OBJECTIVE: Acute uncomplicated diverticulitis is an important clinical condition usually managed in clinical practice with antibiotic therapies and hospitalization in ward. In this setting, recent papers and guidelines suggest to limit the use of antibiotics in selected cases and encourage an early discharge in low-risk patients. The purpose of this retrospective study is to identify serological inflammatory markers and CT findings of acute uncomplicated diverticulitis (AUD) at the onset of the disease and the correlation with the need for in-patient or out-patient management. PATIENTS AND METHODS: It was used a database drawn from the collection of the patients admitted to our Emergency Room from January 2016 to 2019 and undergoing urgent abdominal CT-scan for suspicious of acute diverticulitis. For each patient we considered biochemical and radiological parameters at the onset of the disease and if patients were managed as in-patients (hospitalization in ward) or as out-patient (early discharged or after observation in Short Stay Unit). RESULTS: Among patients with early diagnosis of AUD, 108 (65%) were hospitalized in ward with mean time of in-stay of 6.94 days, while only 58 (35%) patients with same diagnosis were managed as out-patient and early discharged from emergency room or after observation in short stay unit with a mean time of in-stay significantly shorter (3.39 days, p-value 0.0007). Higher levels of C reactive protein and the length of colon involved considered as percentage (%) in comparison with the entire colon were significantly related to the need for hospitalization (p-value 0.03). CONCLUSIONS: Biochemical parameters and a more advanced radiological evaluation, as the length (%) of colon involved, could allow a stratification of patients with diagnosis of AUD at the admission and help physicians in the early management.
|Numero di pagine||9|
|Rivista||European Review for Medical and Pharmacological Sciences|
|Stato di pubblicazione||Pubblicato - 2020|
- Antibiotic therapy
- Diverticular disease
- Personalized medicine