Purposes: Patients with perforated peptic ulcer (PPU) present with signs of sepsis and
appropriate management can be offered to achieve an optimal outcome of disease. We
propose evaluating the severity of intra-abdominal sepsis in case of PPU with a new score
called TNM, name borrowed by cancer staging, with the aim of assess its predictive value.
Methods: We included 183 patients with diagnosis of complicated PPU. We defined
categories T (Temperature), N (Neutrophils count) and M (MOF); then, patients were grouped
in stages (0-IV). Variables analysed were age, sex, ASA, blood transfusion, causes of
sepsis, temperature, neutrophils count, preoperative organ failure, immune-compromised
status, stage (0-IV).
Results: Patients were grouped as follows: none at stage 0; 6 at stage I; 72 at stage II, 72
at stage III; 33 at stage IV. ASA score, neutrophils count, preoperative organ failure, stage IIIIV
emerged as statistically significant different prognostic factors. ASA score and stage were
significant independent predictors of post-operative mortality in multivariate analysis.
Conclusion: Our proposed system could define and help to assess the mortality risk.
INTRODUCTION
Peptic ulcer disease, both duodenal and gastric, despite the widespread
availability of effective acid reduction agents and antibiotic therapy for
Helicobacter pylori (1), is associated with potentially life-threatening complications,
including bleeding, perforation, penetration and obstruction. Intraabdominal
sepsis (IAS) after perforation is the second most frequent complication
after bleeding (2,3). A high risk for morbidity (20-50%) and mortality
(1.3-40%) is encountered in surgically treated perforated peptic ulcer (PPU) patients (4-9). Patients with PPU present with signs of
sepsis and by a careful preoperative assessment of the
patients’ severity grade, appropriate management can
be offered to achieve an optimal outcome of disease
(10,11). Many scoring systems (Boey score, Peptic Ulcer
Perforated (PULP) Score, American Society of
Anaesthesiologists (ASA) score) have been proposed to
predict mortality after PPU (12-14). PULP score seems
to be the most reliable, but it is very complex to use
(12). Boey score is easier but its predictability value
is not consistent (12,15-17). ASA score is a general
surgical risk score not intended for PPU patients in
particular, and its major drawback is its subjective
assessment (12,15). Nowadays, in the clinical practice
the grading systems are not always employed for PPU,
although they seem to give precise clinical indications,
because some of them are too complicated (PULP
score) and others are too aspecific (ASA score). In our
work, we tried to assess the severity of IAS as a complication
of PPU using a new TNM score: T indicates
Temperature, N Neutrophil count and M Multiple
organ failure (MOF) (18,19). In this study we aimed to
evaluate significance of this score to predict mortality of
patients with complicated PPU.
MATERIALS AND METHODS
The TNM system was studied in 183 patients with
complicated PPU and IAS, managed in General Surgery
and Hepato-biliopancreatic Surgery at our Department
of Surgery in the period between April 2012 and
December 2019. Pregnant women, patients aged < 18,
immune-compromised patients and those who underwent
laparoscopic surgery were excluded.
At the presentation, patients were clinically evaluated;
blood tests and imaging exams were performed. Intravenous
antibiotic therapy was set up: Ciprofloxacin 200
mg or Amoxicillin-clavulanic 2 gr and Metronidazole
500 mg.
The anthropometric data were collected in an
electronic database. According to clinical and laboratory
characteristics, the patients were classified based on our
system. Table 1 resumes the definitions. The classes of
the patients is showed in table 2, which also shows the
groupings in stages (stage 0-IV).
For the study of this system, we used retrospective
data of 102 patients between January 2001 and
January 2012 (control group); the study group was
prospectively evaluated. TNM stage was firstly evaluated
at the time of the presentation and then every day of
recovery. The primary endpoint was to assess the
efficacy of TNM score in forecasting mortality at 30
days. The work has been reported in line with the
STROCSS criteria (20).
Statistical analysis
The characteristics of the study sample were
analysed with descriptive statistics; the discrete and
nominal variables were expressed using frequencies
and percentages; for continuous variables, medians
and range were reported. The frequency distribution of
prognostic factors (age classes, sex, ASA score, blood
transfusion, causes of sepsis, fever, neutrophil count,
pre-operative organ failure, immuno-compromised
status, TNM stage) were examined between outcome
groups (alive or dead). Chi square ( 2) test was used to
analyse statistical differences. Variables significantly
different between the two groups were introduced in
the multivariate logistic model to obtain independent
predictors of death, with associations reported as odds
ratios (ORs) and 95% confidence intervals (CIs).
Model discrimination was evaluated using the
receiver operating characteristics (ROC) curve. All data
were electronically recorded; statistical analyses were
performed using the Stata Statistical Software (Release
15/IC, College Station, TX: Stata Corp LP). All the
tests were two-tailed, and p < 0.05 was considered
statistically significant.
RESULTS
One hundred eighty-three consecutive patients
were included; they had a mean age of 67.0 years
(range 23 to 86). No significative differences of age
between the sexes was reported. One hundred and
seventeen patients (63.9%) were diagnosed with
localized peritonitis or abscesses and sixty-six (36%)
with generalized peritonitis.
The model has a good predictive power being the area under the ROC
curve equal to 0.8058 (standard error 0.0342) (fig. 1).
In the control group retrospectively analysed
death occurred in 33.3% of patients, with no significant
difference from the study group. The mortality
increased among stages (13.1% at stage II, 28.5% at
stage III and 100% at stage IV).
DISCUSSION
Mortality is a serious complication in PPU. PPU
carries a mortality ranging from 1.3% to 40% (4-9,21,
22). The mortality rate is as high as 12%-47% in elderly
patients undergoing PPU surgery (23-25). Significant
risk factors that lead to death are presence of patients
factors (age > 65 years-old, female, underweight,
presence of comorbidities, delay in presentation more
than 24h, non-steroidal anti-inflammatory or steroid
use), disease factors (shock at presentation, elevated
urea or creatinine, metabolic acidosis, anemia, hypoalbuminemia),
and treatment factors (resection surgery,
blood transfusion, intensive care units) (26-33). Several
different scoring systems used to predict outcome in
PPU can be identified through the literature: the Boey
score, the ASA score, the Sepsis score (SS), the Charlson
Comorbidity Index (CCI), the Mannheim Peritonitis
Index (MPI), the Acute Physiology and Chronic Health
Evaluation II (APACHE II), the Simplified Acute
Physiology score II (SAPS II), the Physiology and
Operative Severity Score for the Enumeration of
Mortality and Morbidity Physical Sub-score ( POSSUMphys
score), the Mortality Probability Models II (MPM
II), the PULP score, the Hacettepe score (HS), the
Jabalpur score (JS), the Practical Scoring System of
Mortality in Patients with Perforated Peptic Ulcer
(POMPP) score, and the American Association for the
Surgery of Trauma (AAST) Emergency General Surgical
(EGS) grading system (AAST EGS grade) (34-37).
Anbalakan K. et al have validated ASA score, Boey’s
score, MPI and PULP score and found that all the four
systems have moderate accuracy of predicting mortality
with area under the receiver operator curve of 72%-
77.2% (37). Other scoring systems are not widely used
due a lack of validation or their complexity in clinical
use. Our new scoring system (18,19) is simple to use
and it seems to be a good predictor of mortality. We
believe that the initial TNM stage can be easily adopted
in the clinical practice to predict the surgical mortality
of PPU patients. Early detection of patients at higher
risk could be useful to choose other treatment
strategies except surgery to decrease the risk of
mortality. More consistent and careful perioperative
cares should be adopted, among which respiratory
support, circulatory stabilization and frequent monitorization
(12,38). To early stage patients, a simple
grading system may provide reduction in mortality
rates.
The death rates related to complicated IAS is
reported to be about 1% (39), 6.7% (40) up to 60%
(41-50). The most important variable to explains the
difference could be the heterogeneous population of
patients and procedures (41,43,51-62). Both the
anatomic source of infections and the physiologic
impairment affect the outcome (63-67). In our present
study we selected a homogeneous sample with the
same diagnosis (complicated peptic ulcer), same
operation (urgent open repair), same surgical incision
(midline laparotomy).
Our results showed that TNM could help to classify
patients based on their mortality risk. Moreover, some
variables seem to be related to mortality: TNM stages
III-IV, ASA score III-IV, neutrophil count and preoperative
organ failure. Multivariate analysis, in fact, showed
that TNM stage IV and ASA score IV themselves significantly
influenced the mortality. Indeed, 90.9% (30/33)
of the patients at stage IV died, and the high mortality
rate (100%) for M2 patients was mainly reported for
patients in the first period of the study (retrospective
analysis), when treatment was still not so aggressive as
in the last cases considered.
Our grading systems is simple and it allows a reevaluation
of the patients based on the clinical picture.
Some limitations have to be underlined. The
prolonged period of data collection and the small
sample size are the main ones, because these factors
may influence the evaluation of the TNM. Indeed, our
study population was only 183 patients, but this
number was noticeable when compared with other
studies in the literature (6,68-75), except cohort study
of Møller 12 and the study of Hernandez (36).
A large-scale clinical trial should be evaluated.
CONCLUSION
In our preliminary study, we want to describe our
results about the use of TNM score to assess IAS after
PPU. This “transfer” of TNM from cancer pathology to
septic pathology could prove, if other studies confirm
our results, to be extremely effective to define the
mortality risk in patients with IAS after PPU.
Supported and conflict of interest statement
The authors declare no dedicated source of funding
and no conflicts of interest related to this publication.
Ethics approval and consent to participate
This is an observational clinical study, so ethics
approval is not required. Informed consent was
obtained from all individual participants included in the
study.
Competing interest
The authors declare that they have no conflict of
interest.
Funding: No funding.
Authors contribution
M.S. and F.C. provided study conception and design.
B.P., L.R., A.G. have acquired the data. A.M. analysed
and interpreted these data. L.R. drafted the manuscript.
All authors revised, read and approved the final manuscript.
REFERENCES
1. Testini M, Portincasa P, Piccinni G, Lissidini G, Pellegrini F, Greco L.
Significant factors associated with fatal outcome in emergency open
surgery for perforated peptic ulcer. World J Gastroenterol. 2003;
9(10):2338-40.
2. Milosavljevic T, Kostic-Milosavljevic M, Jovanovic I, Krstic M.
Complications of peptic ulcer disease. Dig Dis 2011; 29(5):491–493.
3. Beatrice P, Lucia R, Antonio G, Domenico G, Mario S, Francesco C,
et al. Rare case of upper gastrointestinal bleeding: Dieulafoy' s lesion
of duodenum. A case report. Ann Med Surg (Lond). 2019; 45:19-21.
4. Christensen S, Riis A, Norgaard M, Sørensen HT, Thomsen RW.
Short-term mortality after perforated or bleeding peptic ulcer among
elderly patients: a population-based cohort study. BMC Geriatr 2007;
7:8.
5. Christiansen C, Christensen S, Riis A, Thomsen RW, Johnsen SP,
Tonnesen E, et al. Antipsychotic drugs and short-term mortality after
peptic ulcer perforation: a population-based cohort study. Aliment
Pharmacol Ther 2008;28(7):895–902.
6. Thorsen K, Glomsaker TB, von Meer A, Soreide K, Soreide JA.
Trends in diagnosis and surgical management of patients with
perforated peptic ulcer. J Gastrointest Surg 2011;15(8):1329–1335.
7. Bertleff MJ, Lange JF. Perforated peptic ulcer disease: a review of
history and treatment. Dig Surg 2010;27(3):161–169.
8. Lau JY, Sung J, Hill C, Henderson C, Howden CW, Metz DC.
Systematic review of the epidemiology of complicated peptic ulcer
disease: incidence, recurrence, risk factors and mortality. Digestion
2011;84(2):102–113.
9. Bae S, Shim KN, Kim N, Kang JM, Kim DS, Kim KM, et al. Incidence
and short-term mortality from perforated peptic ulcer in korea: a
population-based study. J Epidemiol 2012;22(6):508–516.
10. Moller MH, Shah K, Bendix J, Jensen AG, Zimmermann-Nielsen E,
Adamsen S, et al. Risk factors in patients surgically treated for
peptic ulcer perforation. Scand J Gastroenterol 2009; 44(2):145–152.
11. Moller MH, Adamsen S, Thomsen RW, Moller AM. Multicentre trial
of a perioperative protocol to reduce mortality in patients with
peptic ulcer perforation. Br J Surg 2011; 98(6):802–810.
12. Møller MH, Engebjerg MC, Adamsen S, Bendix J, Thomsen RW. The
Peptic Ulcer Perforation (PULP) score: a predictor of mortality
following peptic ulcer perforation. A cohort study. Acta Anaesthesiol
Scand. 2012; 56:655–62.
13. Boey J, Choi SK, Poon A, Alagaratnam TT. Risk stratification in
perforated duodenal ulcers. A prospective validation of predictive
factors. Ann Surg 1987;205:22–6.
14. Mäkelä JT, Kiviniemi H, Ohtonen P, Laitinen SO. Factors that predict
morbidity and mortality in patients with perforated peptic ulcers. Eur
J Surg 2002;168:446–51.
15. Thorsen K, Søreide JA, Søreide K. Scoring systems for outcome
prediction in patients with perforated peptic ulcer. Scand J Trauma
Resusc Emerg Med 2013;21:25.
16. Thorsen K, Søreide JA, Søreide K. What is the best predictor of
mortality in perforated peptic ulcer disease? A population-based,
multivariable regression analysis including three clinical scoring
systems. J Gastrointest Surg 2014;18:1261–8.
17. Mishra A, Sharma D, Raina VK. A simplified prognostic scoring
system for peptic ulcer perforation in developing countries. Indian J
Gastroenterol 2003;22:49–53.
18. Schietroma M, Pessia B, Mattei A, Romano L, Giuliani A, Carlei F.
Temperature-Neutrophils-Multiple Organ Failure Grading for
Complicated Intra-Abdominal Infections. Surg Infect (Larchmt)
2020;21:69-74.
19. Schietroma M, Romano L, Pessia B, Mattei A, Fiasca F, Carlei F, et al.
TNM: a simple classification system for complicated intraabdominal
sepsis after acute appendicitis [published online ahead of
print, 2020 Aug 6]. Minerva Chir. 2020;10.23736/S0026-
4733.20.08274-7.
20. Agha R, Abdall-Razak A, Crossley E, Dowlut N, Iosifidis C, Mathew
G; STROCSS Group. STROCSS 2019 Guideline: Strengthening the
reporting of cohort studies in surgery. Int J Surg 2019;72:156-165.
21. Hermansson M, Staël von Holstein C, Zilling T. Surgical approach
and prognostic factors after peptic ulcer perforation. Eur J Surg
1999; 165: 566-572.
22. Rajesh V, Chandra SS, Smile SR. Risk factors predicting operative
mortality in perforated peptic ulcer disease. Trop Gastroenterol
2003; 24: 148-150.
23. Blomgren LG. Perforated peptic ulcer: long-term results after simple
closure in the elderly. World J Surg 1997; 21:412-414.
24. Svanes C, Salvesen H, Stangeland L, Svanes K, Søreide O.
Perforated peptic ulcer over 56 years. Time trends in patients and
disease characteristics. Gut 1993; 34:1666-1671.
25. Bulut OB, Rasmussen C, Fischer A. Acute surgical treatment of complicated
peptic ulcers with special reference to the elderly. World J
Surg 1996; 20: 574-577.
26. Buck DL, Møller MH. Influence of body mass index on mortality after
surgery for perforated peptic ulcer. Br J Surg 2014; 101: 993-999.
27. Noguiera C, Silva AS, Santos JN, Silva AG, Ferreira J, Matos E, et al.
Perforated peptic ulcer: main factors of morbidity and mortality.
World J Surg 2003; 27:782-787.
28. Agrez MV, Henry DA, Senthiselvan S, Duggan JM. Changing trends
in perforated peptic ulcer during the past 45 years. Aust N Z J Surg
1992; 62:729-732.
29. Svanes C, Lie RT, Lie SA, Kv?le G, Svanes K, S?reide O. Survival after
peptic ulcer perforation: a time trend analysis. J Clin Epidemiol 1996;
49:1363-1371.
30. Walt R, Katschinski B, Logan R, Ashley J, Langman M. Rising
frequency of ulcer perforation in elderly people in the United
Kingdom. Lancet 1986; 1: 489-492.
31. Kocer B, Surmeli S, Solak C, Unal B, Bozkurt B, Yildirim O, et al.
Factors affecting mortality and morbidity in patients with peptic ulcer
perforation. J Gastroenterol Hepatol 2007;22:565-570.
32. Schietroma M, Colozzi S, Romano L, Pessia B, Giuliani A, Vicentini
V, et al. Short- and long-term results after laparoscopic floppy
Nissen fundoplication in elderly versus non-elderly patients. J Minim
Access Surg. 2020;16(3):256 263.
33. Giuliani A, Romano L, Papale E, Puccica I, Di Furia M, Salvatorelli A,
et al. Complications of postlaparoscopic sleeve gastric resection:
review of surgical technique. Minerva Chir. 2019 Jun;74(3):213-217.
34. Knudsen NV, M?ller MH. Association of mortality with out-of-hours
admission in patients with perforated peptic ulcer. Acta Anaesthesiol
Scand 2015; 59: 248-254.
35. Menekse E, Kocer B, Topcu R, Olmez A, Tez M, Kayaalp C. A practical
scoring system to predict mortality in patients with perforated
peptic ulcer. World J Emerg Surg 2015 Feb 21;10:7.
36. Hernandez MC, Thorn MJ, Kong VY, Aho JM, Jenkins DH, Bruce JL,
et al. Validation of the AAST EGS grading system for perforated
peptic ulcer disease. Surgery 2018;164(4):738-745.
37. Anbalakan K, Chua D, Pandya GJ, Shelat VG. Five year experience in
management of perforated peptic ulcer and validation of common
mortality risk prediction models - are existing models sufficient? A
retrospective cohort study. Int J Surg 2015; 14: 38-44.
38. M?ller MH, Adamsen S, Thomsen RW, M?ller AM. Peptic Ulcer
Perforation (PULP) trial group. Multicentre trial of a perioperative
protocol to reduce mortality in patients with peptic ulcer perforation.
Br J Surg. 2011;98:802–10.
39. Teichmann W, Wittmann DH, Andreone PA. Scheduled reoperations
(etappenlavage) for diffuse peritonitis. Arch Surg 1986;121: 147–52.
40. Penninckx FM, Kerremans RP, Lauwers PM. Planned relaparotomies
in the surgical treatment of severe generalized peritonitis from
intestinal origin. World J Surg 1983;7:762–6.
41. Biondo S, Ramos E, Fraccalvieri D, Kreisler E, Ragué JM, Jaurrieta
E. Comparative study of left colonic Peritonitis Severity Score and
Mannheim Peritonitis Index. Br J Surg. 2006;93(5):616-22.
42. Schietroma M, Cappelli S, Carlei F, Pescosolido A, Lygidakis NJ,
Amicucci G. "Acute abdomen": early laparoscopy or active
laparotomic-laparoscopic observation? Hepatogastroenterology
2007; 54(76):1137-41.
43. Kologlu M, Elker D, Altun H, Sayek I. Validation of MPI and PIA II in
two different groups of patients with secondary peritonitis.
Hepatogastroenterology 2001;48(37):147-51.
44. Sawyer RG, Claridge JA, Nathens AB, Rotstein OD, Duane TM, Evans
HL, et al. Trial of short-course antimicrobial therapy for intraabdominal
infection. N Engl J Med 2015;372: 1996-2005.
45. Schein M, Decker GA. The Hartmann procedure: extended indications
in severe intra-abdominal infection. Dis Colon Rectum
1988;31:126–9.
46. Schietroma M, Cecilia EM, De Santis G, Carlei F, Pessia B, Amicucci
G. Supplemental Peri-Operative Oxygen and Incision Site Infection
after Surgery for Perforated Peptic Ulcer: A Randomized, Double-
Blind Monocentric Trial. Surg Infect (Larchmt) 2016;17(1):106-13.
47. Marchese M, Romano L, Giuliani A, Cianca G, Di Sibio A, Carlei F, et
al. A case of intrasplenic displacement of an endoscopic doublepigtail
stent as a treatment for laparoscopic sleeve gastrectomy leak
[published correction appears in Int J Surg Case Rep. 2019;56:49].
Int J Surg Case Rep. 2018;53:367–369.
48. Giuliani A, Romano L, Marchese M, Necozione S, Cianca G,
Schietroma M, et al. Gastric leak after laparoscopic sleeve gastrectomy:
management with endoscopic double pigtail drainage. A
systematic review. Surg Obes Relat Dis 2019;15(8):1414-1419.
49. Schietroma M, Pessia B, Carlei F, Amicucci G. Septic complications
after pancreatoduodenectomy for pancreatic adenocarcinoma: are
increased gut permeability and inflammatory serum markers
responsible? Pancreas 2016;45(9):e47-8.
50. Schein M, Saadia R, Freinkel Z, Decker GA. Aggressive treatment of
severe diffuse peritonitis: a prospective study. Br J Surg 1988;75:
173–6.
51. Knaus WA, Zimmerman JE, Wagner DP, Draper EA, Lawrence DE.
APACHE –acute physiology and chronic health evaluation: a physiologically
based classification system. Crit Care Med 1981; 9: 591–7.
52. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a
severity of disease classification system. Crit Care Med 1985;13:
818–29.
53. Le Gall J-R, Loirat P, Alperovitch A. Simplified acute physiological
score for intensive care patients. Lancet 1983; ii: 741.
54. Le Gall JR, Loirat P, Alperovitch A, Glaser P, Granthil C, Mathieu D,
et al. A simplified acute physiology score for ICU patients. Crit Care
Med 1984;12: 975–7.
55. Elebute EA, Stoner HB. The grading of sepsis. Br J Surg 1983; 70:
29–31.
56. Goris RJ, te Boekhorst TP, Nuytinck JK, Gimbr?re JS. Multiple-organ
failure: generalized autodestructive inflammation? Arch Surg 1985;
120: 1109–15.
57. Muralidhar V A, Madhu CP, Sudhir S, Madhu S. Mannheim peritonitis
index –prediction of risk of death from peritonitis: construction of
a statistical and validation of an empirically based index. Theoretical
Surgery 1987;1: 169–77.
58. Imrie CW, Benjamin IS, Ferguson JC, McKay AJ, Mackenzie I, O'Neill
J, et al. A single-centre double-blind trial of Trasylol therapy in
primary acute pancreatitis. Br J Surg 1978;65: 337–41.
59. Bosscha K, Reijnders K, Hulstaert PF, Algra A, van der Werken C.
Prognostic scoring system to predict outcome in peritonitis and
intra-abdominal sepsis. BJS 1997;84:1532-4.
60. Sartelli M, Abu-Zidan FM, Catena F, Griffiths EA, Di Saverio S, et al.
Global validation of the WSES Sepsis Severity Score for patients
with complicated intra-abdominal infections: a prospective multicentre
study (WISS Study). World J Emerg Surg 2015;10:61.
61. Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M,
Bastos PG, et al. The APACHE III prognostic system. Risk prediction
of hospital mortality for critically ill hospitalized adults. Chest 1991;
100:1619–36.
62. Prytherch DR, Whiteley MS, Higgins B, Weaver PC, Prout WG,
Powell SJ. POSSUM and Portsmouth-POSSUM for predicting
mortality. Br J Surg. 1998; 85: 1217-1220.
63. Bohnen J, Boulanger M, Meakins JL, McLean AP. Prognosis in
generalized peritonitis. Relation to cause and risk factors. Arch Surg.
1983;118(3):285–290.
64. Meakins JL, Solomkin JS, Allo MD, Dellinger EP, Howard RJ,
Simmons RL. A proposed classification of intra-abdominal
infections. Stratification of etiology and risk for future therapeutic
trials. Arch Surg 1984;119(12):1372–1378.
65. Dellinger EP, Wertz MJ, Meakins JL, Solomkin JS, Allo MD, Howard
RJ, et al. Surgical infection stratification system for intra-abdominal
infection. Multicenter trial. Arch Surg 1985;120(1):21–29.
66. Giuliani A, Romano L, Coletti G, Walid A Fatayer M, Calvisi G,
Maffione F, et al. Lymphangiomatosis of the ileum with perforation:
A case report and review of the literature. Ann Med Surg (Lond)
2019;41:6-10.
67. Giuliani A, Romano L, Papale E, et al. Post-surgical abdominal
damage: management and treatment with vacuum therapy and
biological mesh. Chirurgia 2019;32:275-9.
68. Arici C, Mesci A, Dincer D, Dinckan A, Colak T. Analysis of risk
factors predicting (affecting) mortality and morbidity of peptic ulcer
perforations. Int Surg 2007; 92(3):147–154.
69. Forsmo HM, Glomsaker T, Vandvik PO. Perforated peptic ulcer - a
12-year material. Tidsskr Nor Laegeforen 2005; 125(13):
1822–1824.
70. Kim JM, Jeong SH, Lee YJ, Park ST, Choi SK, Hong SC, et al.
Analysis of risk factors for postoperative morbidity in perforated
peptic ulcer. Journal of gastric cancer 2012; 12(1):26–35.
71. Kujath P, Schwandner O, Bruch HP. Morbidity and mortality of
perforated peptic gastroduodenal ulcer following emergency
surgery. Langenbecks Arch Surg 2002; 387(7–8):298–302.
72. Lohsiriwat V, Prapasrivorakul S, Lohsiriwat D. Perforated peptic
ulcer: clinical presentation, surgical outcomes, and the accuracy of
the Boey scoring system in predicting postoperative morbidity and
mortality. World J Surg 2009; 33(1):80–85.
73. Mishra A, Sharma D, Raina VK. A simplified prognostic scoring
system for peptic ulcer perforation in developing countries. Indian J
Gastroenterol 2003; 22(2):49–53.
74. Rajesh V, Chandra SS, Smile SR. Risk factors predicting operative
mortality in perforated peptic ulcer disease. Trop Gastroenterol
2003; 24(3):148–150.
75. Buck DL, Vester-Andersen M, Møller MH. Accuracy of clinical
prediction rules in peptic ulcer perforation: an observational study.
Scand J Gastroenterol 2012;47(1):28-35.
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