Predicting ICU length of stay using APACHE-IV in persons with severe sepsis – a pilot study

Determining Factors Influencing Length of Stay and Predicting Length of Stay Using Data Mining in the General Surgery Department

Background: Length of stay is one of the most important indicators in assessing hospital performance. A shorter stay can reduce the costs per discharge and shift care from inpatient to less expensive post-acute settings. It can lead to a greater readmission rate, better resource management, and more efficient services. Objective: This study aimed to ident...

predictor factors for sepsis diagnosis, length of icu stay and mortality in icu

introduction: in a prospective study, we aimed to assess the value of enhanced rdw to predict sepsis and evaluate factors affecting length of icu stay and in-hospital mortality among sepsis patients. material and method: after exclusion of 27 patients, we included 160 adult patients with suspicious sepsis admitted at university affiliated hospital with 33 icu-beds from 2010 to 2012. nighty pati...

Predicting Mortality of Patients With Sepsis: A Comparison of APACHE II and APACHE III Scoring Systems

BACKGROUND Acute Physiology, Age and Chronic Health Evaluation (APACHE) II and III scores were developed in 1985 and 1991, respectively, and are used mainly for critically ill patients of all disease categories admitted to the intensive care unit (ICU). They differ in how chronic health status is assessed, in the number of physiologic variables included (12 vs. 17), and in the total score. Thes...

Role of APACHE score in predicting mortality in chest ICU.

OBJECTIVE To determine the first 24 hours mean values of APACHE II score for two outcomes (alive or dead) in patients admitted in chest ICUs. METHODS A prospective study was conducted in the Department of Chest, Jinnah Postgraduate Medical Centre Hospital, Karachi from January 2009 to December 2009. Patients of all ages and either gender admitted in chest ICU for any cause, were consecutively...

The length of stay and the hospital cost for ICU patients with resistant bacterial infections: a pilot study