Abstract

Background:Tools such as MPM (Mortality Probability Map) are used extensively for mortality in patients who, with different diagnosis, are admitted to the intensive care units. These indexes are also considered as a standard tool for studying the duration of hospitalization,, quality evaluation of care provided and classification of illness severity. The purpose of this study was to determine predicted mortality rate in patients admitted to intensive care unit with MPM technique.

Methods:In this cross sectional study all of ICU patients in two health care facilities of Shahid Rajaee and Bo-Ali in Qazvin were studied by census method during six months of 2010. After applying exclusion criteria, data from 240 patients was gathered by questionnaire and MPM. Statistical analysis was performed using SPSS13, descriptive and analytical statistics (mean ±SD), t-test and regression logistic. All levels of testing means were considered less or equal to 0.05.

Results:71.3 % of patients were male and 28.7% of them were female. Predicted mortality mean using the MPM tools was 39.62 ± 39.37 percent (minimum 1.37 and maximum 99.73) and death was 33.7 percent. MPM score in survived patients was 34.91 ± 36.91 and in dead patients was 48.85 ± 42.55 (p = 0/013). Modified results of regression logistic model showed that by increasing MPM score death chance increased by 11%.

Conclusions:The result of the present research showed that the MPM can be very accurate in prediction of hospitalized patients' mortality in the intensive care unit. Hence, using these indicators and other disease severity classification instruments will be useful in predicting the ICU patients’ course of treatment nevertheless, further studies in this field should be done.

Key words:Mortality Probability Model (MPM), Mortality, Intensive Care Unit,