Logistic Organ Dysfunction Score (LODS): A reliable postoperative risk management score also in cardiac surgical patients?
© Heldwein et al; licensee BioMed Central Ltd. 2011
Received: 1 May 2011
Accepted: 16 September 2011
Published: 16 September 2011
The original Logistic Organ Dysfunction Sore (LODS) excluded cardiac surgery patients from its target population, and the suitability of this score in cardiac surgery patients has never been tested. We evaluated the accuracy of the LODS and the usefulness of its daily measurement in cardiac surgery patients. The LODS is not a true logistic scoring system, since it does not use β-coefficients.
This prospective study included all consecutive adult patients who were admitted to the intensive care unit (ICU) after cardiac surgery between January 2007 and December 2008. The LODS was calculated daily from the first until the seventh postoperative day. Performance was assessed with Hosmer-Lemeshow (HL) goodness-of-fit test (calibration) and receiver operating characteristic (ROC) curves (discrimination) from ICU admission day until day 7. The outcome measure was ICU mortality.
A total of 2801 patients (29.6% female) with a mean age of 66.4 ± 10.7 years were included. The ICU mortality rate was 5.2% (n = 147). The mean stay on the ICU was 4.3 ± 6.8 days. Calibration of the LODS was good with no significant difference between expected and observed mortality rates on any day (p ≥ 0.05). The initial LODS had an area under the ROC curve (AUC) of 0.81. The AUC was best on ICU day 3 with a value of 0.93, and declined to 0.85 on ICU day 7.
Although the LODS has not previously been validated for cardiac surgery patients it showed reasonable accuracy in prediction of ICU mortality in patients after cardiac surgery.
KeywordsLogistic scoring system Cardiac surgery Mortality prediction
≥20 ≥ 1.20
Urine output (l)
(on MV or CPAP)
Leukocytes (× 10 9/l)
above standard (%)
In the last few years, some of the general scoring systems have been shown to be valid for use in cardiac surgery patients . Validation of the Sequential Organ Failure Assessment (SOFA) score in 218 cardiac surgical patients has demonstrated that general ICU-scoring systems may be reliable in this patient subgroup without any modification . We, therefore, hypothesized that the LODS might have good predictive power for risk of mortality in cardiac surgical patients.
This study involved evaluation of prospectively collected data from all consecutive adult patients admitted to our ICU after cardiac surgery. Patients admitted between January 1st 2007 and December 31st 2008 were included and the study was approved by the Institutional Review Board of our university (approval no.: 2809-05/10). Only the first admission was considered for patients who were readmitted to the ICU during the study period. Data were collected from the quality control system QIMS 2.0b (University Hospital of Muenster, Germany) and from the intensive care information system COPRA 5.2 (COPRASYSTEM GmbH, Sasbachwalden, Germany), which is interfaced with patient monitors (Philips IntelliVue MP70, Amsterdam, Netherlands), ventilators (Draeger Evita IV, Luebeck, Germany and Hamilton Galileo, Bonaduz, Swizerland), blood gas analyzers (ABL 800Flex Radiometer, Copenhagen, Denmark) and the central laboratories.
The attending physician collected the data and calculated LODS values for the first postoperative week. Two assigned medical clerks validated the data collection daily. A senior consultant performed a second periodical validation. There were no missing data. The LODS was calculated daily using the worst value for each variable per day. Outcome was defined as ICU mortality.
Statistical analyses were performed with SPSS software version 18 (SPSS Inc, Chicago, IL). Graphics were drawn using SigmaPlot software version 11.0 (Systat Software Inc, San Jose, CA, USA). Continuous scale data are presented as mean ± standard deviation (SD) and were analyzed using the two-tailed Student's t-test for independent samples. A p value of < 0.05 was considered as significant. The LODS performance was assessed with the Hosmer-Lemeshow (HL) goodness-of-fit test to insure the absence of a significant discrepancy between predicted and observed mortality. Calibration was considered good when there was a low X2 value and a high p value (> 0.05). Discrimination (ability of a scoring model to differentiate between survival and death) was evaluated with receiver-operating-characteristic (ROC) curves; the area under the curve (AUC) indicates the discriminative ability of the score, i.e., the ability to discriminate survivors from non-survivors. An AUC of 0.5 (a diagonal line) is equivalent to random chance , whereas an AUC of 1.0 implies perfect discrimination . The overall correct classification (OCC) (the ratio of the number of correctly predicted survivors and non-survivors to the total number of patients) values of the score were calculated. All statistical analyses were performed from ICU day 1 (n = 2801) (operative day) until the seventh day (n = 338 patients) only, in order to obtain accurate statistical results with sufficient numbers of patients.
Surgical procedures in the study population
Isolated valve surgery
Combined CABG and valve surgery
Ascending aorta and aortic arch surgery
Combined ascending aorta and valve surgery
Combined ascending aorta and coronary surgery
Congenital, cardiac tumors, pulmonary embolectomy, assist devices
Summary of overall correct classification (OCC), calibration and discrimination of LODS from ICU-day 1 to day 7
1 (n = 2801)
0.771 - 0.850
2 (n = 2769)
0.891 - 0.936
3 (n = 1234)
0.912 - 0.949
4 (n = 815)
0.844 - 0.914
5 (n = 566)
0.834 - 0.905
6 (n = 430)
0.800 - 0.894
7 (n = 338)
0.799 - 0.893
The LODS (Table 1) was developed by Le Gall et al. in 1996 . The developmental database for this score was assembled as part of the European/North American Study of Severity Systems (ENAS), which was used to develop the Simplified Acute Physiology Score (SAPS) II for estimating the probability of mortality among ICU patients . Data on 14745 consecutive ICU admissions were collected in 137 medical, surgical, or mixed ICUs in 12 countries to develop and validate the LODS. Eighty percent of the patients in the database were randomly selected for the developmental sample, and the remaining 20% composed the validation sample. As with the development of SAPS II, differences by site were not considered in the development of the system. It is perhaps because cardiac surgical patients were excluded from the original dataset that the LODS has never been tested on this specific patient population. Nevertheless, we demonstrated that the LODS had acceptable accuracy in mortality prediction during the first postoperative week with good calibration on all days, indicating the reliability of LODS in this patient subgroup.
Correlation of the LODS with the percentage mortality rate
Probability of Mortality in %
During the last twenty years, many scoring systems have been developed for use in ICU patients. These systems have limited applicability in cardiac surgery [7, 8] and some, among them the LODS, have excluded cardiac surgery patients from their scope. This group of patients suffers from temporary side effects and pathophysiological effects of the heart-lung-machine,[9, 10] which can influence the scores obtained from these systems . These effects include the relatively long mechanical ventilation time needed to stabilize these patients [12, 13] and postoperative sedation that limits interpretation of the Glasgow Coma Scale . However, all these factors are temporary and have a limited effect on prognosis. For these reasons, most of the cardiac surgical scoring systems might overestimate the risk of mortality in low risk patients (e.g. isolated coronary artery bypass surgery patients). This is not limited only to postoperative scoring models but is also known in preoperative ones (e.g. EuroSCORE) .
Our outcome of interest was ICU mortality , rather than in-hospital or 30-day mortality, which are used in the EuroSCORE and other cardiac surgery risk models . Diagnosis and case-mix influence ICU mortality, but in-hospital mortality is influenced by factors beyond the critical care unit and so represents institutional rather than specifically ICU performance . Using ICU-mortality as a short-term outcome measure could be seen as a potential limitation, and much longer periods (60-180 days) have been recommended to capture all of the risks of early death . The main advantage of ICU mortality as a study endpoint is that it reduces any inaccuracies related to variations in ICU discharge patterns among institutions or unrelated deaths (e.g., accidental falls) after discharge.
The LODS was designed to combine measurement of the severity of multiple organ dysfunctions into a single score. The multiple organ dysfunction syndrome is one of the major factors contributing to mortality and prolonged ICU stay . Mortality is strongly related to the number and severity, as well as the duration and type of organ dysfunctions, such that the number of failing organs and the degree of their dysfunction correlates well with an increasing mortality risk [8, 21–25]. The LODS may be a tool to identify patients at high risk of developing postoperative severe sepsis. Therefore, daily examination of patients for systemic inflammatory response syndrome (SIRS) criteria is included. The LODS may also be useful to identify the need for early goal-directed therapy . However, our results show that discrimination between survival and death is highest on day three. This represents a shortcoming in this score. Most of the cardiac surgical patients are discharged from ICU on the first or the second postoperative days and only the complex cases remain longer, which makes the mortality prediction with a scoring system much easier. An accurate scoring model should have a high predictive power starting from day one. This fact questions the highest accuracy of LODS on day three; whether it is because of the peak of the organ dysfunction on this day or due to exclusion of the healthiest patients who discharged from the ICU before the third day?
The good calibration of LODS in all days (Table 3) means that this score is reliable in predicting mortality in the whole study group (institutional or national registry level). On the other hand, good discrimination means that this score is useful in predicting mortality on an individual patient level (each patient in ICU). Both functions are necessary for a reliable model .
To our knowledge, the operative results, such as postoperative echocardiography and electrocardiography are not considered in any of the present scoring models. These criteria are extremely valuable in cardiac surgical patients and are directly related to outcome. We do recommend considering these data in postoperative risk stratification in cardiac surgical patients.
Although the LODS has not previously been validated for cardiac surgical patients, it has reasonable accuracy in prediction of ICU mortality in patients after cardiac surgery. The LODS is not a true logistic scoring system, because it does not use β-coefficients.
area under the curve
intensive care unit
logistic organ dysfunction scores
overall correct classification
receivēr operating characteristic
simplified acute physiology score
sequential organ failure assessment.
We thank Dr. Tobias Berg of Friedrich-Schiller-University, Jena, Germany for his considerable technical and statistical support.
- Le Gall JR: The Logistic Organ Dysfunction system. A new way to assess organ dysfunction in the intensive care unit. ICU Scoring Group. JAMA. 1996, 276 (10): 802-10. 10.1001/jama.276.10.802.View ArticlePubMedGoogle Scholar
- Ceriani R: Application of the sequential organ failure assessment score to cardiac surgical patients. Chest. 2003, 123 (4): 1229-39. 10.1378/chest.123.4.1229.View ArticlePubMedGoogle Scholar
- Bewick V, Cheek L, Ball J: Statistics review 13: receiver operating characteristic curves. Crit Care. 2004, 8 (6): 508-12. 10.1186/cc3000.View ArticlePubMedPubMed CentralGoogle Scholar
- den Boer S, de Keizer NF, de Jonge E: Performance of prognostic models in critically ill cancer patients - a review. Crit Care. 2005, 9 (4): R458-63. 10.1186/cc3765.View ArticlePubMedPubMed CentralGoogle Scholar
- Le Gall JR, Lemeshow S, Saulnier F: A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. JAMA. 1993, 270 (24): 2957-63. 10.1001/jama.270.24.2957.View ArticlePubMedGoogle Scholar
- Michel P, Roques F, Nashef SA: Logistic or additive EuroSCORE for high-risk patients?. Eur J Cardiothorac Surg. 2003, 23 (5): 684-7. 10.1016/S1010-7940(03)00074-5. discussion 687View ArticlePubMedGoogle Scholar
- Knaus WA: APACHE II: a severity of disease classification system. Crit Care Med. 1985, 13 (10): 818-29. 10.1097/00003246-198510000-00009.View ArticlePubMedGoogle Scholar
- Marshall JC: Multiple organ dysfunction score: a reliable descriptor of a complex clinical outcome. Crit Care Med. 1995, 23 (10): 1638-52. 10.1097/00003246-199510000-00007.View ArticlePubMedGoogle Scholar
- Ryan TA: Predictors of outcome in cardiac surgical patients with prolonged intensive care stay. Chest. 1997, 112 (4): 1035-42. 10.1378/chest.112.4.1035.View ArticlePubMedGoogle Scholar
- Turner JS: Difficulties in predicting outcome in cardiac surgery patients. Crit Care Med. 1995, 23 (11): 1843-50. 10.1097/00003246-199511000-00010.View ArticlePubMedGoogle Scholar
- Weiss YG: Postcardiopulmonary bypass hypoxemia: a prospective study on incidence, risk factors, and clinical significance. J Cardiothorac Vasc Anesth. 2000, 14 (5): 506-13. 10.1053/jcan.2000.9488.View ArticlePubMedGoogle Scholar
- Kollef MH, Wragge T, Pasque C: Determinants of mortality and multiorgan dysfunction in cardiac surgery patients requiring prolonged mechanical ventilation. Chest. 1995, 107 (5): 1395-401. 10.1378/chest.107.5.1395.View ArticlePubMedGoogle Scholar
- Rady MY, Ryan T, Starr NJ: Perioperative determinants of morbidity and mortality in elderly patients undergoing cardiac surgery. Crit Care Med. 1998, 26 (2): 225-35. 10.1097/00003246-199802000-00016.View ArticlePubMedGoogle Scholar
- Marik PE, Varon J: Severity scoring and outcome assessment. Computerized predictive models and scoring systems. Crit Care Clin. 1999, 15 (3): 633-46. 10.1016/S0749-0704(05)70076-2. viiiView ArticlePubMedGoogle Scholar
- Badreldin AM: KCH, the German Preoperative Score for Isolated Coronary Artery Bypass Surgery: Is it Superior to the Logistic EuroSCORE?. Thorac Cardiovasc Surg. 2011Google Scholar
- Fagon JY: Characterization of intensive care unit patients using a model based on the presence or absence of organ dysfunctions and/or infection: the ODIN model. Intensive Care Med. 1993, 19 (3): 137-44. 10.1007/BF01720528.View ArticlePubMedGoogle Scholar
- Jin R, Grunkemeier GL: Additive vs. logistic risk models for cardiac surgery mortality. Eur J Cardiothorac Surg. 2005, 28 (2): 240-3. 10.1016/j.ejcts.2005.04.008.View ArticlePubMedGoogle Scholar
- Hutchinson C, Craig S, Ridley S: Sequential organ scoring as a measure of effectiveness of critical care. Anaesthesia. 2000, 55 (12): 1149-54. 10.1046/j.1365-2044.2000.01608.x.View ArticlePubMedGoogle Scholar
- Osswald BR: The meaning of early mortality after CABG. Eur J Cardiothorac Surg. 1999, 15 (4): 401-7. 10.1016/S1010-7940(99)00029-9.View ArticlePubMedGoogle Scholar
- Beal AL, Cerra FB: Multiple organ failure syndrome in the 1990s. Systemic inflammatory response and organ dysfunction. JAMA. 1994, 271 (3): 226-33. 10.1001/jama.271.3.226.View ArticlePubMedGoogle Scholar
- Knaus WA: Prognosis in acute organ-system failure. Ann Surg. 1985, 202 (6): 685-93. 10.1097/00000658-198512000-00004.View ArticlePubMedPubMed CentralGoogle Scholar
- Tran DD: Risk factors for multiple organ system failure and death in critically injured patients. Surgery. 1993, 114 (1): 21-30.PubMedGoogle Scholar
- Hebert PC: A simple multiple system organ failure scoring system predicts mortality of patients who have sepsis syndrome. Chest. 1993, 104 (1): 230-5. 10.1378/chest.104.1.230.View ArticlePubMedGoogle Scholar
- Zimmerman JE: A comparison of risks and outcomes for patients with organ system failure: 1982-1990. Crit Care Med. 1996, 24 (10): 1633-41. 10.1097/00003246-199610000-00006.View ArticlePubMedGoogle Scholar
- Rauss A: Prognosis for recovery from multiple organ system failure: the accuracy of objective estimates of chances for survival. The French Multicentric Group of ICU Research. Med Decis Making. 1990, 10 (3): 155-62. 10.1177/0272989X9001000302.View ArticlePubMedGoogle Scholar
- Mokart D: Predictive perioperative factors for developing severe sepsis after major surgery. Br J Anaesth. 2005, 95 (6): 776-81. 10.1093/bja/aei257.View ArticlePubMedGoogle Scholar
- Badreldin AM: Comparison between Sequential Organ Failure Assessment Score (SOFA) and Cardiac Surgery Score (CASUS) for Mortality Prediction after Cardiac Surgery. Thorac Cardiovasc Surg. 2011Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.