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We aimed to develop a simple scoring system to predict the risk of HCC development among HCV patients after antiviral therapies.
To determine whether we could develop and validate a scoring system to predict the risk of LEA, we examined data from a large group of patients hospitalized with a diabetic foot infection.
Furthermore, we developed a new scoring system to predict the risk of death within 30 days after primary supratentorial ICH using variables found to be independently and significantly associated with outcome by multiple logistic regression analysis.
In a similar study, Shorr and colleagues [ 18] evaluated the ability of a clinical scoring system to predict the risk of infection with a resistant pathogen in a cohort of 977 patients admitted with CAP or HCAP.
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Simplified Acute Physiology Score (SAPS) II and SAPS III are valuable scoring systems used to predict the risk of mortality in the ICU.
This index is a scoring system used solely to predict the risk of major cardiac events after non-cardiac surgery.
There are also organ system-specific scores, most notably the Revised Cardiac Risk Index (RCRI), a scoring system that incorporates six factors to predict the risk of major cardiac events after non-cardiac surgery [ 7].
Two scoring systems, (the Spivack scoring system [SSS] and the cardiac risk score [CRS]), have been proposed to predict the risk of prolonged mechanical ventilation (PMV) after coronary artery bypass graft surgery (CABG).
Several scoring systems and algorithms to predict the risk for MT have been introduced [ 15- 22].
Many score systems developed aiming to quantify and predict the risk of a poor outcome, but none of these can be considered the best one.
The factors that predict the risk of enslavement vary considerably.
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