External validation of the SAPS II, APACHE II and APACHE III prognostic models in South England: a multicentre study

2003 ◽  
Vol 29 (2) ◽  
pp. 249-256 ◽  
Author(s):  
Dieter H. Beck ◽  
Gary B. Smith ◽  
John V. Pappachan ◽  
Brian Millar
Keyword(s):  
Multicentre Study ◽  
External Validation ◽  
Apache Ii ◽  
Prognostic Models ◽  
Saps Ii ◽  
Apache Iii

scholarly journals Assessment of the performance of the SAPS 3, SAPS II, and APACHE II prognostic models in a surgical ICU

Critical Care ◽  
2008 ◽  
Vol 12 (Suppl 2) ◽  
pp. P502 ◽  
Author(s):  
C Krauss ◽  
Y Sakr ◽  
A Amaral ◽  
A Rea-Neto ◽  
M Specht ◽  
...  
Keyword(s):  
Apache Ii ◽  
Prognostic Models ◽  
Saps 3 ◽  
Saps Ii ◽  
Surgical Icu

scholarly journals Validation of APACHE II, APACHE III and SAPS II scores in in-hospital and one year mortality prediction in a mixed intensive care unit in Poland: a cohort study

2020 ◽  
Author(s):  
Szymon Czajka ◽  
Katarzyna Ziębińska ◽  
Konstanty Marczenko ◽  
Barbara Posmyk ◽  
Anna Szczepańska ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Diagnostic Accuracy ◽  
Mortality Prediction ◽  
Apache Ii ◽  
Post Discharge ◽  
Saps Ii ◽  
Apache Iii

Abstract Background. There are several scores used for in-hospital mortality prediction in critical illness. Their application in a local scenario requires validation to ensure appropriate diagnostic accuracy. Moreover, their use in assessing post-discharge mortality in intensive care unit (ICU) survivors has not been extensively studied. We aimed to validate APACHE II, APACHE III and SAPS II scores in short- and long-term mortality prediction in a mixed adult ICU in Poland. APACHE II, APACHE III and SAPS II scores, with corresponding predicted mortality ratios, were calculated for 303 consecutive patients admitted to a 10-bed ICU in 2016. Short-term (in-hospital) and long-term (12-month post-discharge) mortality was assessed. Results. Median APACHE II, APACHE III and SAPS II scores were 19 (IQR 12-24), 67 (36.5-88) and 44 (27-56) points, with corresponding in-hospital mortality ratios of 25.8% (IQR 12.1-46.0), 18.5% (IQR 3.8-41.8) and 34.8% (IQR 7.9-59.8). Observed in-hospital mortality was 35.6%. Moreover, 12-month post-discharge mortality reached 17.4%. All the scores predicted in-hospital mortality (p<0.05): APACHE II (AUC=0.78; 95%CI 0.73-0.83), APACHE III (AUC=0.79; 95%CI 0.74-0.84) and SAPS II (AUC=0.79; 95%CI 0.74-0.84); as well as mortality after hospital discharge (p<0.05): APACHE II (AUC=0.71; 95%CI 0.64-0.78), APACHE III (AUC=0.72; 95%CI 0.65-0.78) and SAPS II (AUC=0.69; 95%CI 0.62-0.76), with no statistically significant difference between the scores (p>0.05). The calibration of the scores was good. Conclusions. All the scores are acceptable predictors of in-hospital mortality. In the case of post-discharge mortality, their diagnostic accuracy is lower and of borderline clinical relevance. Further studies are needed to create scores estimating the long-term prognosis of subjects successfully discharged from the ICU.

scholarly journals Prognostic Scores and Azole-Resistant Aspergillus fumigatus in Invasive Aspergillosis from an Indian Respiratory Medicine ICU (ICU Patients with IA Suspicion)

2021 ◽  
Vol 7 (11) ◽  
pp. 991
Author(s):  
Yubhisha Dabas ◽  
Anant Mohan ◽  
Immaculata Xess
Keyword(s):  
Invasive Aspergillosis ◽  
Aspergillus Fumigatus ◽  
Goodness Of Fit ◽  
Apache Ii ◽  
Prognostic Scores ◽  
Respiratory Medicine ◽  
Prognostic Models ◽  
Patient Treatment ◽  
Saps Ii

Objective: To assess the effectiveness of three general prognostic models (APACHE II, SAPS II, and SOFA) with serum galactomannan antigen in a clinically suspected invasive aspergillosis (IA) subpopulation admitted to a respiratory medicine ICU and to identify azole-resistant Aspergillus fumigatus (ARAF) cases. Methodology and Results: A total of 235 clinically suspected IA patients were prospectively enrolled and observed 30-day mortality was 29.7%. The three general models showed poor discrimination assessed by area under receiver operating characteristic (ROC) curves (AUCs, <0.7) and good calibration (p = 0.92, 0.14, and 0.13 for APACHE II, SAPS II, and SOFA, respectively), evaluated using Hosmer–Lemeshow goodness-of-fit tests. However, discrimination was significantly better with galactomannan values (AUC, 0.924). In-vitro antifungal testing revealed higher minimum inhibitory concentration (MIC) for 12/34 isolates (35.3%) whereas azole resistance was noted in 40% of Aspergillus fumigatus isolates (6/15) with two hotspot cyp51A mutations, G54R and P216L. Conclusions: Patients diagnosed with putative and probable IA (71.4% and 34.6%, respectively), had high mortality. The general prognostic model APACHE II seemed fairly accurate for this subpopulation. However, the use of local GM cut-offs calculated for mortality, may help the intensivists in prompt initiation or change of therapy for better outcome of patients. In addition, the high MICs highlight the need of antifungal surveillance to know the local resistance rate which might aid in patient treatment.

scholarly journals Patients Admitted to Three Spanish Intensive Care Units for Poisoning: Type of Poisoning, Mortality, and Functioning of Prognostic Scores Commonly Used

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
María Esther Banderas-Bravo ◽  
Maria Dolores Arias-Verdú ◽  
Ines Macías-Guarasa ◽  
Eduardo Aguilar-Alonso ◽  
Encarnación Castillo-Lorente ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Glasgow Coma Scale ◽  
Multicentre Study ◽  
Apache Ii ◽  
Prognostic Scores ◽  
Icu Mortality ◽  
Saps 3 ◽  
Apache Iii ◽  
Lemeshow Test

Objectives. To evaluate the gravity and mortality of those patients admitted to the intensive care unit for poisoning. Also, the applicability and predicted capacity of prognostic scales most frequently used in ICU must be evaluated. Methods. Multicentre study between 2008 and 2013 on all patients admitted for poisoning. Results. The results are from 119 patients. The causes of poisoning were medication, 92 patients (77.3%), caustics, 11 (9.2%), and alcohol, 20 (16,8%). 78.3% attempted suicides. Mean age was 44.42 ± 13.85 years. 72.5% had a Glasgow Coma Scale (GCS) ≤8 points. The ICU mortality was 5.9% and the hospital mortality was 6.7%. The mortality from caustic poisoning was 54.5%, and it was 1.9% for noncaustic poisoning (p<0.001). After adjusting for SAPS-3 (OR: 1.19 (1.02–1.39)) the mortality of patients who had ingested caustics was far higher than the rest (OR: 560.34 (11.64–26973.83)). There was considerable discrepancy between mortality predicted by SAPS-3 (26.8%) and observed (6.7%) (Hosmer-Lemeshow test: H=35.10; p<0.001). The APACHE-II (7,57%) and APACHE-III (8,15%) were no discrepancies. Conclusions. Admission to ICU for poisoning is rare in our country. Medication is the most frequent cause, but mortality of caustic poisoning is higher. APACHE-II and APACHE-III provide adequate predictions about mortality, while SAPS-3 tends to overestimate.

scholarly journals Evaluación de la reproducibilidad de la recogida de datos para el APACHE II, APACHE III adaptado para España y SAPS II en 9 Unidades de Cuidados Intensivos en España

2008 ◽  
Vol 32 (1) ◽  
pp. 15-22 ◽  
Author(s):  
L. Domínguez ◽  
P. Enríquez ◽  
P. Álvarez ◽  
M. De Frutos ◽  
V. Sagredo ◽  
...  
Keyword(s):  
Apache Ii ◽  
Saps Ii ◽  
Apache Iii

scholarly journals Validation of APACHE II, APACHE III and SAPS II scores in in-hospital and one year mortality prediction in a mixed intensive care unit in Poland: a cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Szymon Czajka ◽  
Katarzyna Ziębińska ◽  
Konstanty Marczenko ◽  
Barbara Posmyk ◽  
Anna J. Szczepańska ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Diagnostic Accuracy ◽  
Mortality Prediction ◽  
Apache Ii ◽  
Post Discharge ◽  
Saps Ii ◽  
Apache Iii

Abstract Background There are several scores used for in-hospital mortality prediction in critical illness. Their application in a local scenario requires validation to ensure appropriate diagnostic accuracy. Moreover, their use in assessing post-discharge mortality in intensive care unit (ICU) survivors has not been extensively studied. We aimed to validate APACHE II, APACHE III and SAPS II scores in short- and long-term mortality prediction in a mixed adult ICU in Poland. APACHE II, APACHE III and SAPS II scores, with corresponding predicted mortality ratios, were calculated for 303 consecutive patients admitted to a 10-bed ICU in 2016. Short-term (in-hospital) and long-term (12-month post-discharge) mortality was assessed. Results Median APACHE II, APACHE III and SAPS II scores were 19 (IQR 12–24), 67 (36.5–88) and 44 (27–56) points, with corresponding in-hospital mortality ratios of 25.8% (IQR 12.1–46.0), 18.5% (IQR 3.8–41.8) and 34.8% (IQR 7.9–59.8). Observed in-hospital mortality was 35.6%. Moreover, 12-month post-discharge mortality reached 17.4%. All the scores predicted in-hospital mortality (p < 0.05): APACHE II (AUC = 0.78; 95%CI 0.73–0.83), APACHE III (AUC = 0.79; 95%CI 0.74–0.84) and SAPS II (AUC = 0.79; 95%CI 0.74–0.84); as well as mortality after hospital discharge (p < 0.05): APACHE II (AUC = 0.71; 95%CI 0.64–0.78), APACHE III (AUC = 0.72; 95%CI 0.65–0.78) and SAPS II (AUC = 0.69; 95%CI 0.62–0.76), with no statistically significant difference between the scores (p > 0.05). The calibration of the scores was good. Conclusions All the scores are acceptable predictors of in-hospital mortality. In the case of post-discharge mortality, their diagnostic accuracy is lower and of borderline clinical relevance. Further studies are needed to create scores estimating the long-term prognosis of subjects successfully discharged from the ICU.

scholarly journals The Applicability of Commonly Used Severity of Illness Scores to Tropical Infections in Australia

2021 ◽  
Author(s):  
Kris Salaveria ◽  
Simon Smith ◽  
Yu-Hsuan Liu ◽  
Richard Bagshaw ◽  
Markus Ott ◽  
...  
Keyword(s):  
Case Fatality Rate ◽  
Case Fatality ◽  
Severity Of Illness ◽  
Apache Ii ◽  
Fatality Rate ◽  
Rickettsial Disease ◽  
Saps Ii ◽  
Apache Iii ◽  
Tropical Australia ◽  
Tropical Infections

Many patients with leptospirosis, melioidosis, and rickettsial infection require intensive care unit (ICU) admission in tropical Australia every year. The multi-organ dysfunction associated with these infections results in significantly elevated severity of illness (SOI) scores. However, the accuracy of these SOI scores in predicting death from these tropical infections is incompletely defined. This retrospective study was performed at Cairns Hospital, a tertiary-referral hospital in tropical Australia. All patients admitted to ICU with laboratory-confirmed leptospirosis, melioidosis, and rickettsial disease between January 1, 1999 and June 30, 2020, were eligible for the study. The ability of Acute Physiology and Chronic Health Evaluation (APACHE) II, APACHE III, Simplified Acute Physiology Scores (SAPS) II, and Sequential Organ Failure Assessment (SOFA) scores to predict death before ICU discharge was evaluated. Overall, 18 (12.1%) of the 149 included patients died: 15/74 (20.3%) with melioidosis, 2/54 (3.7%) with leptospirosis and 1/21 (4.8%) with rickettsial disease. However, the APACHE II, APACHE III, SAPS II, and SOFA scores significantly overestimated the case-fatality rate of all the infections; the disparity between the predicted and observed mortality was most marked in the cases of leptospirosis and rickettsial disease. Commonly used SOI scores significantly overestimate the case-fatality rate of melioidosis, leptospirosis, and rickettsial infections in Australian ICU patients. This may be at least partly explained by the unique pathophysiology of these infections, particularly leptospirosis and rickettsial disease. However, SOI scores may still be useful in facilitating the comparison of disease severity in clinical trials that examine patients with these pathogens.

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