Literature DB >> 24755836

Comparison of APACHE II, P-POSSUM and SAPS II scoring systems in patients underwent planned laparotomies due to secondary peritonitis.

Koray Das, Mehmet Ozdogan, Faruk Karateke, Abdurrahman Selcuk Uzun, Selim Sozen, Sabri Ozdas.   

Abstract

BACKGROUND: The first aim of this study was to discuss the factors affecting mortality rate in patients with severe intraabdominal sepsis treated with planned relaparotomy. The second aim was to compare APACHEE II, P-POSSUM and SAPS II scoring systems to allow identification of high-risk patients.
MATERIAL AND METHODS: A series of 34 patients who had intra-abdominal sepsis and treated with planned relaparotomy between January 2009 and January 2012 were included the study. The source of the peritonitis, type and number of surgical procedures, number of planned relaparatomies, microbiology surveillance, total intensive care unit (ICU) and hospital stay duration, number of intubated days, morbidity and mortality were analyzed. APACHEE II, SAPS II, P-POSSUM scores and estimated mortality ranges at admission were compared.
RESULTS: The mean age was 46 (16-76 years) and 73.5 % (n=25) were male. A total of 119 operations and 50 surgical procedures were performed. The overall mortality rate was 20.6% (n=7). Complications developed in %53 (n=18) of the patients. Mortality was higher in upper GIS leaks (6/20 versus 1/14 patients). Areas under the curve calculated by ROC curve analysis for APACHE II, SAPS II and P-POSSUM were 0.958, 0.955 and 0.931, respectively. The highest values for sensitivity (100%) and specivity (85.2%) together were reached in APACHE II, when cut off value for it was set to 20.5. The SAPS II and P-POSSUM physiology scores were correlated with overall hospital stay (p=0.022 r=0.438 and p=0.001 r=0.609 respectively), but this correlation was not found for APACHEE II score (p=0.085 r=0.337). However, all three scoring systems provided clear estimation of ICU stay duration.
CONCLUSION: We suggest that, in secondary peritonitis patients reserved for planned relaparotomy, APACHE II is more reliable for prediction of mortality and P-POSSUM scoring system is more reliable for prediction of overall hospital stay duration.

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Year:  2014        PMID: 24755836

Source DB:  PubMed          Journal:  Ann Ital Chir        ISSN: 0003-469X            Impact factor:   0.766


  6 in total

1.  POSSUM: A Scoring System for Perforative Peritonitis.

Authors:  Ambarish S Chatterjee; D N Renganathan
Journal:  J Clin Diagn Res       Date:  2015-04-01

Review 2.  Management of intra-abdominal infections: recommendations by the WSES 2016 consensus conference.

Authors:  Massimo Sartelli; Fausto Catena; Fikri M Abu-Zidan; Luca Ansaloni; Walter L Biffl; Marja A Boermeester; Marco Ceresoli; Osvaldo Chiara; Federico Coccolini; Jan J De Waele; Salomone Di Saverio; Christian Eckmann; Gustavo P Fraga; Maddalena Giannella; Massimo Girardis; Ewen A Griffiths; Jeffry Kashuk; Andrew W Kirkpatrick; Vladimir Khokha; Yoram Kluger; Francesco M Labricciosa; Ari Leppaniemi; Ronald V Maier; Addison K May; Mark Malangoni; Ignacio Martin-Loeches; John Mazuski; Philippe Montravers; Andrew Peitzman; Bruno M Pereira; Tarcisio Reis; Boris Sakakushev; Gabriele Sganga; Kjetil Soreide; Michael Sugrue; Jan Ulrych; Jean-Louis Vincent; Pierluigi Viale; Ernest E Moore
Journal:  World J Emerg Surg       Date:  2017-05-04       Impact factor: 5.469

3.  Novel Multiparametric Nomogram for Overall Survival Prediction in Complicated Intra-Abdominal Infection: A Multicenter Study in China.

Authors:  Sisi Huang; Limin Chen; Jiao Liu; Sheng Zhang; Lidi Zhang; Zhenliang Wen; Yizhu Chen; Dechang Chen
Journal:  Front Med (Lausanne)       Date:  2021-02-22

4.  Assessing the risk: Scoring systems for outcome prediction in emergency laparotomies.

Authors:  Deb Sanjay Nag
Journal:  Biomedicine (Taipei)       Date:  2015-11-28

5.  Getting the invite list right: a discussion of sepsis severity scoring systems in severe complicated intra-abdominal sepsis and randomized trial inclusion criteria.

Authors:  Matti Tolonen; Federico Coccolini; Luca Ansaloni; Massimo Sartelli; Derek J Roberts; Jessica L McKee; Ari Leppaniemi; Christopher J Doig; Fausto Catena; Timothy Fabian; Craig N Jenne; Osvaldo Chiara; Paul Kubes; Yoram Kluger; Gustavo P Fraga; Bruno M Pereira; Jose J Diaz; Michael Sugrue; Ernest E Moore; Jianan Ren; Chad G Ball; Raul Coimbra; Elijah Dixon; Walter Biffl; Anthony MacLean; Paul B McBeth; Juan G Posadas-Calleja; Salomone Di Saverio; Jimmy Xiao; Andrew W Kirkpatrick
Journal:  World J Emerg Surg       Date:  2018-04-06       Impact factor: 5.469

Review 6.  Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support.

Authors:  Mohamed Khalifa; Farah Magrabi; Blanca Gallego
Journal:  BMC Med Inform Decis Mak       Date:  2019-10-29       Impact factor: 2.796

  6 in total

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