A comparison of severity of illness scoring systems for elderly patients with severe pneumonia.
OBJECTIVE
To evaluate the predictive ability of three severity of illness scoring systems in elderly patients with severe pneumonia requiring mechanical ventilation compared to a younger age group.


METHODS
Prospective cohort study.


METHODS
Two university-affiliated tertiary care hospitals.


METHODS
One hundred four patients 75 years of age and older and 253 patients younger than 75 years of age enrolled from medical intensive care units.


RESULTS
Probabilities of hospital death for patients were estimated by the Acute Physiology and Chronic Health Evaluation (APACHE) II, the Mortality Probability Model (MPM) II and the Simplified Acute Physiology Score (SAPS) II. Predicted risks of hospital death were compared with observed outcomes using three methods of assessing the overall goodness of fit. The actual mortality of the elderly group was 54.87 % (95 % confidence interval [CI]: 45.2-64.4 %) compared to 28.9 % (95 % CI, 23.3-34.4 %) in the younger age group. There was a significant difference in the predictive accuracy of the scoring systems as assessed by the c-index, which is equivalent to the area under the receiver operator characteristics (ROC) curve, between the two groups, but not within individual groups. Calibration was insufficient for APACHE II and SAPS II in the elderly cohort as in-hospital mortality was lower than the predicted mortality for both models.


CONCLUSIONS
Although the three severity of illness scoring systems (APACHE II, MPM II and SAPS II) demonstrated average discrimination when applied to estimate hospital mortality in the elderly patients with severe pneumonia, MPM II had the closest fit to our database. Alternative modeling approaches might be needed to customize the model coefficients to the elderly population for more accurate probabilities or to develop specialized models targeted to the designed population.
Department of Medicine, State University of New York at Buffalo, School of Medicine and Biomedical Sciences, NY 14215, USA.
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P
Sikka
W M
WM
Jaafar
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E
Bozkanat
A A
AA
El-Solh
D018806:APACHE; D000368:Aged / Q000706:statistics & numerical data*; D000369:Aged, 80 and over; D002138:Calibration; D003422:Critical Care / Q000592:standards; D016002:Discriminant Analysis; D005260:Female; D017052:Hospital Mortality; D006785:Hospitals, University; D006801:Humans; D007362:Intensive Care Units / Q000706:statistics & numerical data; D007902:Length of Stay / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009518:New York / Q000453:epidemiology; D017063:Outcome Assessment, Health Care; D011014:Pneumonia / Q000145:classification* / Q000175:diagnosis / Q000401:mortality* / Q000628:therapy; D011446:Prospective Studies; D012121:Respiration, Artificial; D012307:Risk Factors; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D013997:Time Factors