AUTHOR=Mikó Alexandra , Vigh Éva , Mátrai Péter , Soós Alexandra , Garami András , Balaskó Márta , Czakó László , Mosdósi Bernadett , Sarlós Patrícia , Erőss Bálint , Tenk Judit , Rostás Ildikó , Hegyi Péter TITLE=Computed Tomography Severity Index vs. Other Indices in the Prediction of Severity and Mortality in Acute Pancreatitis: A Predictive Accuracy Meta-analysis JOURNAL=Frontiers in Physiology VOLUME=10 YEAR=2019 URL=https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2019.01002 DOI=10.3389/fphys.2019.01002 ISSN=1664-042X ABSTRACT=

Background: The management of the moderate and severe forms of acute pancreatitis (AP) with necrosis and multiorgan failure remains a challenge. To predict the severity and mortality of AP multiple clinical, laboratory-, and imaging-based scoring systems are available.

Aim: To investigate, if the computed tomography severity index (CTSI) can predict the outcomes of AP better than other scoring systems.

Methods: A systematic search was performed in three databases: Pubmed, Embase, and the Cochrane Library. Eligible records provided data from consecutive AP cases and used CTSI or modified CTSI (mCTSI) alone or in combination with other prognostic scores [Ranson, bedside index of severity in acute pancreatitis (BISAP), Acute Physiology, and Chronic Health Examination II (APACHE II), C-reactive protein (CRP)] for the evaluation of severity or mortality of AP. Area under the curves (AUCs) with 95% confidence intervals (CIs) were calculated and aggregated with STATA 14 software using the metandi module.

Results: Altogether, 30 studies were included in our meta-analysis, which contained the data of 5,988 AP cases. The pooled AUC for the prediction of mortality was 0.79 (CI 0.73–0.86) for CTSI; 0.87 (CI 0.83–0.90) for BISAP; 0.80 (CI 0.72–0.89) for mCTSI; 0.73 (CI 0.66–0.81) for CRP level; 0.87 (CI 0.81–0.92) for the Ranson score; and 0.91 (CI 0.88–0.93) for the APACHE II score. The APACHE II scoring system had significantly higher predictive value for mortality than CTSI and CRP (p = 0.001 and p < 0.001, respectively), while the predictive value of CTSI was not statistically different from that of BISAP, mCTSI, CRP, or Ranson criteria. The AUC for the prediction of severity of AP were 0.80 (CI 0.76–0.85) for CTSI; 0.79, (CI 0.72–0.86) for BISAP; 0.83 (CI 0.75–0.91) for mCTSI; 0.73 (CI 0.64–0.83) for CRP level; 0.81 (CI 0.75–0.87) for Ranson score and 0.80 (CI 0.77–0.83) for APACHE II score. Regarding severity, all tools performed equally.

Conclusion: Though APACHE II is the most accurate predictor of mortality, CTSI is a good predictor of both mortality and AP severity. When the CT scan has been performed, CTSI is an easily calculable and informative tool, which should be used more often in routine clinical practice.