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Published on: February 14, 2021
Predictors of acute diverticulitis severity: A systematic review
James P L Tan1, Ahmed W H Barazanchi2, Primal P Singh3
1Department of Surgery, South Auckland Clinical School, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; Middlemore Hospital, Counties Manukau District Health Board, Auckland, New Zealand.
Identifying severe acute diverticulitis early is crucial. Factors like first-time episodes, comorbidities, NSAID/steroid use, high CRP, and imaging findings predict severity, guiding treatment decisions for better patient outcomes.
Area of Science:
- Gastroenterology
- Surgical Gastroenterology
- Medical Diagnostics
Background:
- Diverticulitis presents with variable severity, lacking specific predictive tools for disease progression.
- Existing scoring systems focus on diagnosis and prognosis of severe complications, not initial severity prediction.
- Predicting acute diverticulitis severity is underexplored, necessitating identification of key predictive factors.
Purpose of the Study:
- To systematically review and identify factors that predict severe acute diverticulitis.
- To inform early clinical decision-making and resource allocation for diverticulitis patients.
Main Methods:
- A systematic literature search was conducted across major databases (Medline, PubMed, EMBASE, Cochrane Library).
- Studies evaluating predictors of severe diverticulitis were included.
- Severe diverticulitis was defined by complications (hemorrhage, abscess, perforation, peritonitis, obstruction) or adverse outcomes (prolonged admission, surgery, death).
Main Results:
- Twenty-one articles were analyzed, categorizing predictors into patient characteristics, medications, biochemical markers, and imaging.
- Key predictors of severe diverticulitis include: first episode, high Charlson comorbidity score (≥3), NSAID use, steroid use, elevated C-reactive protein (CRP) on admission, and severe findings on radiological imaging.
- Age and gender were not found to be associated with disease severity.
Conclusions:
- Several factors can predict severe acute diverticulitis, aiding in risk stratification.
- Computed Tomography (CT) remains the gold standard for diagnosing complicated diverticulitis.
- Patients with identified risk factors require early imaging, close observation, and potentially earlier surgical intervention, while those without may be managed as outpatients.
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