| Literature DB >> 24883079 |
Massimo Sartelli1, Fausto Catena2, Luca Ansaloni3, Federico Coccolini3, Davide Corbella4, Ernest E Moore5, Mark Malangoni6, George Velmahos7, Raul Coimbra8, Kaoru Koike9, Ari Leppaniemi10, Walter Biffl5, Zsolt Balogh11, Cino Bendinelli11, Sanjay Gupta12, Yoram Kluger13, Ferdinando Agresta14, Salomone Di Saverio15, Gregorio Tugnoli15, Elio Jovine16, Carlos A Ordonez17, James F Whelan18, Gustavo P Fraga19, Carlos Augusto Gomes20, Gerson Alves Pereira21, Kuo-Ching Yuan22, Miklosh Bala23, Miroslav P Peev7, Offir Ben-Ishay13, Yunfeng Cui24, Sanjay Marwah25, Sanoop Zachariah26, Imtiaz Wani27, Muthukumaran Rangarajan28, Boris Sakakushev29, Victor Kong30, Adamu Ahmed31, Ashraf Abbas32, Ricardo Alessandro Teixeira Gonsaga33, Gianluca Guercioni34, Nereo Vettoretto35, Elia Poiasina3, Rafael Díaz-Nieto36, Damien Massalou37, Matej Skrovina38, Ihor Gerych39, Goran Augustin40, Jakub Kenig41, Vladimir Khokha42, Cristian Tranà43, Kenneth Yuh Yen Kok44, Alain Chichom Mefire45, Jae Gil Lee46, Suk-Kyung Hong47, Helmut Alfredo Segovia Lohse48, Wagih Ghnnam32, Alfredo Verni49, Varut Lohsiriwat50, Boonying Siribumrungwong51, Tamer El Zalabany52, Alberto Tavares53, Gianluca Baiocchi54, Koray Das55, Julien Jarry56, Maurice Zida57, Norio Sato9, Kiyoshi Murata58, Tomohisa Shoko59, Takayuki Irahara60, Ahmed O Hamedelneel61, Noel Naidoo62, Abdul Rashid Kayode Adesunkanmi63, Yoshiro Kobe64, Wataru Ishii65, Kazuyuki Oka66, Yoshimitsu Izawa67, Hytham Hamid68, Iqbal Khan68, Ak Attri13, Rajeev Sharma13, Juan Sanjuan17, Marisol Badiel17, Rita Barnabé16.
Abstract
The CIAOW study (Complicated intra-abdominal infections worldwide observational study) is a multicenter observational study underwent in 68 medical institutions worldwide during a six-month study period (October 2012-March 2013). The study included patients older than 18 years undergoing surgery or interventional drainage to address complicated intra-abdominal infections (IAIs). 1898 patients with a mean age of 51.6 years (range 18-99) were enrolled in the study. 777 patients (41%) were women and 1,121 (59%) were men. Among these patients, 1,645 (86.7%) were affected by community-acquired IAIs while the remaining 253 (13.3%) suffered from healthcare-associated infections. Intraperitoneal specimens were collected from 1,190 (62.7%) of the enrolled patients. 827 patients (43.6%) were affected by generalized peritonitis while 1071 (56.4%) suffered from localized peritonitis or abscesses. The overall mortality rate was 10.5% (199/1898). According to stepwise multivariate analysis (PR = 0.005 and PE = 0.001), several criteria were found to be independent variables predictive of mortality, including patient age (OR = 1.1; 95%CI = 1.0-1.1; p < 0.0001), the presence of small bowel perforation (OR = 2.8; 95%CI = 1.5-5.3; p < 0.0001), a delayed initial intervention (a delay exceeding 24 hours) (OR = 1.8; 95%CI = 1.5-3.7; p < 0.0001), ICU admission (OR = 5.9; 95%CI = 3.6-9.5; p < 0.0001) and patient immunosuppression (OR = 3.8; 95%CI = 2.1-6.7; p < 0.0001).Entities:
Year: 2014 PMID: 24883079 PMCID: PMC4039043 DOI: 10.1186/1749-7922-9-37
Source DB: PubMed Journal: World J Emerg Surg ISSN: 1749-7922 Impact factor: 5.469
Figure 1Participating centers for each continent.
Clinical findings
| Abdominal pain | 288 (15.1) |
| Abdominal pain, abdominal rigidity | 284 (15%) |
| Abdominal pain, abdominal rigidity, T > 38°C or <36°C, WBC >12,000 or < 4,000 | 314 (16.5%) |
| Abdominal pain, abdominal rigidity, T > 38°C or <36°C, | 67 (3.5) |
| Abdominal pain, abdominal rigidity, WBC >12,000 or < 4,000 | 376 (19.8%) |
| Abdominal pain, T > 38°C or <36°C, | 68 (3.6%) |
| Abdominal pain, T > 38°C or <36°C, WBC >12,000 or < 4,000 | 139 (7.3%) |
| Abdominal pain, WBC >12,000 or < 4,000 | 266 (14%) |
| T > 38°C or <36°C | 6 (0.3%) |
| T > 38°C or <36°C, WBC >12,000 or < 4,000 | 12 (0.6%) |
| Abdominal rigidity, WBC >12,000 or < 4,000 | 9 (0.5%) |
| Abdominal rigidity | 2 (0.1%) |
| Abdominal rigidity, T > 38°C or <36°C | 1 (0.05%) |
| Abdominal pain, abdominal rigidity, T > 38°C or <36°C, WBC >12,000 or < 4,000 | 7 (0.4%) |
| WBC >12,000 or < 4,000 | 11 (0.6%) |
| Not reported | 48 (2.5%) |
Radiological procedures
| Abdomen X ray | 240 (12.6%) |
| Abdomen X ray, CT | 102 (5.4%) |
| Abdomen X ray, ultrasound | 356 (18.7%) |
| Abdomen X ray, ultrasound, CT | 112 (5.9%) |
| Abdomen X ray, ultrasound, MRI | 4 (0.2%) |
| Abdomen X ray, CT,ultrasound, MRI | 7 (0.4%) |
| CT | 426 (22.4%) |
| CT, MRI | 2 (0.1%) |
| Ultrasound | 384 (20.2%) |
| Ultrasound, CT | 87 (4.6%) |
| Ultrasound, CT, MRI | 1 (0.05%) |
| Ultrasound, MRI | 3 (0.1%) |
| MRI | 1 (0.05%) |
| Not reported | 173 (9.1%) |
Source of infection
| Appendicitis | 633 (33.3%) |
| Cholecystitis | 278 (14.6%) |
| Post-operative | 170 (15.,9%) |
| Colonic non diverticular perforation | 115 (9.9%) |
| Gastroduodenal perforations | 253 (13.3%) |
| Diverticulitis | 106 (5.6%) |
| Small bowel perforation | 145 (7.6%) |
| Others | 122 (6.4%) |
| PID | 30 (1.6%) |
| Post traumatic perforation | 46 (2.4%) |
Aerobic bacteria identified from intra-operative peritoneal fluid
| Escherichia coli | 548 (41.2%) |
| (Escherichia coli resistant to third generation cephalosporins) | 75 (5.6%) |
| Klebsiella pneuumoniae | 140 (10.5%) |
| (Klebsiella pneumoniae resistant to third generation cephalosporins) | 26 (1.4%) |
| Klebsiella oxytoca | 11 (0.8%) |
| (Klebsiella oxytoca resistant to third generation cephalosporins) | 2 (0.1) |
| Enterobacter | 64 (4.8%) |
| Proteus | 47 (3.5%) |
| Pseudomonas | 74 (5.6%) |
| Others | 73 (5.6%) |
| Enterococcus faecalis | 153 (11.5%) |
| Enterococcus faecium | 58 (4.4%) |
| Staphylococcus Aureus | 38 (2.8%) |
| Streptococcus spp. | 85 (6,4%) |
| Others | 39 (2.9%) |
Aerobic bacteria from intra-operative samples in both community-acquired and healthcare-associated IAIs
| Aerobic bacteria | 1030 (100%) | Aerobic bacteria | 300 (100%) |
| Escherichia coli | 456 (44.3%) | Escherichia coli | 92 (21%) |
| (Escherichia coli resistant to third generation cephalosporins) | 56 (5.4%) | (Escherichia coli resistant to third generation cephalosporins) | 19 (6.3%) |
| Klebsiella pneumoniae | 105 (10.1%) | Klebsiella pneumoniae | 35 (11.7%) |
| (Klebsiella pneumoniae resistant to third generation cephalosporins) | 11 (0.1%) | (Klebsiella pneumoniae resistant to third generation cephalosporins) | 15 (5%) |
| Pseudomonas | 56 (5.4%) | Pseudomonas | 18 (5.7%) |
| Enterococcus faecalis | 106 (10.3%) | Enterococcus faecalis | 47 (15.7%) |
| Enterococcus faecium | 38 (3.7%) | Enterococcus faecium | 20 (6.7%) |
Microorganisms identified from subsequent peritoneal samples
| Escherichia coli | 105 (41.8%) |
| (Escherichia coli resistant to third generation cephalosporins) | 35 (13.%) |
| Klebsiella pneuumoniae | 41 (15.3%) |
| (Klebsiella pneumoniae resistant to third generation cephalosporins) | 13 (4.8%) |
| Pseudomonas | 20 (7.4%) |
| Others | 29 (10.8%) |
| Enterococcus faecalis | 16 (6%) |
| Enterococcus faecium | 10 (3.4%) |
| Staphylococcus Aureus | 7 (4%) |
| Others | 8 (3%) |
| Bacteroides | 8 (3%) |
| Candida albicans | 17 (6%) |
| Non candida albicans | 6 (2.2%) |
| Other yeats | 2 (0.7%) |
Total of microorganisms identified from both intraoperative and subsequent peritoneal samples
| Escherichia coli | 653 (35.7%) |
| (Escherichia coli resistant to third generation cephalosporins) | 110 (6%) |
| Klebsiella pneuumoniae | 181 (9.9%) |
| (Klebsiella pneumoniae resistant to third generation cephalosporins) | 39 (2.1%) |
| Klebsiella oxytoca | 11 (0.6%) |
| (Klebsiella oxytoca resistant to third generation cephalosporins) | 2 (0.1) |
| Enterobacter | 75 (4.1%) |
| Proteus | 52 (2.8%) |
| Pseudomonas | 94 (5.1%) |
| Others | 102 (5.6%) |
| Enterococcus faecalis | 169 (9.2%) |
| Enterococcus faecium | 68 (3.7%) |
| Staphylococcus Aureus | 46 (2.5%) |
| Streptococcus spp. | 85 (4.6%) |
| Others | 47 (2.6%) |
| Bacteroides | 108 (5.9%) |
| (Bacteroides resistant to Metronidazole) | 3 (0.2%) |
| Clostridium | 11 (0.6%) |
| Others | 22 (1.2%) |
| Candida albicans | 90 (4.9%) |
| (Candida albicans resistant to Fluconazole) | 2 (0.1%) |
| Non-albicans Candida | 27 (1.4%) |
| (non-albicans Candida resistant to Fluconazole) | 3 (0.1%) |
| Other yeats | 2 (0.1%) |
Anaerobic bacteria identified from intra-operative peritoneal fluid
| Bacteroides | 100 (75%) |
| (Bacteroides resistant to Metronidazole) | 3 (1.5%) |
| Clostridium | 11 (8.2%) |
| Others | 22 (16.5%) |
Candida isolates identified from intra-operative peritoneal fluid
| Candida albicans | 73 (78.7%) |
| (Candida albicans resistant to Fluconazole) | 2 (2.1%) |
| Non-albicans Candida | 21 (19.1%) |
| (non-albicans Candida resistant to Fluconazole) | 3 (3.2%) |
Univariate analysis: risk factors for occurrence of death during hospitalization
| | | | |
| Severe sepsis | 27.6 | 15.9-47.8 | <0.0001 |
| Septic shock | 14.6 | 8.7-24.4 | <0.0001 |
| Healthcare associated infection | 3.1 | 2.2-4.5 | <0.0001 |
| | | | |
| Colonic non-diverticular perforation | 21 | 9.9-44.6 | <0.0001 |
| Small bowel perforation | 125.7 | 29.1-542 | <0.0001 |
| Complicated diverticulitis | 11 | 4.9-25.2 | <0.0001 |
| Post-operative infections | 19.1 | 9.3-39.3 | <0.0001 |
| Delayed initial intervention | 2.6 | 1.8-3.5 | <0.0001 |
| | | | |
| Severe sepsis | 33.8 | 19.5-58.4 | <0.0001 |
| Septic shock | 59.2 | 34.4-102.1 | <0.0001 |
| ICU admission | 18.6 | 12-28.7 | <0.0001 |
| | | | |
| Malignancy | 3.6 | 2.5-15.1 | p < 0.0001 |
| Immunosoppression | 1.0 | 3.2-7.5 | p < 0.0001 |
| Serious cardiovascular disease | 4.5 | 3.2-6.3 | p < 0.0001 |
Multivariate analysis: risk factors for occurrence of death during hospitalization
| Age | 3.3 | 2.2-5 | <0.0001 |
| Small bowel perforation | 27.6 | 15.9-47.8 | <0.0001 |
| Delayed initial intervention | 14.6 | 8.7-24.4 | <0.0001 |
| ICU admission | 2.3 | 1.5-3.7 | <0.0001 |
| Immunosuppression | 3.8 | 2.1-6.7 | <0.0001 |
Stepwise multivariate analysis, PR = 0.005 E PE = 0.001 (Hosmer-Lemeshow chi2(8) = 1.68, area under ROC curve = 0.9465).