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Background and Objective: To evaluate the effectiveness of Neonatal Intensive Cares Many different data banks have been developed. Furthermore, various scoring systems such as SNAP and CRIB have been validated to designate and compared differences among hospitalized patients in NICU. This study was done to determine mortality rate and prevalence of complications in neonates admitted to Taleghani and Dezyani NICU centers in Gorgan - Iran. Materials and Methods: In this discriptive study a questioniare including sex, birthweight, gestational age, duration of hospitalization, age at the time of discharge or death, complications and other information needed for CRIB scoring system, was completed for 46 neonates with gestational age of less than 37-week old and birth weight of less than 1500 grams. Results: Mortality rate was 37% (17 neonates) with the most common cause being respiratory failure. RDS was associated with a 101-fold increase for the chance of death (OR=1.1, CI=12.9-793.6). This probability was 4.7 fold for delivery-time asphyxia. The mean of birthweight, gestational age and CRIB in living and dead infants were 1201 and 934 grams, 30 and 28 weeks and 3.76 and 11.7, respectivly. Using a ROC curve, a cut off point of 7 was reached to predict neonatal outcome for CRIB scoring. Conclusion: This study showed that the mortality rate was higher than the rate in most centers of the world. The mortality rate was directly related with the increase of CRIB score,especially for scores more than 11.

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Background and Objective: The Acute Physiology and Chronic Health Evaluation II classification system has been extensively used for predicting the patient mortality in various diseases admission in ICU ward. The aim of this study was to assess the predicting mortality rate of patients in critical care unit using APACHE-II index. Materials and Methods: This descriptive analytial study was done on 204 hospitalized patients with multiple diagnostic diseases admitted to ICU ward in Gazvin Kusar hospital during 2007. We used than demographic questionnaire and APACHE-II tool to evaluate the prediction mortality rate. Results: Out of 204 patients admitted, 147 (72.1%) survived. Mean APACHE-II score of the subjects was 11.38 (with arrange of 0 to 41). The predicted death rate was 30.26% and the observed death rate was 27.9%. There was a perfect correlation between APACHE-II score and predicted death rate (r=0.976 and P<0.05). Mean APACHE-II score in survivors and non-survivors subjects was 13.97 and 25.36, respectively (t:9.93 P<0.05). Conclusion: This study showed that APACHE-II score can truly predict mortality rate in patients in ICU ward. In addition, this index is helpful in follow up treatment cycle in critical care patients.