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Intensive care unit performance evaluation is usually affected by variations in the severity of inpatients' health status. This paper aims, therefore, to standardize two performance measures: intensive care unit survival and length of stay using the Acute Physiology and Chronic Health Evaluation II (APACHE II) severity of illness score.

A records study in three Ain Shams University Hospital intensive care units, from January 1‐December 31, 2003 was carried out to examine illness severity effect using APACHE II, length of stay and survival. Retrospective data were used to model length of stay in days and the survival using the APACHE II score as a predictor. This was followed by a prospective study to monitor the standardized measures in two intensive care units for one year.

APACHE II scores predicted length of stay of those who were discharged and control charts for severity‐adjusted length of stay were drawn up. The APACHE II score predicted survival for those with APACHE II score >16. The model is significant with a specificity of 89.9 percent while sensitivity was 25 percent. Control charts for severity‐adjusted mortality were drawn up to monitor mortality.

Only 60 percent of the files examined in the retrospective part of the study had enough data to calculate APACHE II scores.

Standardized APACHE II severity of illness score can monitor intensive care unit length of stay and mortality.

The paper underlines the need to implement a standardized measurement system to evaluate intensive care patient outcomes.

The purpose of this paper is to measure health-related quality of life (QOL) among patients with early stage cancer breast under curative treatment at department of oncology and nuclear medicine at Ain Shams University Hospitals. Identify factors affecting QOL among these patients.

A cross-sectional study measured QOL among early stage female breast cancer (BC) patients and determined the main factors affecting their QOL. Three interviewer administered questionnaires were used.

The physical domain mostly affected in BC patients and the functional domain least. Socio-demographic factors that significantly affected BC patients QOL scores were patient age, education, having children and family income. Specific patient characteristics include caregiver presence – a factor that affected different QOL scores. Age at diagnosis, affection in the side of the predominant hand, post-operative chemotherapy and difficulty in obtaining the medication were the disease-related factors that affected QOL scores.

The final model predicting QOL for early stage female BC patients included age, education and difficulty in obtaining the medication as determinants for total QOL score. Carer presence was the specific patient characteristic that affected different QOL scores.