Around 37% - 40% of the elderly eat too little to meet their daily energy requirements. One in every two elderly people skip one of their meals. This condition has recently been called “anorexia of aging.” Conditions that have an adverse effect on nutritional status include physiological changes of aging, acute and chronic diseases, teeth and oral health problems, polypharmacy, economic problems, not being able to do shopping by oneself, not being able to prepare meals, and not being able to eat (
16). The present study demonstrates that nutritional evaluation is a good predictor of the clinical course in patients over the age of 65 admitted to the ICU. The results suggest that BMI and albumin values are prognostic factors aside from the APACHE II and SOFA scores, which are well-known prognostic indicators. The results also indicate that age and sex are independent prognostic factors.
Age is not an unfavorable factor by itself (
17,
18,
19). Hoekstra et al. (
20) reported that age does not have a negative effect on outcomes in cancer patients and that the increased risk of mortality and morbidity in the elderly is associated with the presence of co-morbid diseases, malnutrition, and immune system deficiency. Similarly, in the present study of different age groups, age is not an adverse factor per se. As noted in one study, the rate of malnutrition is 5% in healthy individuals in the community, but this rate increases to 15% in the elderly and 30% - 65% in hospitalized elderly individuals (
20). These high rates illustrate the importance of the nutritional status of the elderly. Malnutrition influences morbidity and mortality by adversely affecting various organ functions, the immune system, and wound healing (
21). Research has shown that malnutrition increases postoperative complications by delaying wound healing and increasing infection rates (
21). Various proteins found in serum, such as prealbumin and throxin-binding protein, may be used as indicators of nutritional status. An albumin level lower than 3.0 mg/dL is an important marker of malnutrition. Chronic deficiency in protein intake in the elderly may impair immune function, delay wound healing, reduce muscular strength, and lead to the emergence of pressure ulcers. Elderly patients are unable to meet the increased energy demand incurred by stress, trauma, infection, tissue trauma, chronic disease, and admission to the ICU. To compensate for energy deficits and to improve protein–energy malnutrition, patients’ protein intake should be increased (
22). As reported elsewhere, the mortality rate of the elderly increases by 9% - 38% following 1–2.5 years of weight loss start due to any reason (
23). In the study of Kaiser et al. (
24) the rate of malnutrition was 5.8% in the elderly living in the community, 13.8% in those residing in nursing homes, and 38.75% in those admitted to the hospital. These authors also reported a significant relation between malnutrition and dementia and sarcopenia (
24). According to the recommendations of the European society of clinical nutrition and metabolism (ESPEN) issued in 2002, all individuals over the age of 65 should undergo screening routinely for nutritional status (
25). Similar recommendations are found in all ESPEN guides issued subsequently (
25). On the basis of the data above, we suggest that the nutritional status of elderly individuals in the community, geriatric clinics, and the ICU should be screened and that treatment plans should be developed for at-risk individuals.
Our study has some limitations. First, patients’ albumin, Apache II, SOFA, and BMI values were compared on the basis of the values at the time of admission. We believe that this study would be more valuable if the values could be compared on a daily basis. Second, the number of cases was limited. In the case of a multicenter study, the number of patients could be increased, and the factors caused by the physical conditions of the ICU that might affect the study could be ruled out.
In conclusion, a low albumin level (≤ 3 mg/dL) was an indicator of nutritional status in this study. Patients’ albumin levels, BMI, nutritional status, Apache II score, and SOFA score were associated with mortality. Age in itself did not predict mortality in the elderly.