Level of acuity, severity and intensity of care of adults and older adults admitted to the Intensive Care Unit

Nivel de agudización, severidad e intensidad del cuidado de adultos y personas mayores en la admisión en Unidad de Cuidados Intensivos

ABSTRACT

Objective:

To characterize the level of acuity, severity and intensity of care of adults and older adults admitted to Intensive Care Units and to identify the predictors of severity with their respective predictive capacity according to the age group.

Method:

A retrospective cohort based on the analysis of medical records of individuals admitted to eight adult intensive care units in the city of São Paulo. The clinical characteristics at admission in relation to severity profile and intensity of care were analyzed through association and correlation tests. The predictors were identified by linear regression and the predictive capacity through the ROC curve.

Results:

Of the 781 cases (41.1% from older adults), 56.2% were males with a mean age of 54.1 ± 17.3 years. The burden of the disease, the organic dysfunction and the number of devices were the predictors associated with greater severity among adults and older adults, in which the organic dysfunction had the highest predictive capacity (80%) in both groups.

Conclusion:

Adults and older adults presented a similar profile of severity and intensity of care in admission to the Intensive Care Unit. Organic dysfunction was the factor with the best ability to predict severity in adults and older adults.

DESCRIPTORS:
Critical Care Nursing; Aged; Adult; Patient Acuity; Intensive Care Units

RESUMEN

Objetivo:

Caracterizar el nivel de agudización, la severidad y la intensidad del cuidado de adultos y personas mayores ingresados en Unidades de Cuidados Intensivos e identificar los predictores de severidad con su respectiva capacidad predictiva de acuerdo con el rango de edad.

Método:

Cohorte retrospectiva, con base en el análisis de fichas de individuos admitidos en ocho unidades de cuidados intensivos de la ciudad de São Paulo. Se analizaron las características clínicas de admisión con relación al perfil de severidad y la intensidad del cuidado mediante pruebas de asociación y correlación. Los predictores fueron identificados por regresión lineal, y la capacidad predictiva, mediante la curva ROC.

Resultados:

De los 781 casos (41,1% de ancianos), el 56,2% eran hombres con edad media de 54,1±17,3 años. La carga de la enfermedad y la disfunción orgánica de dispositivos fueron los predictores asociados con la mayor severidad entre adultos y ancianos, siendo la disfunción orgánica aquel con mayor capacidad predictiva (80%) en ambos grupos.

Conclusión:

Adultos y personas mayores presentaron perfil semejante de severidad e intensidad del cuidado en la admisión en la Unidad de Cuidados Intensivos. La disfunción orgánica fue el factor con mejor capacidad para predecir la severidad, en adultos y ancianos.

DESCRIPTORES:
Enfermería de Cuidados Críticos; Anciano; Adulto; Gravedad del Paciente; Unidades de Cuidados Intensivos

RESUMO

Objetivo:

Caracterizar o nível de agudização, a gravidade e a intensidade do cuidado de adultos e idosos admitidos em Unidades de Terapia Intensiva e identificar os preditores de gravidade com sua respectiva capacidade preditiva de acordo com o grupo etário.

Método:

Coorte retrospectiva, com base na análise de prontuários de indivíduos admitidos em oito unidades de terapia intensiva adulto da cidade de São Paulo. Foram analisadas as características clínicas admissionais em relação ao perfil de gravidade e a intensidade do cuidado por meio de testes de associação e correlação. Os preditores foram identificados por regressão linear, e a capacidade preditiva, por meio da curva ROC.

Resultados:

Dos 781 casos (41,1% de idosos), 56,2% eram homens com idade média de 54,1±17,3 anos. A carga de doença, a disfunção orgânica e o número de dispositivos foram os preditores associados à maior gravidade entre adultos e idosos, sendo a disfunção orgânica aquele com maior capacidade preditiva (80%) em ambos os grupos.

Conclusão:

Adultos e idosos apresentaram perfil semelhante de gravidade e intensidade do cuidado na admissão na Unidade de Terapia Intensiva. A disfunção orgânica foi o fator com melhor capacidade para predizer gravidade, em adultos e idosos.

DESCRITORES:
Enfermagem de Cuidados Críticos; Idoso; Adulto; Gravidade do Paciente; Unidades de Terapia Intensiva

INTRODUCTION

The demand for Intensive Care Units (ICUs) has grown as the number of people in need of critical care also increases. Several factors contribute to this increase such as population aging and technological advances which favor the occurrence of therapeutic approaches associated with an increased risk of complications¹. An increase of 5.6% per year in the ICU admission rate among older adults was estimated between 2001 and 2008², not only showing the increase in occupation, but also the change in profile.

Faced with the epidemiological changes of the population and with the greater access to intensive care beds, and respecting the admission criteria in these units¹, it is essential to understand the profile of patients admitted to the ICU. Although already described in some studies^3)-(8, this profile is dynamic by definition, insofar as it accompanies population transitions, therefore requiring constant updating. Characterizing the profile of ICU patients aids in creating public health policies and in elaborating actions that can improve the care of critically ill patients, with the objective of reducing morbidity and mortality, disability and the costs related to health care. Understanding who are the patients who need critical care is relevant, since it directly involves screening, clinical and managerial decision-making, and advanced clinical care⁹.

Since the ICU is a place intended for caring of patients who present or may present some degree of organic dysfunction¹, it is expected that the severity of these patients is much higher than that observed in patients in the other wards. The higher severity has been previously described as associated with higher ICU mortality^{2), (8), (10}.

In addition to the constant need to revisit the epidemiological profile of adults and older adults in the ICU, to the present date no studies have identified specific admission severity predictors for adults and older adults. Adults and older adults have different characteristics^{11)- (12}, which should be considered during the care, aiming at patient safety. Understanding which pre-morbid conditions are associated with greater severity may guide clinical practice toward patient recovery, since the outcome of care also depends on factors identified upon admission⁶.

Thus, the present study aimed to characterize the level of acuity, severity profile and intensity of care of adults and older adults admitted to ICUs and to identify the predictors of severity with their respective predictive capacity according to the age group.

METHOD

This is a retrospective cohort study in which the medical records of individuals admitted to several specialized ICUs of a large public hospital in the metropolitan region of São Paulo were analyzed. The specialties of the ICU where the study was conducted were: medical clinic/pneumology; emergency medical clinic; surgical; neurology; trauma; infectious diseases; nephrology and burned patients.

Of the 890 eligible cases (age greater than or equal to 18 years and admission to one of the study ICUs), 781 cases were included and 109 excluded (105 not found and four incomplete medical records). The following variables were extracted from the medical records: gender; age; time interval from illness onset that triggered hospitalization and arrival at the hospital (door); origin/referral; time interval between arrival and admission to the ICU (ICU); type of hospitalization; specialty of the ICU; medical diagnosis at admission; number of comorbidities; personal background; length of hospital stay; survival.

The characterization of the level of acuity was carried out through an analysis of the following variables: disease burden prior to admission (measured by the Charlson Comorbidity Index - CCI); severity on the first day (measured by the Simplified Acute Physiology Score II - SAPS2); organic dysfunction on the first day (measured by the Logistic Organ Dysfunction System - LODS). The intensity of care was characterized according to the variables: number of prescribed drugs; use of sedation, use of vasoactive drugs; use of invasive mechanical ventilation; performing dialysis; number of invasive devices (e.g., probes, drains and catheters) and the existence of pressure lesion upon admission. All variables were analyzed in the first 24 hours of ICU admission.

The data were stratified into two groups for the analyzes: adults (up to 59 years) and older adults (≥ 60 years). The older adults were divided into three subgroups: young-old (60-69 years); old (70-79 years) and oldest old (≥ 80 years). Data were analyzed using descriptive statistics and statistical tests were used. The Student’s t-test and ANOVA were used to compare means. The Mann-Whitney test was used to compare medians. Linear regression models were constructed in order to identify which were predictors of severity (as pointed out by the SAPS2) in adults and older adults, assuming severity as a dependent variable. The independent variables that initially composed the model were: gender, door to ICU time, disease burden, organic dysfunction, number of medications, use of sedation, use of vasoactive drugs, use of invasive mechanical ventilation, dialysis, number of invasive devices and presence of pressure lesions. The variables entered the model through the stepwise backward procedure. Only the variables that reached statistical significance in the model (p≤0.05) were maintained in the final regression model.

A ROC analysis (Receiver Operating Characteristic) was performed to verify the predictive capacity of each predictor, and we used the mean SAPS2 score found in the present analysis to classify the state of greater severity. Predictors with good predictive capacity to predict greater severity were considered as those whose area under the curve (AUC) was higher than 0.70. All analyzes were performed using SPSS software (version 22), and the level of significance adopted in two-tailed tests was ≤ 0.05.

The study was conducted between 2012 and 2017. All procedures were approved by the Local Ethics Committee (Number 447.731/2013) and are in accordance with national regulations for research involving human beings.

RESULTS

Of the 781 cases included, 439 were males (56.2%) and 342 (43.8%) were females. The older adults accounted for 41.1% of the cases (n=321). The mean age of the sample was 54.1 ± 17.3 years (18-99 years), being higher among women (56.4 ± 17.6 years) than among men (52.3 ± 17.6 years), and this difference was statistically significant (p<0.001).

The main conditions that led to ICU admission were trauma (n=101, 12.9%), cardiovascular (n=100, 12.8%) and neurological diseases (n=100, 12.8%). The causes of admission were different among adults and older adults (p<0.021). Among adults, trauma/external causes were the main cause of admission, while cardiovascular disease were the main cause for older adults. Other causes of admission among adults were neurological and cardiovascular diseases. Among older adults, other conditions were those related to the digestive and neurological system. The admission characteristics of the sample are presented in Table 1. The main causes of admission, according to the related organic system, are presented in Figure 1.

Table 1
Characteristics of adults and older adults at ICU admission, length of ICU stay and survival - São Paulo, SP, Brazil, 2012-2017.

		Adults	Older adults	p-value
Time (days) Disease onset - door [median (variation)]		1 (0 - 9,125)	2 (0 - 730)	0.167*
Origin/Referral [n (%)]
	Emergency Room	199 (30.3)	150 (22.9)	0.948†
	Operating room	136 (20.7)	79 (12.0)
	Medical Ward	38 (5.8)	14 (2.1)
Time (hours) door - ICU [mean (SD)]		3.0 (6.4)	3.45 (6.5)	0.444**
Type of hospitalization [n (%)]
	Clinical	281 (36.0)	210 (26.9)	0.150†
	Elective surgery	87 (11.1)	60 (7.7)
	Emergency surgery	92 (11.8)	51 (11.5)
Medical specialty [n (%)]
	Surgical	76 (9.7)	56 (7.2)	0.048†
	Clinical Medical/Pulmonology	43 (5.5)	25 (3.2)
	Emergency Medical Clinic	109 (14.0)	100 (12.8)
	Infectious Diseases	15 (1.9)	13 (1.7)
	Nephrology	18 (2.3)	21 (2.7)
	Neurology	78 (10.0)	41 (5.2)
	Burned	5 (0.6)	2 (0.3)
	Trauma	116 (14.9)	63 (8.1)
Admissional Medical Diagnosis according to the organic system [n (%)]
	Neurological	68 (8.7)	32 (4.1)	0.021†
	Respiratory	29 (3.7)	26 (3.3)
	Cardiovascular	41 (5.2)	59 (7.6)
	Digestive	30 (3.8)	40 (5.1)
	Renal	6 (0.8)	6 (0.8)
	Endocrine-metabolic	12 (1.5)	2 (0.3)
	Hemato-infectious	17 (2.2)	21 (2.7)
	Neoplasms	26 (3.3)	23 (2.9)
	Trauma	87 (11.1)	14 (1.8)
	Other	12 (1.5)	4 (0.5)
Length of stay [mean (SD)]		7.1 (11.1)	6.7 (8.5)	0.583**
Survival [n(%)]		381 (48.8)	226 (28.9)	0.000†

• * Mann-Whitney test; ** Student’s T-test; ^† Fisher’s Exact Test.

Figure 1
Distribution of individuals according to the Admission Medical Diagnosis according to the organic systems, in each age group - São Paulo, SP, Brazil, 2012-2016.

The level of acuity and the intensity of care required for adults and older adults admitted to the ICU are described in Table 2. The mean for the severity of the sample, as measured by SAPS2, was 30.5±15.4 points. There was no statistically significant difference between the admission severity among the groups.

Table 2
Level of acuity and intensity of care required in the admission of adults and older adults in the ICU - São Paulo, SP, Brazil, 2012-2017.

		Adults	Older adults	p-value
Level of Acuity
	Disease burden - CCI [mean (SD)]	1.7 (1.9)	1.8 (1.9)	0.907*
	Severity - SAPS2 [mean (SD)]	30.5 (14.7)	30.5 (15.3)	0.951*
	Organic dysfunction - LODS [mean (SD)]	4.8 (3.7)	4.7 (4.1)	0.859*
Intensity of Care
	Number of medications [mean (SD)]	10.9 (5.6)	10.9 (5.4)	0.966*
	Sedation [n(%)]	142 (21.6)	77 (11.7)	0.077†
	Number of devices [mean (SD)]	4.0 (2.8)	3.9 (2.6)	0.727*
	VAD [n(%)]	141 (21.5)	89 (13.6)	0.676†
	MV [n(%)]	166 (27.6)	95 (15.8)	0.078†
	Dialysis [n(%)]	20 (3.1)	20 (3.1)	0.244†
	Pressure Lesions [n(%)]	150 (28.4)	94 (17.8)	0.593†

• SD - Standard Deviation; CCI - Charlson Comorbidity Index; SAPS2 - Simplified Acute Physiology Score II; LODS - Logistic Organ Dysfunction System; VAD - vasoactive drugs; MV - mechanical ventilation; * Student’s T-test; ^† Fisher’s Exact Test.

When comparing clinical admission characteristics among the three subgroups of older adults (young-old, old and oldest old), no statistically significant difference was observed, except for the mean age in each subgroup, the higher frequency of men among young-old and the door to ICU time, which was lower among oldest old (Table 3).

Table 3
Clinical admission characteristics between young-old, old and oldest-old adults, in the ICU - São Paulo, SP, Brazil, 2012-2017.

		Young-old	Old	Oldest Old	p-value
		158 (49.2%)	109 (34.0%)	54 (16.8%)
Gender [Males [n(%)]		97 (30.2)	53 (16.5)	20 (6.2)	0.004†
Age [mean (SD)]		64.6 (2.6)	73.9 (2.9)	84.8 (4.1)	0.000*
Time (days) disease onset - door [median (variation)]		2.0 (0 - 730)	3.5 (0 - 180)	2.0 (0 - 545)	0.374#
Time (hours) door to ICU [mean (SD)]		4.5 (7.8)	2.8 (5.0)	1.4 (2.4)	0.021*
Level of Acuity
	Disease burden - CCI [mean (SD)]	1.7 (1.8)	1.7 (1.6)	1.2 (1.1)	0.892*
	Severity - SAPS2 [mean (SD)]	29.1 (14.5)	31.2 (17.9)	28.3 (15.3)	0.927*
	Organic dysfunction - LODS [mean (SD)]	4.6 (4.1)	4.5 (4.0)	4.2 (3.9)	0.468*
Intensity of Care
	Number of medications [mean (SD)]	11.9 (5.2)	11.5 (5.8)	9.4 (4.5)	0.221*
	Sedation [n(%)]	41 (15.6)	25 (9.5)	11 (4.2)	0.868†
	Number of devices [mean (SD)]	4.0 (2.7)	3.8 (2.6)	3.9 (2.4)	0.867†
	VAD [n(%)]	44 (16.8)	29 (11.1)	16 (6.1)	0.835†
	MV [n(%)]	53 (22.2)	30 (12.6)	9 (3.8)	0.143†
	Dialysis [n(%)]	13 (5.0)	07 (2.7)	-	0.095†
	Pressure Lesions [n(%)]	52 (24.6)	29 (13.7)	13 (6.2)	0.286†
Length of stay [mean (SD)]		5.6 (8.3)	7.3 (8.3)	7.0 (8.3)	0.841*
Survival [n (%)]		113 (35.2)	76 (23.7)	37 (11.5)	0.894†

• SD - Standard Deviation; CCI - Charlson Comorbidity Index; SAPS2 - Simplified Acute Physiology Score II; LODS - Logistic Organ Dysfunction System; VAD - vasoactive drugs; MV - mechanical ventilation; * Student’s T-test; ^† Fisher’s Exact Test; ^# Mann-Whitney test.

The independent predictors of severity in each age group and their predictive abilities are presented in Table 4.

Table 4
Independent predictors of admission severity assessed by SAPS2 and respective predictive capacity in adults and older adults in the ICU - São Paulo, SP, Brazil, 2012-2017.

Model		R2	B	p-value	95% CI	AUC	p-value
Adults	Disease burden (CCI)	0.611	1.37	0.000	0.89 - 1.86	0.601	0.001
	Number of devices		-0.69	0.000	-1.02 - -0.36	0.456	0.134
	Organic dysfunction (LODS)		2.68	0.000	2.44 - 2.92	0.862	0.000
Older adults	Disease burden (CCI)	0.673	1.45	0.000	0.91 - 2.00	0.570	0.056
	Number of devices		-0.76	0.000	-1.16 - -0.35	0.441	0.108
	Organic dysfunction (LODS)		2.87	0.000	2.60 - 3.14	0.875	0.000

• Dependent variable: severity measured by SAPS2 (Simplified Acute Physiology Score II); CCI - Charlson Comorbidity Index; LODS - Logistic Organ Dysfunction System; AUC - Area under the curve.

Disease burden, organic dysfunction and number of devices were the independent predictors associated with greater severity in both groups. The same severity predictors were observed among adults and older adults, highlighting a slightly higher severity score in the older adults group. Thus, increased disease burden and organic dysfunction at admission increase the severity measured by SAPS2 (1.37 points and 2.60 points, respectively, among adults and 1.45 points and 2.87 points, respectively, among older adults). The less assistance devices installed in the patient at admission, the greater the severity; the SAPS2 score decreases by 0.69 points among adults and 0.76 points among older adults for each device installed upon admission. The severity prediction model (combining disease burden, organic dysfunction and number of devices) explains 61.1% of the phenomenon among adults and 67.3% among older adults.

Regarding the predictive capacity of each predictor, it was observed that organic dysfunction presented predictive capacity superior to 80% in both groups. Although the disease burden showed statistically significant predictive capacity, the area under the curve was not as good. It was observed that the number of devices alone does not give good predictive capacity.

DISCUSSION

The results demonstrated that organic dysfunction and disease burden on admission are independent predictors of admission severity, with organic dysfunction being the predictor with the best ability to predict admission severity, both in adults and older adults. In turn, a higher number of devices seems to be associated with a reduction in severity.

It has previously been shown that some isolated admission characteristics such as severity are related to higher mortality¹³. Identifying factors associated with greater severity in the ICU is fundamental for care practice, since this implies in a higher risk of death and other negative outcomes in the ICU. Mortality is expected to be higher in severe patients, notably among older adults¹⁴. Implementing interventions aimed at reducing severity depends on early identification of the associated factors. Since organic dysfunction and disease burden are two factors associated with greater severity, they should be systematically evaluated and established as the target of interdisciplinary interventions.

In fact, intensive care patients are expected to be more severe, and it is easy to understand that this severity may be due to increased organ involvement as a consequence of the disease or any other condition. When considering the admission criteria in ICU¹, it is expected the existence of some degree of organic dysfunction upon admission. Although it is expected, establishing this predictive association was not previously described, and therefore this limits the comparison of the results found in the present study. However, it has been shown that organic dysfunction predicts severity in approximately 87%, in addition to being a factor independently associated with greater severity. This means that greater organic dysfunction predicts severity 87% of the time. It can therefore be inferred that part of the severity is explained by the organic dysfunction that the patient presents and not by the health care and life support devices commonly used in ICUs.

In turn, the disease burden is also an important factor in the patient’s admission assessment. While organic dysfunction upon admission provides information about organic impairment, which may be due to an acute condition, the disease burden may be an indicator of the individual’s organic reserve. Due to the interaction of several comorbidities, the disease burden may not only be associated with greater severity, but also impose greater difficulty in patient recovery, especially for older adults, thus it can represent a predictor of complications and unfavorable outcomes¹⁵. The disease burden, measured herein by the CCI, should be considered when admitting ICU patients because of its relevant impact on the survival of critical patients¹⁶. Individuals with higher disease burdens present longer hospitalization time¹⁷ and greater chance of in-hospital mortality^{9), (18}.

Thus, it can be understood that admission severity is associated with organic dysfunction presented by an individual with higher disease burden and who may benefit from complex interventions implemented by an interdisciplinary team.

Another factor associated to severity was the number of health care devices, but in an inversely proportional relation since it was observed that the increase in their number was related to the severity reduction. No studies that analyzed this association were found. We would initially expect a different relationship in which the greater number of devices were associated with greater severity, since severely ill individuals need many devices for their treatment. On the other hand, the admission requirements of the study must be considered, in which severity was measured at admission. Individuals with the highest number of devices at admission were possibly those who had already entered the ICU with their treatment started and with severity status already controlled or stabilized. In any case, this association deserves to be further investigated before claiming that the greater number of devices decreases severity. For the time being, it is understood that there is an association.

There was no significant difference between admission severity presented by adults in relation to older adults. In addition, the admission severity was not as high in the sample as a whole. A recent study which examined 19,510 ICU admissions (45.7% of older adults) between 2001 and 2008 showed that patients’ severity at admission decreased over the years². Greater access to ICU beds may have interfered in this reduction, considering that the greater availability of beds implies the admission of individuals with lower severity.

Although there was no difference in severity between adults and older adults, there were some differences in the epidemiological profile between the groups. The adults were mostly men, admitted to a specialized trauma ICU due to traumatic conditions or external causes. Although the level of acuity was similar to that observed among older adults, the intensity of care provided was higher among adults, who presented a higher frequency of sedation, use of vasoactive drugs, use of mechanical ventilation and pressure injury.

In turn, the older adults (besides representing almost half of the sample) had a greater frequency of women increasing as their ages advanced, and were more admitted into the emergency medical clinic ICU for treatment of cardiovascular diseases. Although they presented a level of acuity and severity very similar to that of adults, the intensity of care given to older adults was lower. The older adults had a lower frequency of sedation, vasoactive drugs, mechanical ventilation and pressure injury compared to adults. Moreover, the intensity of care in the subgroup of older adults was higher among younger older adults in relation to medication number, frequency of sedation, use of vasoactive drugs, use of mechanical ventilation and pressure injury.

Similar results were obtained in a retrospective study of 1,129 critically ill patients over 80 years old admitted to the ICU¹⁹. The majority of patients were females (612 patients, 55%) and were admitted for treatment of clinical conditions (772 patients, 68%). Cardiovascular diseases were the second most frequent cause of hospitalization (185 patients, 16%). The most commonly received therapeutic support was mechanical ventilation (17% of the patients), and 9% of the patients received vasoactive drugs¹⁹. Inversely, another national study³ found that the intensity of care required by older adult patients was much higher than that reported in the present study. Of the 189 patients, almost all of whom were older adults, 50.8% were given vasoactive drugs and 56.6% underwent invasive mechanical ventilation. Mechanical ventilation is associated with higher mortality, especially in individuals over 75 years of age²⁰.

Although several of these differences between groups were observed from analyzing the trends and distributions found, most of them were not statistically significant. Thus, it cannot be said that older adults actually received less aggressive treatment on the first day of ICU admission. In addition to the results related to the level of acuity and intensity of care not being statistically significant, this study did not evaluate the suitability of the therapy. Other studies with larger samples are necessary to better explore the trends found which were not confirmed in this study.

The length of hospital stay was similar to that reported in a recent study²¹. Comparing the means of hospitalization time in relation to the age group, it was observed that they were very similar and with no statistically significant difference.

Length of hospitalization is an important indicator, since it has been shown that the longer the ICU stay, the greater the chance of adverse events occurring that compromise patient safety²². Older adults are individuals with a high propensity to suffer adverse events in the hospital environment²², however, their survival was lower than the survival of adults. An earlier study showed that the mortality of old and oldest-old adults was greater than that of adults¹². It has been reported that age is an independent predictor of ICU mortality. Octogenarians (80-year-old individuals) have a 1.63 times greater chance of in-hospital death, and this odds ratio increases to 2.64 for nonagenarians (90-year-old individuals)²³. However, a recent study did not confirm this association among nonagenarians²⁴.

An interesting finding was a slightly higher door to ICU time among older adults, especially in the subgroup of young-old. It was found that older adults tended to take a little longer to be admitted to the ICU than adults upon arrival at the hospital. This may be clinically justified by the longer time spent confirming the diagnosis among older adults, since atypical clinical presentation may make diagnosis difficult. It has been described¹¹ that older adults present atypical clinical presentation which demands more from the health professional in terms of clinical reasoning. On the other hand, the young-old had a longer door to ICU time than oldest-old adults.

It is a fact that population aging (considered a worldwide phenomenon) has increased the number of older adults in intensive care^{2), (11), (25)- (28}. The results showed that almost half of the sample consisted of older adults, which is in agreement with other studies that found a similar frequency in the proportion of older adults in the ICU^{2), (12), (19), (25)- (28}. It is expected that this frequency will continue to increase as the number of older adults increases in the different populations.

The various comparisons made in this study between the groups were those based on sociodemographic and clinical indicators (based on severity classification systems, such as the CCI, SAPS2 and LODS), traditionally used in studies with critical patients for evaluating acute physiological disorders and comorbidities that are present at the time of admission. These indicators have shown that the groups are similar in relation to the profile of severity and organic dysfunction.

Nevertheless, it cannot be taken for granted that there are no differences between adults and older adults in the ICU. Several important indicators for profile characterization in older adults were not evaluated. As this was a retrospective cohort, it was not possible to analyze indicators of extreme relevance in aging, such as the cognitive profile of individuals and the occurrence of delirium²⁸, their functional capacity, in addition to their state of frailty²⁹, a more recently addressed concept that is becoming increasingly used to provide more accurate prognostic information and to identify a vulnerable population, with increased risk of adverse events, morbidity and mortality^{29)- (30}. No records of these indicators were found in the analyzed medical charts, preventing a data analysis with greater geriatric/gerontological focus, which can be considered the main limitation of this study; the non-contemplation of the gerontological indicators in the analyzes. Future studies can be designed trying to explore such aspects. Until then, the matter cannot be considered resolved.

In any case, it is a fact that health professionals should be aware of the repercussions that the aging of the population imposes on intensive care units in order to implement individualized care that respects the specificities of this age group.

There must be an investment in continuing education programs to ensure that the nursing team is equipped to handle care of older adult patients, protecting the aspects of senescence and senility, which will guide the nursing process to achieve the best health outcomes, minimize events that compromise patient safety and reduce morbidity and mortality.

CONCLUSION

Adults and older adults presented a similar profile of severity and intensity of care at ICU admission. The predictors of admission severity in adults and older adults in the ICU are organic dysfunction and disease burden. A greater number of devices is associated with lower severity. On the other hand, organic dysfunction was the predictor with the best predictive capacity in both age groups. Studies that analyze the profile of older adults, safeguarding the specificities of aging and which analyze relevant gerontological indicators are important.

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• Financial support Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). Fundação de Amparo à Pesquisa de Estado de São Paulo (FAPESP). Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and the Fundación Mapfre.

Publication Dates

• Publication in this collection
  21 Jan 2019
• Date of issue
  2019

History

• Received
  30 Jan 2018
• Accepted
  06 Aug 2018