Search results
Results from the WOW.Com Content Network
Frailty Index (FI) = (number of health deficits present) ÷ (number of health deficits measured) For example, a person with 20 of 40 deficits collected has an FI score of 20/40 = 0.5; whilst for someone with 10 deficits, the FI score is 10/40 = 0.25. The FI takes advantage of the high redundancy in the human organism.
The score is an index which takes into account the correlative and causal relationship between mortality and factors including advancing age, burn size, the presence of inhalational injury. [2] Studies have shown that the Baux score is highly correlative with length of stay in hospital due to burns and final outcome.
The Nottingham prognostic index (NPI) is used to determine prognosis following surgery for breast cancer. [1] [2] Its value is calculated using three pathological criteria: the size of the tumour; the number of involved lymph nodes; and the grade of the tumour. [1] It is calculated to select patients for adjuvant treatment.
The Thai frailty index is the index commonly used to measure frailty in Thailand. [1] It consists of 30 variables, including hypertension; diabetes; stroke; chronic obstructive pulmonary disease; chronic kidney disease, cognitive impairment; falls; dental problems; hearing problems; underweight; urinary or fecal incontinence; poor quality of life; depressed mood; fatigue; sleep problems ...
If adaptations to the environment are made, they should be described in detail and attached to the Barthel index. [2] The scale was introduced in 1965, [3] and yielded a score of 0–100 (Mahoney, F.I. & Barthel, D.W., 1965. Functional Evaluation: The Barthel Index. Maryland state medical journal, 14, pp. 61–65.).
The IRS uses your modified adjusted gross income (MAGI) to determine whether you qualify for important tax benefits like deducting contributions from your individual retirement account (IRA) and ...
A systematic review of 42 studies, with 34,513 participants, found that the modified Mallampati score is a good predictor of difficult direct laryngoscopy and intubation, but poor at predicting difficult bag mask ventilation.
The usual reason for doing this is that calculation is much quicker. This was more important in the days of slower computers but can still be useful for particularly large data sets or complex problems. Laird and Olivier (1981) [15] provide the mathematical details. They note, "we do not assume [the Poisson model] is true, but simply use it as ...