antonio Gasbarrini
Alfredo Papa
Marcello Covino
Gianludovico Rapaccini
Benedetta Simeoni
Source :
Journal of Personalized Medicine, Volume 11, Issue 2, Journal of Personalized Medicine, Vol 11, Iss 80, p 80 (2021)
Publication Year :
2021
Publisher :
Multidisciplinary Digital Publishing Institute, 2021.

Abstract

The prevalence of acute diverticulitis (AD) has progressively increased in recent decades, with correspondingly greater morbidity and mortality. The aim of the study is to develop a predictive score to identify patients with the highest risk of complicated AD. The clinical records of 1089 patients referred to the emergency department (ED) over a five-year period were reviewed. In multivariate analysis, male sex (p &lt<br />0.001), constipation (p = 0.002), hemoglobin &lt<br />11.9 g/dL (p &lt<br />0.001), C reactive protein &gt<br />80 mg/L (p &lt<br />0.001), severe obesity (p = 0.049), and no proton pump inhibitor treatment (p = 0.003) were independently associated with complicated AD. The predictive assessment of complicated (PACO)-diverticulitis (D) score, including these six variables, was applied to the retrospective cohort and then validated prospectively in a cohort including 282 patients. It categorized patients into three risk classes for complicated AD. The PACO-D score showed fair discrimination for complicated AD with an area under the receiver operating characteristic curve of 0.674 and 0.648, in the retrospective and prospective cohorts, respectively. The PACO-D score could be a practical clinical tool to identify patients at highest risk for complicated AD referred to the ED so that appropriate diagnostic and therapeutic resources could be appropriately allocated. Further external validation is needed to confirm these results.

Details

Language :
English
ISSN :
20754426
Database :
OpenAIRE
Journal :
Journal of Personalized Medicine
Accession number :
edsair.doi.dedup.....6bbd0d5eee520f8b8cfc8996ea2b2a49
Full Text :
https://doi.org/10.3390/jpm11020080