Introduction
Material and methods
Definitions
Results
Scoring systems (reference) | Year of report | Target population | Outcome measured | Parameters evaluated |
---|---|---|---|---|
Boey[14] | 1987 | Patients with PPU | 30 day mortality | Presentation ≥ or <24 hours; presence of preoperative shock; level of comorbidity. |
Hacettepe score[17] | 1992 | Patients with PPU | 30 day mortality | Presence of serious medical illness, acute renal failure, white blood cell count, male gender |
Jabalpur score[18] | 2003 | Patients with PPU | 30 day mortality | Time from perforation to operation, mean systolic blood pressure preoperatively, heart rate, serum creatinine, age, comorbidity |
PULP[19] | 2012 | Patients with PPU | 30 day mortality | Presentation ≥ or <24 hours; presence of preoperative shock; ASA score, presence of aids, active malignancy, liver failure; serum creatinine > 130 mmol/l |
ASA[20] | 1941 | General surgical populations | Preoperative risk assessment for surgical patients | Degree of comorbidity and present systemic disease |
Charlson comorbidity index[21] | 1987 | General surgical populations | Prediction of 1 year mortality for hospitalized patients | Weighting of different comorbidities |
Mannheim peritonitis index[23] | 2002 | General peritonitis | Peroperative prediction of outcome in patients with peritonitis | Age, gender, organ failure, duration of peritonitis, site of perforation, diffuse peritonitis, level of exudate |
APACHE II[24] | 1985 | Critically ill patients | Prediction of outcome for ICU patients | Aids, metastatic cancer, liver failure, immunosuppression, chronic renal insufficiency, haemotologic malignancy, lymphoma, leukemia, age, heart rate, systolic blood pressure, respiratory rate, temperature, GCS, WBC, creatinine, blood gas, potassium, sodium, patient origin |
SAPS II[25] | 1993 | Critically ill patients | Prediction of outcome for ICU patients | Aids, metastatic cancer, haemotologic malignancy, age, heart rate, systolic blood pressure, temperature, GCS, urine output, WBC, bilirubin, urea, Potassium, sodium, Patient origin |
MPM II[26] | 1993 | Critically ill patients | Prediction of outcome for ICU patients | Metastatic cancer, liver failure, chronic renal insufficiency, leukemia, age, acute renal failure, arrythmias, heart rate, GI bleeding, GCS, intracranial mass effect, cerebrovascular accident, cpr prior to admission, mechanical ventilation |
POSSUM[37] | 1991 | Surgical patients | Prediction of outcome (mortality) for surgical patients | Respiratory history; cardiac signs; age; heart rate; systolic blood pressure; ecg; GCS; operative severity; multiple procedures, total blood loss, peritoneal soiling, finding of peroperative malignancy; elective or acute surgery, WBC, Hb, urea, potassium, sodium |
Scoring systems aimed at prediction of outcome in PPU
Scoring systems evaluated | Mishraet al[18] | Lohsiriwat et al[10] | Koc et al[16] | Møller et al[19] | Buck et al[22] |
---|---|---|---|---|---|
Mortality rate | Mortality rate | Mortality rate | Mortality rate | Mortality rate | |
10.7% | 9.0% | 10.6% | 27.0% | 17.0% | |
Area under the ROC Curve (AUC) | |||||
ASA | 0.91 | 0.78 | 0.73 | ||
Boey | 0.85 | 0.86 | 0.70 | 0.63 | |
Apache II | 0.87 | 0.76 | |||
SAPS II | 0.86 | ||||
MPM II | 0.98 | ||||
Hacateppe score | 0.72 | ||||
Jabalpur score | 0.92 | ||||
MPI | 0.84 | ||||
Modified Apache II | 0.84 | ||||
Modified MPI | 0.85 | ||||
PULP | 0.83 | ||||
Sepsis score | 0.69 |
General scores of comorbidity
Intensive care unit (ICU) systems
Isolated risk factors for morbidity and mortality in PPU
Studies comparing several scoring systems for outcome prediction in PPU patients
Accuracy of morbidity prediction
Study (reference) | Country | Study period | Number of patients | Mortality rate, n (%) | Age, mean | Score system used |
---|---|---|---|---|---|---|
Arici et al[50] | Italy | 1991-2004 | 147 | 14% | 52 (median) | Boey |
Arveen et al[36] | India | 2006-2008 | 328 | 9% | 43 | ASA |
Bae et al[7] | Korea | 2006-2007 | 4258 | 3% | 74% younger than 60 years of age | No score system |
Bas et al[51] | Belgium | 1998-2004 | 97 | 5% | 39 | No score system |
Bin-Taleb et al[52] | Yemen | 1997-2006 | 156 | 4% | 39 | No score system |
Chalya et al[56] | Tanzania | 2006-2011 | 84 | 11% | 28 (median) | No score system |
Christensen et al[2] | Denmark | 1991-2003 | 2061 | 25% | 61% older than 65 years of age | No score system |
Dakubo et al[35] | Ghana | 1998-2002 | 326 | 11% | 41 | No score system |
Egberts et al[27] | Germany | 1993-2005 | 261 | 24% | 67 (median) | Possum-phys |
Forsmo et al[46] | Norway | 1992-2003 | 102 | 22% | 71 (median) | ASA |
Hemmer et al[43] | The Netherlands | 2000-2005 | 272 | 16% | 62 | ASA |
Kamani et al[57] | Iran | 1996-2005 | 56 | 5% | 50 | No score system |
Kim et al[49] | Korea | 2005-2010 | 142 | 6% | 57 | ASA |
Koc et al[16] | Turkey | 2005-2006 | 75 | 11% | 44 (median) | APACHE II, APACHE III SAPS II, MPM II |
Kocer et al[47] | Turkey | 2001-2004 | 269 | 9% | 43 | ASA |
Kujath[48] | Germany | 1996-2000 | 102 | 14% | 69 | ASA |
Larkin et al[45] | Ireland | 1998-2007 | 76 | 20% | 60 | ASA |
Lohsiriwat et al[10] | Thailand | 2001-2006 | 152 | 9% | 52 | Boey, ASA, MPI |
Makele et al[23] | Finland | 1979-2000 | 280 | 14% | 58 | Boey, ASA, MPI |
Mishra et al[18] | India | 1999-2001 | 140 | 11% | 39 | Apache II |
MPI | ||||||
Jabalpur | ||||||
Montalvo-Jave et al[53] | Mexico | 2006-2008 | 30 | 17% | 57 | No score system |
Muslu et al[58] | Turkey | 1998-2005 | 126 | 4% | 51 | No score system |
Møller et al[19] | Denmark | 2003-2009 | 2668 | 27% | 71 (median) | PULP, ASA, Boey |
Nasio/Saidi[59] | Kenya | 2005-2006 | 44 | 9% | 35 | No score system |
Noguiera et al[44] | Portugal | 1990-2000 | 210 | 10% | 53 (median) | No score system |
Rajesh et al[55] | India | 2006-2011 | 180 | 13% | <50 years | Apache II |
Boey | ||||||
Subedi et al[54] | Nepal | 2002-2004 | 145 | 7% | 46 | No score system |
Taha et al[32] | Scotland | 1997-2006 | 270 | 19% | 64 (median) | Charlson comorbidity index |
Thorsen et al[4] | Norway | 2003-2009 | 114 | 16% | 67 (median) | ASA |
Boey |