The reliably after the initial ICU period and

The observed 30-day mortality was 10.3 % which is
considered to be  higher than the average
mortality reported in previous studies 9.3%, 9.6% and
6% (Curiel-Balsera et al. 2013, Junior et al. 2015,
Exarchopoulos et al. 2015) respectively. this may be due to The higher rate
of postoperative cardiac and respiratory complications. twenty seven/103 (26.2%)
of the study group had cardiac complications while 16/103 patients (15.5%) had
respiratory complications.

A factor that was identified in this study as an
independent predictor of mortality after cardiac surgery, was the preoperative
platelet count. We found that the preoperative platelet count was higher in non
survivors {285.40+67.42 (103)} compared to survivors {232.32+64.41
(103)}. Unal et al. 2013 reported that the mean platelet
volume (MPV) reflecting platelet production rate and activation and the
platelet count were moderately correlated with adverse events after CABG
including ischemic vascular events, recurrent MI or death. The reported platelet count in their patients with adverse
events was 262 ± 66(103).

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The  APACHE II
score, calculated in the first day of ICU admission, was identified as another
independent predictor of postoperative mortality. It has a good predictive
power for the 30-day mortality after cardiac surgery (AUC: 0.868, p value
90) and Exarchopoulos et al. 2015 who found that CASUS score showed good
discrimination and calibration in the first postoperative day after cardiac
surgery with AUC 0.89. The poor results of CASUS score in our study
in comparison to other studies  may be
attributed to  the difference in  patient populations as  it lacks its 
application  in different  countries 
and  it has not been tested in
multicenter studies and accordingly has not gained much popularity. Another reason is that CASUS score has some volatile
variables that may change from one hour to another such as lactate and pressure
adjusted heart rate (PAR).

Comparing the three scoring systems regarding their
predictive power of the 30-days mortality after cardiac surgery in this study,
showed that  APACHE II score and SOFA
score (AUC: 0.878) has a better ability to predict 30-day mortality than CASUS
score (AUC: 0.673).

Regarding prediction of morbidity, all
scores showed significant results in predicting length of ICU stay and
postoperative hours of ventilation, on the contrary none of the scores showed correlation
with the length of hospital stay as shown in table (5).

As shown in table (2) there is
statistically significant difference between survivors and non-survivors
regarding the value of SOFA (p: 0.001) and APACHE II (p: 0.001) scores.

ROC curves were plotted showing that both APACHE
II score(0.878) and SOFA score (0.878) have a good predictive power of 30-day
mortality after cardiac surgery compared with the poor predictive power of the CASUS
score (0.673) as shown in table (4).

However, multivariate analysis identified
APACHE II score and preoperative platelets count as the independent predictors
of mortality after cardiac surgery in as shown in table (3).

our study was conducted on 103 adult patients
with 30-day mortality 10.3%, all patients preoperative
characteristics are shown in table (1) showing that EF, platelets count, PO2
and bilirubin level are predictors of  mortality after cardiac surgery.

Our prospective study comprised 103 adult
patients who underwent open heart surgery in the  Cardiothoracic Surgery Department – Tanta
University Hospitals from October  2015 to December 2017. Data on the
preoperative condition, intraoperative parameters and postoperative course were
recorded daily for each patient. the postoperative patient data was recorded
every one hour and the worst data was taken every 24 hours to calculate the
postoperative scores. the APACHE 2 score was calculated once in the first
postoperative 24 hours, SOFA score was calculated every 24 hours for maximum of
4 postoperative days, CASUS score was calculated in the 2nd and 4th
postoperative days. Clinical outcome was defined as postoperative morbidity and
mortality. The main outcome measurement was 30-day mortality.
Morbidity was defined as: duration of mechanical ventilation, length of stay in the postoperative ICU and in the ward.
For patients readmitted to the cardiac surgery intensive care unit (CSICU)
postoper­atively, we took into account only the length of the initial stay in
the CSICU. In cases of re intubation, we evaluated only the initial duration of
mechanical ventilation.

Mortality after cardiac surgery ranges from
2.94 to 32.5% depending on type of surgery and populations (Mehta et al.
2002, Serigar et al. 2013, Chang et al. 2016). numerous risk scores were developed
for mortality prediction after cardiac surgery but still there are some major
differences among these scores with regard to score design and the initial population
on which the score was developed (Geissler et al. 2000). Postoperative risk scoring gives
information of the postoperative situation, In addition to the preoperative
patient condition (Pätilä et al. 2006). Postoperative risk scoring systems such as the Cardiac
Surgery Score (CASUS), the Acute Physiology and Chronic Health Evaluation
(APACHE II) and the Sequential Organ Failure Assessment (SOFA) score are used to
predict mortality after cardiac surgery but they were not tested on our patient
population so we compared the accuracy of CASUS, APACHE II and SOFA scores in
predicting mortality after cardiac surgery in our centre.