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Malnutrition of hospitalized patients is often undetected and untreated due to poor awareness and insufficient knowledge of the attending hospital staff. Nutritional screening has not been part of the daily routine in Croatian hospitals. Our aim was to implement nutritional screening as part of the routine medical examination and to assess the nutritional risk at admission for all hospitalized patients. All patients hospitalized in departments of internal medicine in tertiary hospitals in Croatia were screened at entry using the Nutrition Risk Screening 2002 (NRS 2002). Between October and December 2010, 1,696 patients were screened and analyzed (948 males and 748 females). 329 (19.4%) had an NRS 2002 score ≥3 and were considered to be at nutritional risk. An NRS 2002 score ≥3 was identified as a significant predictor of the length of hospital stay (beta coefficient = 0.06, p = 0.027) and fatal outcome (OR = 6.18, p < 0.001). Only 32.8% of malnourished patients received some nutritional support. Every fifth patient hospitalized in a general medical department in Croatia is at nutritional risk and the majority of them does not receive nutritional support. More effort is needed to implement nutritional standards in daily clinical practice.
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Original Paper
Ann Nutr Metab 2012;61:65–69
DOI: 10.1159/000338967
Nutritional Screening Model in Tertiary
Medical Unit in Croatia
Tajana Pavic a Neven LJubicic a Sanja Stojsavljevic a Zeljko Krznaric b
a Division of Gastroenterology and Hepatology, Department of Internal Medicine, Clinical Hospital Center Sisters
of Mercy, and
b Division of Gastroenterology, Department of Internal Medicine, University Hospital Center Zagreb,
Zagreb , Croatia
nutritional risk and the majority of them does not receive
nutritional support. More ef fort is needed to implement nu-
tritional standards in daily clinical practice.
Copyr ight © 2012 S. Karger AG, Ba sel
Introduction
Recognition of malnutrition in hospitalized patients
remains a significant component of inpatient care with
vast clinical and economic consequences. Multiple stud-
ies over many years have reported that the prevalence of
hospital malnutrition ranges from 20 to 50%
[1] . Despite
its high prevalence, which varies according to the meth-
odological, demographic and socioeconomic factors
[2] ,
malnutrition often remains undetected and untreated,
mostly due to the poor awareness and insufficient knowl-
edge of the attending hospital staff
[3] . Considering the
fact that nutritional care routines in Europe still remain
poor, one of the recently published conclusions of the Nu-
trition Day Audit Team was that establishment of proper
nutritional risk screening is an important starting point
for improving nutritional care in many European hospi-
tals
[4] . Nutritional screening has not been a part of the
daily routine in Croatian hospitals, nor was it included in
Key Words
NRS 2002 Malnutrition Nutritional screening
Malnutrition, hospital
Abstract
Background/Aims: Malnutrition of hospitalized patients is
often undetected and untreated due to poor awareness and
insufficient knowledge of the attending hospital staff. Nutri-
tional screening has not been part of the daily routine in Cro -
atian hospitals. Our aim was to implement nutritional screen-
ing as part of the routine medical examination and to assess
the nutritional risk at admission for all hospitalized patients.
Methods: All patients hospitalized in departments of inter-
nal medicine in ter tiar y hospit als in Cro atia were scre ened at
entry using the Nutrition Risk Screening 2002 (NRS 2002). Re-
sults: Between October and December 2010, 1,696 patients
were screened and analyzed (948 males and 748 females).
329 (19.4%) had an NRS 2002 score 6 3 and were considered
to be at nutritional risk. An NRS 2002 score 6 3 was identified
as a significant predictor of the length of hospital stay (beta
coefficient = 0.06, p = 0.027) and fatal outcome (OR = 6.18,
p ! 0.001). Only 32.8% of malnourished patients received
some nutritional support. Conclusions: Every fifth patient
hospitalized in a general medical department in Croatia is at
Recei ved: January 10, 2012
Accepted a fter revision: April 20, 2012
Publish ed online: July 24, 2012
Tajana Pavic
Division of Gastroenterology and Hepatology, Department of Internal Med icine
Cli nical Hospital Center Sisters of Merc y
Vinogradska cesta 29, HR–10000 Zagreb (Croatia)
Tel. +385 1 3787 111, E-Mail tajana.pavic
@ gmail.com
© 2012 S. Ka rger AG, Basel
0250–6807/12/0611–0065$38.00/0
Accessible online at:
www.karger.com/anm
Pavic /LJubicic /Stojsavljevic /Krznaric
Ann Nutr Metab 2012;61:65–69
66
health care policies involving other medical institutions.
Until now, there has been no data about the prevalence of
malnutrition in the patient population admitted to ter-
tiary medical units in Croatia. Our aim was to implement
nutritional risk screening as part of the routine medical
examination for all patients admitted to a medical de-
partment in a general university-affiliated hospital in
Croatia. The other objective is to assess the nutritional
risk at admission for all hospitalized patients using the
simple Nutritional Risk Screening tool 2002 (NRS 2002),
as recommended by the European Society for Clinical
Nutrition and Metabolism (ESPEN) for use in hospital
settings
[5] . Most importantly, we aimed to sensitize the
medical community in Croatia and regional countries to
nutritional issues and highlight the need for proper nu-
tritional interventions despite limited health care fund-
ing.
Materials and Methods
Our program began in April 2010 after a staff meeting and a
presentation about the problem of malnutrition in a hospital set-
ting which included the introduction of the screening tool NRS
2002. During a 6-month period educational activities were held
on each of 8 divisions (gastroenterology a nd hepatology, hematol-
ogy, cardiology, nephrology, endocrinology, immunology and
pulmonology, intensive care unit and intensive cardiac care unit)
at the Department of Internal Medicine in the Clinical Hospital
Center Sisters of Mercy, Zagreb, Croatia, regarding different as-
pects of NRS 2002, measurement of height, weight and body mass
index (BMI). Special attention was given to this subject and pre-
sentations continued to be held for interns and residents on each
ward to assure accurate collection of medical data. From 1 Octo-
ber 2010, all hospitalized patients were screened for nutritional
risk using NRS 2002 within 24 h of admission.
This study includes results of the first 3 months of monitor-
ing
– all patients hospitalized from the 1 October to 31 December
2010 were included in the study. Patients admitted to day care
units or for observation after endoscopic or other invasive proce-
dures were excluded. Body weight was measured in light clothes
with a portable electronic scale (Seca, Germany), and height was
measured with a portable stadiometer (Seca 220 telescopic mea-
suring rod). Weight and height were used to calculate BMI
(kg/m
2 ).
For bedridden patients in whom exact measurements
could not be obtained, BMI was approximated according to the
mid upper arm circumference. If the mid upper arm circumfer-
ence was less than 23.5 cm, BMI was estimated to be less than 20
[5] . Nutritional risk screening was assessed using the NRS 2002
[6] . T his nutritional risk s core has been validated to identi fy those
patients who are likely to benefit from nutritional support. The
risk is calculated by adding the Nutritional Score of 0–3 to the
Disease Severity Score of 0–3 plus a score of 1 for patients of 70
yea rs or older. Patients with a score of 3 or more points were con-
sidered at nutritional risk and were eligible for nutritional sup-
port.
Statistical Analyses
Data distribution was analyzed with the Smirnov-Kolmogo-
rov test and appropriate parametric tests according to the ob-
tained results. Patient characteristics were given as means, stan-
dard deviations and proportions of categorical variables. Com-
parisons of quantitative data between the two groups were
performed by the independent t test, and differences in frequen-
cies were compared by Pearson 2 test. p values ! 0.05 were con-
sidered significant. The linear regression model was used for the
prediction of the length of the hospital stay. The normality of dis-
tribution was previously checked with the Kolmogorov-Smirnov
test. In some cases when standard deviation is rather high com-
pared to mean, median and corresponding interquarti le range are
better markers for distribution description. After having done
this ( lengt h of hospital st ay media n: 9 days, IQR: 5–12 days), it was
obvious that the median is similar to the mean value. We also
ma de a n a na lysis wi th t he log-tra nsf orm ed l eng t h of hos pit al stay,
and there were no major differences compared to the previous
analysis. Data were analyzed using statistical package IBM SPSS
Statistics release 19.0.0.1 (www.spss.com, Chicago, Ill., USA).
R e s u l t s
A total of 2,115 patients were admitted to the Depart-
ment of Internal Medicine during the 3-month period, and
1,696 patients were screened and analyzed (948 men and
748 women). Those who were admitted to day care units,
who were hospitalized briefly for observation after an in-
vasive procedure, or had missing data for any other reason
were not analyzed. 1,114 patients (65.7%) were admitted as
emergency cases. 909 (53.6%) patients were older than 65
years. Overall mortality rate was 5.3%. Mean length of stay
during investigation time was 9.4 days (SD 6.1). When as-
sessed according to BMI only 2.9% of patients were classi-
fied as malnourished according to the WHO recommen-
dations
[7] (BMI ! 18.5). On the other hand, 36.9% patients
were classified as overweight (BMI 1 25) and 25.2% of pa-
tients were found to be obese (BMI 1 30). The main char-
acteristics of the patients are given in table1 .
The screening tool NRS 2002 demonstrated that out of
1,696 patient, 329 (19.4%) were at nutritional risk at the
time of hospital admission. Most of these patients (55.3%)
were classified as having normal weight according to the
BMI (18.5–25). The nutritional risk frequency according
to the age groups is presented in figure 1 . Regarding the
leading diagnosis, the highest prevalence of malnutrition
in absolute number was found in gastroenterological and
pulmonary patients ( fig.2 ). When assessed relatively
within each subspecialty, pulmonary (42.7%), nephrolog-
ical (37%), hematological (36.5%) and gastroenterological
(22.2%) patients were found to be at g reater r isk of malnu-
trition. In the group of patients with nutritional risk, sig-
Nutritional Screening Ann Nutr Metab 2012;61:65–69
67
nificantly more had malignant compared to benign dis-
ease (45.6 vs.15.4%, p ! 0.001). Patients with nutritional
ri sk exhibited a longer le ngt h of hospital stay compared to
patients who were not at risk (mean 9 vs. 11.5 days, SD 5.5
vs. 8.2; p ! 0.001). The linear regression model identified
independent predictors of the length of hospital stay: NRS
2002 6 3 (beta coefficient = 0.06, p = 0.027), older age
(beta coefficient = 0.06, p = 0.015), malignant disease
(beta coefficient = 0.11, p ! 0.001) and emergency hospital
admission (beta coefficient = 0.23, p ! 0.001) ( table 2 ).
NRS 2002 score 6 3 was also identified as a significant
predictor of fatal outcome (OR = 6.18, p ! 0.001) ( table3 ).
Tab le 1. Patients’ characteristics according to NRS 2002
NRS 2002 <3 NRS 2002 ≥3
Total, n 1,367 329
Age, years 61.9815.4 72.2813.9
Gender (M/F), n 780/587 168/161
Weight, kg 82.3817.8 68.9816.3
Height, cm 171.389.2 168.9814.5
BMI 27.985.4 23.285.6
Subspecialty, n
Gastroenterology
Pulmonology
Cardiology
Nephrology
Hematology
Endocrinology
Angiology
Other
394 (28.8%)
103 (7.5%)
514 (37.6%)
66 (4.8%)
59 (4.3%)
98 (7.2%)
104 (7.6%)
29 (2.1%)
112 (34.0%)
77 (23.4%)
42 (12.8%)
39 (11.9%)
34 (10.3%)
9 (2.7%)
8 (2.4%)
8 (2.4%)
<45
4.0%
NRS 2002 ≥3 (%)
0
Age (years)
10
20
30
40
50
60
70
80
90
45–64
19.2%
≥65
76.8%
Fig. 1. Prevalence of patients with NRS ≥ 3 according to the ad-
mitting diagnosis.
Gastroenterology 34.0
010 20
Prevalence of patients with NRS ≥3 (%)
30 40
Pulmonology 23.4
Cardiology 12.8
Nephrology 11.9
Hematology 10.3
Endocrinology 2.7
Angiology 2.4
Other 2.4
Fig. 2. Prevalence of patients with NRS ≥ 3 according to the ad-
mitting diagnosis.
Tab le 2 . Predictors for duration of hospital stay: linear regression
Parameter Standardized
coefficients
beta
t p 9 5.0% CI for
beta
lower
bound
upper
bound
BMI 0.00 0.02 0.987 –0.05 0.05
NRS ≥3 0.06 2.22 0.027 0.11 1.79
Age 0.06 2.43 0.015 0.00 0.04
Malignancy 0.11 4.60 <0.001 1.19 2.95
Emergency admission 0.23 9.24 <0.001 2.32 3.57
CI = Confidence interval.
Tab le 3 . I ndependent risk factors for fatal outcome of hospitaliza-
tion identified by logistic regression
Parameter OR p 9 5% CI
lower
bound
upper
bound
Age 1.03 0.002 1.01 1.06
LOH 0.92 0.002 0.88 0.97
Malignancy 1.37 0.319 0.74 2.56
Emergency admission 14.44 <0.001 3.44 60.52
BMI 1.02 0.528 0.97 1.06
NRS ≥3 6.18 <0.001 3.45 11.07
OR = Odds ratio; CI = confidence interval; LOH = length of
hospital stay.
Pavic /LJubicic /Stojsavljevic /Krznaric
Ann Nutr Metab 2012;61:65–69
68
During this period only 32.8% of patients with an ap-
parent indication for nutritional intervention received
some kind of nutritional support, half of them (14.9%)
apparently being severely malnourished (BMI ! 16).
Discussion
Nutritional risk screening, representing an essential
first step in the structured process of nutrition care
[6] , is
not part of the routine in most European hospitals
[8] .
The Committee of Ministers of the Council of Europe
adopted a resolution on Food and Nutrition Care in Hos-
pitals in November 2003, recommending a wide range of
measures regarding implementation of nutritional care
in hospitals starting with nutritional risk screening
[9] .
NRS 2002 defines nutritional risk by the present nutri-
tional status, and risk of impairment of the present status
due to the increased requirements caused by disease-re-
lated stress metabolism. The predictive validity of NRS
2002 has been documented by applying it to a retrospec-
tive analysis of 128 randomized controlled trials, show-
ing benefit from nutritional support
[10] and two pro-
spective controlled trials
[11, 1 2] . Until now, nutrition
screening in Croatia has not been a part of a routine med-
ical examination. Consequently, no epidemiological data
have been available on the prevalence of malnutrition in
the adult general population requiring hospitalization.
The popu lat ion i nclude d in th is s tudy, hospita lized in the
largest department in the second-largest medical center
in the Croatian capital, is, in our view, a good representa-
tive of the general status in Croatian hospitals. The ter-
tiary health care network in Croatia includes six univer-
sity hospitals which manage the majority of all patients,
although not necessarily the most difficult ones. The uni-
versity hospital, in which this study was undertaken, cov-
ers an area of approximately 300,000 inhabitants. Al-
though one has to take into account regional differences
and specifics of each medical specialty, the results of a
general medical department with a large number of hos-
pitalized patients per year (with geriatric and oncology
patients within 8 divisions mentioned earlier), such as
ours, reflects adequately the incidence of disease-related
malnutrition among medical patients in Croatian hospi-
tals. According to NRS 2002, the prevalence of malnutri-
tion on admission to the hospital in our study was 19.4%.
This agrees with previous findings that a significant pro-
portion of hospitalized patients are undernourished or at
nutritional risk at admission
[13 19] . According to an-
thropometric measurements McWhirter and Penning-
ton [13] found that 40% of surgical and nonsurgical pa-
tients were undernourished on admission, and Edington
et al.
[15 ] reported a 20% incidence of malnutrition which
was associated with an increased length of hospital stay.
In a comparative study by Naber et al.
[14] prevalence of
malnutrition in nonsurgical hospitalized patients at ad-
mission was 45% according to Subjective Global Assess-
ment (SGA), 57% according to the Nutritional Risk Index
and 62% according to the Maastricht Index; the severity
of malnutrition in the patients predicted the occurrence
of complications during their hospital stay. In the Ger-
man hospital malnutrition study malnutrition was re-
ported in 27% of patients according to SGA and associ-
ated with an increased length of hospital stay; higher age,
malignant disease and major comorbidity were found to
be independent risk factors
[16] . Three studies assessed
malnutrition on admission by NRS 2002. A large Turkish
study reported an incidence of 15% in the overall hospital
patient population
[17] . The results of the Swiss study on
32,837 patients admitted to internal medical depart-
ments detected an incidence of 18.2%, which resembles
most our study criteria and results
[18] . In an interna-
tional multicenter study in 26 hospital departments
32.6% of patients were defined as ‘at risk’ by NRS 2002
and had more complications, higher mortality and longer
lengths of stay tha n ‘not at risk’ patients. The authors con-
cluded that components of NRS 2002 are independent
predictors of poor clinical outcome
[19] . Our results (34%
of malnourished gastroenterological patients) support lo-
cal data on gastroenterolog y inpatients in a tertiar y med-
ical unit in Zagreb in which malnutrition, using the SGA,
was reported in 38.6% of patients
[20] . It is well known
that advanced age predisposes institutionalized subjects
to nutritional deficits
[21] . Our findings indicate that nu-
tritional risk increases with age. In those who were under
65 years of age the risk was found in 7.8%, while in those
over 65, nutritional risk was detected in 22.2%.
Not surprisingly, higher BMI was found to lower the
odds for malnutrition; nevertheless, this fact has to be
taken cautiously. BMI has been used to estimate an excess
or deficit in body weight, but it lacks precision in mea-
surement of body composition, which has been shown to
be clinically important in many contexts
[22] . Another
condition associated with obesity is sarcopenia, which
combines the health risks of obesity and depleted muscle
mass in a predominantly elderly population
[23, 24] . In
our population obesity showed no independent predic-
tive value for short-term survival.
NRS 2002 proved to be a simple, practical and reliable
screening method. During the initial training period,
Nutritional Screening Ann Nutr Metab 2012;61:65–69
69
only a few participants (mainly physicians and nurses)
were familiar with the NRS 2002; nevertheless, all were
able to implement successfully the screening tool in their
everyday practice. The nutritional-risk assessment train-
ing has become a part of the obligatory intern and resi-
dent educat ion in our institution. Emphasis shou ld be put
on the fact that nutritional screening has not only been
part of a study, but it has been implemented as a routine
procedure, in the hope that other institutions in Croatia
will also adopt it, based on our experience. The fact that
only 32.8% of patients assessed as being at nutritional risk
received nutritional support underlines the necessity for
further sensitization of medical staff regarding this prob-
lem and proves the importance of the goals achieved; one
of them is the introduction of the NRS 2002 screening
tool as a standard measure in the assessment of patient
medical status.
Conclusion
Every fifth patient hospitalized in a general medical
department in Croatia is at nutritional risk but only a
third of them receive nutritional support. Implementa-
tion of nutritional risk screening as a routine should be
the first step towards improving the awareness of medical
professionals regarding necessary nutritional interven-
tions.
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... Malnutrition in hospitalized patients is common and has been extensively reported in the literature but still remains undetected and untreated in our setting. This is due to poor awareness and insufficient knowledge of the attending staff and policy makers [28,29]. Recognition of malnutrition in hospitalised patients should remain a significant component of in-patient care as it has vast clinical and economic consequences [28]. ...
... This is due to poor awareness and insufficient knowledge of the attending staff and policy makers [28,29]. Recognition of malnutrition in hospitalised patients should remain a significant component of in-patient care as it has vast clinical and economic consequences [28]. We aimed at screening patients admitted to the Internal medicine wards in a tertiary medical centre in Cameroon using anthropometric and laboratory parameters in order to increase awareness of the burden of hospital malnutrition in similar settings. ...
... A finding that 42% of participants presented with more than a 10% unintentional weight loss on admission was similar to an earlier study in similar settings [35]. Many authors found that when nutritional screening was assessed by anthropometric indices, large discrepancies may exist as in this study, thereby advocating for use of combination of indices as in validated screening tools [28]. These screening tools will definitely add one more task that may encumber already busy nursing or medical staff but will eventually have to be introduced for more complete assessments once extra training and nutritional support teams have been put in place. ...
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... Data on the prevalence of hospital malnutrition in Croatian patients is incomplete. Searching the literature, we have found a study evaluating malnutrition risk in patients admitted to internal departments in one tertiary hospital [24], one in the Gastroenterology department [25] and one in children [26]. However, data on long-term malnutrition outcomes in our population is lacking. ...
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We aimed to provide insight into nutritional and clinical indicators of malnutrition risk and their influence on two-year mortality and re-hospitalization rate among patients hospitalized in internal clinic departments in the tertiary hospital in Croatia. Initially, data on 346 participants were obtained, while 218 of them where followed-up two years later. At baseline, the majority of participants were old and polymorbid (62.1% suffered from arterial hypertension, 29.5% from cancer, and 29.2% from diabetes). Even apparently presenting with satisfying anthropometric indices, 38.4% of them were at-risk for malnutrition when screened with the Nutritional Risk Screening-2002 (NRS-2002) questionnaire (NRS-2002 ≥ 3). More importantly, only 15.3% of all participants were prescribed an oral nutritional supplement during hospitalization. Those that were at-risk for malnutrition suffered significantly more often from cancer (54.9% vs. 20.6%; p < 0.001) and died more often in the follow-up period (42.7% vs. 23.5%; p < 0.003). Their anthropometric indices were generally normal and contradictory 46.3% were overweight and obese (body mass index (BMI) > 25 kg/m2). Only 36.6% of nutritionally endangered participants used an oral supplement in the follow-up period. NRS-2002 ≥ 3 correlated with anthropometric indices, glomerular filtration rate, age, and length of the initial hospital stay. Unlike other studies, NRS-2002 ≥ 3 was not an independent predictor of mortality and re-hospitalizations; other clinical, rather than nutritional parameters proved to be better predictors. Patients in our hospital are neither adequately nutritionally assessed nor managed. There is an urgent need to develop strategies to prevent, identify, and treat malnutrition in our hospital and post-discharge.
... Este estudo identificou 23,3% de risco nutricional entre os pacientes triados. A prevalência de risco nutricional encontrada em alguns estudos internacionais varia bastantes (entre 19,4% e 41,5%), porém, independente do percentual encontrado, a maior parte deles sinaliza que os componentes da NRS 2002 atuam como fortes preditores de desfechos clínicos negativos 8,9,10,11,12 . ...
... Malnutrition is common in ICU patients and often undetected and untreated due to inadequate nutritional knowledge of hospital staff [25,26]. erefore, nutritional risk screening plays an important role and is the first step in interventional nutrition guidance [27]. ...
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Background: The modified Nutrition Risk in the Critically Ill (mNUTRIC) score is a helpful tool to evaluate nutritional risk in critically ill patients. However, there is a lack of data on the relationship between mNUTRIC score and septic patients' outcomes. So, this study aims to validate the prognostic role of the mNUTRIC score and to compare the performances of mNUTRIC, APACHE II, SOFA, and SAPS 2 scores for mortality prediction in patients with sepsis. Methods: This prospective observational study was performed on 194 septic patients admitted to the Intensive Care Unit (ICU) of 108 Military Central Hospital. Sepsis was defined based on the sepsis-3 definition. The mNUTRIC score was used to evaluate the nutritional status within 24 h of ICU admission. Baseline characteristics and clinical information were collected to calculate the mNUTRIC, APACHE II, SOFA, and SAPS 2 scores. The outcome was in-hospital mortality from all causes. Results: Nonsurvivors patients had a significantly higher median mNUTRIC score (6 vs. 4, P < 0.001). The mortality rate in the group with a NUTRIC score ≥5 was significantly higher than in the group with a NUTRIC score <5 (56.0% vs 10.2%; P < 0.001). The area under the ROC curves (AUC) for predicting the mortality of mNUTRIC was 0.79 (sensitivity 67.1% and specificity 81.0% (P < 0.001)). Compared with other severity scores in mortality prediction, AUC was 0.78 for APACHE II (sensitivity 84.9% and specificity 67.7%), 0.77 for SOFA score (sensitivity 76.7% and specificity 65.3%), and 0.73 for SAPS 2 (sensitivity 66.1%, specificity 77.7%). In the multivariate analysis, mNUTRIC score was associated with in-hospital mortality (HR, 2.00; 95% CI, 1.54 to 2.58; P < 0.001). Conclusions: Our study showed that the mNUTRIC score was similar to severity scores (APACHE II, SOFA, SAPS 2) in mortality prediction and was the independent mortality predictor in patients with sepsis.
... The NRS-2002 was associated with a longer hospital stay, greater chance of developing complications, and a greater chance of using antibiotics. 37,38 According to the results of the present study, for every 10 patients at nutrition risk, 4 remained >10 days in the hospital. ...
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Background: The prevalence of malnutrition in emergency units is high, and data on the nutrition risk of patients admitted in these units are scarce. The aims of this study are to determine the nutrition risk profile of individuals admitted in an emergency unit and to identify clinical, anthropometric, and laboratory attributes according to nutrition risk classification. Materials and methods: A total of 234 individuals in an emergency unit from 1 university hospital in Brazil were enrolled in this cross-sectional study. The nutrition risk profile was determined using the Nutrition Risk Screening 2002. Sociodemographic, clinical, anthropometric, and laboratory data were collected. Comparisons between individuals "at risk" and "not at risk" and logistic regression analyzes were performed. Results: The prevalence of nutrition risk at admission was 48.7%. Patients at risk were older (P = .031), were less educated (P = .022), had a lower body mass index (P < .001), had higher concentrations of C-reactive protein (CRP; P = .007), had a higher CRP/serum albumin ratio (P = .004), had lower concentrations of serum albumin (P = .002), and had severe weight loss (P < .001). Altogether, this profile resulted in a longer hospital stay (P = .004), more complications (P = .005), and greater use of antibiotics (P = .024). In regression analyses, low serum albumin (odds ratio [OR], 2.75; 95% confidence interval [CI], 1.23-6.13) and, higher serum CRP (OR, 1.13; 95% CI, 1.00-3.72), use of antibiotics (OR, 13.3; 95% CI, 1.59-111.16) were predictors of long hospital stay. Conclusion: The prevalence of nutrition risk in emergency patients was high and its profile associated with worse clinical, laboratory, and anthropometric outcomes. The use of other laboratory and clinical variables may also be a good strategy for predicting adverse outcomes in emergency units.
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Background Malnutrition is prevalent among severely ill individuals hospitalized in ICUs (intensive care units). In order to determine the potential for nutritional consequences in ICU patients, the score of ‘modified nutrition risk in the critically ill’ (mNUTRIC) is applied. This research aimed to determine whether the mNUTRIC score could be employed in septic patients for predicting 28-day death. Methods Four hundred ten individuals hospitalized in the ICU with sepsis were involved in this prospective observational research. To evaluate nutritional status upon hospitalization to the ICU, the mNUTRIC score was applied. Demographic and clinical characteristics were used to determine the mNUTRIC score. Results Four hundred ten individuals with sepsis participated in this investigation. The 56.6% of cases were shown to be at elevated risk of malnutrition (mNUTRIC ≥ 5 points), whereas 43.4% showed a lower risk (mNUTRIC < 5 points). During 28 days of being hospitalized in the ICU, 225 patients (54.9%) died. The mortality rate increased significantly in the group with an mNUTRIC score of greater than or equal to 5 compared with the group with an mNUTRIC score of less than 5 ( P < 0.001). Multivariate analysis revealed a link between the mNUTRIC score and 28-day mortality (OR = 1.715, 95% CI = 1.549–1.898). The AUC (area under the curve) for mNUTRIC’s prediction of 28-day mortality was 0.866 (specificity 79.5% and sensitivity 80.9%) with the best cut-off value of 5. Conclusion When evaluating the likelihood of death within 28 days in patients with sepsis, the mNUTRIC score performed well as an independent predictor.
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Article
Aims: To determine the prevalence of nutritional risk at admission using the Nutrition Risk Screening (NRS 2002) protocol, and to identify which aspects of this protocol contributed most to the final score. Methods: A cross-sectional study included adult and elderly patients of both sexes, admitted to clinical departments (except maternity, emergency and mental health unit) of a hospital in the city of Farroupilha, Rio Grande do Sul state, Brazil. Individuals were assessed through NRS 2002 in the first three days after admission. Results: A total of 386 patients were evaluated. They had a mean age of 56.7±20.7 years, and 198 (51.3 %) were female . Nutritional risk was present in 57 (14.8 %) patients. In the first part of the nutritional screening , 315 (81.6 %) patients had at least one positive response indicating nutritional risk, being the reduction of food intake in the last week the most prevalent. In the second part it was noted that, in relation to nutritional status, the proportion of the severe condition was present in 21 patients (36.8 % of the sample at risk). In relation to severity of disease, the prevailing condition was mild disease, in 29 (50.9 %) patients. Additional score given by age over 70 years helped to characterize nutritional risk in 35 patients (61.4 %). Conclusions: There was a high proportion of patients with nutritional risk. Reduction in food intake in the previous week was the variable that contributed most to give sequence to the second stage of the nutrition screening process.
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AIMS: To determine the prevalence of nutritional risk at admission using the Nutrition Risk Screening (NRS 2002) protocol, and to identify which aspects of this protocol contributed most to the final score. METHODS: A cross-sectional study included adult and elderly patients of both sexes, admitted to clinical departments (except maternity, emergency and mental health unit) of a hospital in the city of Farroupilha, Rio Grande do Sul state, Brazil. Individuals were assessed through NRS 2002 in the first three days after admission. RESULTS : A total of 386 patients were evaluated. They had a mean age of 56.7±20.7 years, and 198 (51.3 %) were female . Nutritional risk was present in 57 (14.8 %) patients. In the first part of the nutritional screening , 315 (81.6 %) patients had at least one positive response indicating nutritional risk, being the reduction of food intake in the last week the most prevalent. In the second part it was noted that, in relation to nutritional status, the proportion of the severe condition was present in 21 patients (36.8 % of the sample at risk). In relation to severity of disease, the prevailing condition was mild disease, in 29 (50.9 %) patients. Additional score given by age over 70 years helped to characterize nutritional risk in 35 patients (61.4 %). CONCLUSIONS : There was a high proportion of patients with nutritional risk. Reduction in food intake in the previous week was the variable that contributed most to give sequence to the second stage of the nutrition screening process.
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Undernutrition has been associated with longer length of hospital stay (LOS). However, an analysis that investigates the association of recommended undernutrition diagnostic and screening indicators with LOS conducted in patients with a varied spectrum of pathologies and considering confounders would help to clarify their clinical value. We aimed to quantify the association of being undernourished as evaluated by different methodologies with LOS and their validity in predicting inpatient LOS. A prospective observational study was conducted. Undernutrition was evaluated by the Academy of Nutrition and Dietetics-American Society for Parental and Enteral Nutrition recommended clinical characteristics of malnutrition (AA-CCM) tool, the Patient-Generated Subjective Global Assessment (PG-SGA), the Nutritional Risk Screening (NRS-2002) tool, and the Malnutrition Universal Screening tool (MUST). Handgrip strength (HGS) quartiles by sex and phase angle (PA) categories were also used as indicators of undernutrition. Six hundred eighty-two inpatients from a Portuguese university hospital participated between 2011 and 2013. LOS was determined between the date of hospital admission and discharge. Kaplan-Meier and adjusted Cox proportional hazard ratio (HR) methods were applied. Moderate or severe undernutrition by AA-CCM (HR 0.58, 95% CI 0.49 to 0.69), by PG-SGA (moderate or suspected: HR 0.60, 95% CI 0.49 to 0.73 and severe: HR 0.52, 95% CI 0.42 to 0.64), risk of undernutrition assessed by NRS-2002 (HR 0.61, 95% CI 0.52 to 0.73), by MUST (medium: HR 0.75, 95% CI 0.60 to 0.95 and high: HR 0.67, 95% CI 0.55 to 0.81), HGS quartile (second: HR 0.64, 95% CI 0.50 to 0.80 and first [lowest]: HR 0.50, 95% CI 0.39 to 0.64) and nutritional risk defined by low PA (HR 0.62, 95% CI 0.48 to 0.81) were all independently associated with lower probability of being discharged from the hospital. Despite assessing different dimensions of nutritional status, undernutrition by AA-CCM and PG-SGA, risk of undernutrition assessed by NRS-2002 and MUST, and low HGS and PA independently predict longer LOS in hospitalized patients. All these methodologies share a similar validity in predicting LOS. Copyright © 2015 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.
Article
Objectives: To determine incidence of malnutrition among patients on admission to hospital, to monitor their changes in nutritional status during stay, and to determine awareness of nutrition in different clinical units. Design: Prospective study of consecutive admissions. Setting: Acute teaching hospital. Subjects: 500 patients admitted to hospital: 100 each from general surgery, general medicine, respiratory medicine, orthopaedic surgery, and medicine for the elderly. Main outcome measures: Nutritional status of patients on admission and reassessment on discharge, review of case notes for information about nutritional status. Results: On admission, 200 of the 500 patients were undernourished (body mass index less than 20) and 34% were overweight (body mass index > 25). The 112 patients reassessed on discharge had mean weight loss of 5.4%, with greatest weight loss in those initially most undernourished. But the 10 patients referred for nutritional support showed mean weight gain of 7.9%. Review of case notes revealed that, of the 200 undernourished patients, only 96 had any nutritional information documented. Conclusion: Malnutrition remains a largely unrecognised problem in hospital and highlights the need for education on clinical nutrition.
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Disease-related undernutrition is significant in European hospitals but is seldom treated. In 1999, the Council of Europe decided to collect information regarding Nutrition programmesin hospitals and for this purpose a network consisting of national experts from 12 of the Partial Agreement member states was established. The aim was to review the current practice in Europe regarding hospital food provision, to highlight deficiencies and to issue recommendations in improve the nutritional care and support of hospitalised patients. The data collection regarding the nutritional care providers and their practices of nutritional care and support showed that the use of nutritional risk screening and assessment, and of nutritional support and counselling was sparse and inconsistent, and that the responsibilities in these contexts were unclear. Besides, the educational level with regard to nutritional care and support was limited at all levels. All patients have the right to expect that their nutritional needs will be fulfilled during a hospitalisation. Optimal supply of food is a prerequisite for an optimal effect of the specific treatment offered to patients. Hence, the responsibilities of staff categories and the hospital management with respect to procuring nutritional care and support should be clearly assigned. Also, a general improvement in the educational level of all staff groups is needed.
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Strategies to treat malnutrition lack practicability in the hospital setting. The present study aimed at developing and evaluating a routinely manageable concept for an improved nutritional care of malnourished in-hospital patients. A randomized controlled intervention study was conducted. 132 risk patients defined by Nutritional Risk Screening 2002, were randomized to individualised nutrition support (intervention group [n = 66]) or standard hospital care (control group [n = 66]). Body weight, plasma vitamin levels, quality of life, complications, antibiotic therapies, readmissions and mortality were assessed. Nutrition interventions led to higher intakes (mean [standard deviation]) in energy (1553 [341] kcal vs. 1115 [381] kcal, p < 0.001) and protein (65.4 [16.4] g vs. 43.9 [17.2] g, p < 0.001). Intervention patients (n = 66) kept their body weight in comparison to control patients (n = 66; 0.0 [2.9] kg vs. -1.4 [3.2] kg, p = 0.008). Positive effects on plasma ascorbic acid level (46.7 [26.7] μmol/l vs. 34.1 [24.2] μmol/l, p = 0.010), SF-36 function summary scale (37 [11] % vs. 32 [9] %, p = 0.030), number of complications (4/66 vs. 13/66, p = 0.035), antibiotic therapies (1/66 vs. 8/66, p = 0.033) and readmissions (17/64 vs. 28/61, p = 0.027) were recorded. Malnourished patients profit from nutrition support regarding nutrition status and quality of life. They have fewer complications, need fewer antibiotics and are less often re-hospitalised.
Article
Recognition and treatment of undernutrition in hospitalized patients are not often a priority in clinical practice. We investigated how the nutritional risk of patients is determined and whether such assessment influences daily nutritional care across Europe and in Israeli hospitals. 1217 units from 325 hospitals in 25 countries with 21,007 patients participated in a longitudinal survey "nutritionDay" 2007/2008 undertaken in Europe and Israel. Screening practice, the type of tools used and whether energy requirements and intake are assessed and monitored were surveyed using standardized questionnaires. Fifty-two percent (range 21-73%) of the units in the different regions reported a screening routine which was most often performed with locally developed methods and less often with national tools, the Nutrition Risk Screening-2002, or the Malnutrition Universal Screening Tool. Twenty-seven percent of the patients were subjectively classified as being "at nutritional risk", with substantial differences existing between regions. Independent factors influencing the classification of nutritional risk included age, BMI <18.5 kg/m(2), unintentional weight loss, reduced food intake in the previous week and on nutritionDay (for all parameters, p < 0.0001). The energy goal was defined as >=1500 kcal in 76% of the patients, but 43% of patients did not reach this goal. The process of nutrition risk assessment varied between units and countries. Additionally, energy goals were frequently not met. More effort is needed to implement current guidelines within daily clinical practice.
Article
According to the literature, undernutrition is prevalent in 20-60% of patients on hospital admission. The differences in the rate of undernutrition arise from different diagnostic tools used in the studies. We aimed to investigate the prevalence of undernutrition in Swiss hospitals using a standardized screening tool. All patients admitted to the departments of internal medicine of 7 Swiss hospitals were screened at entry for nutritional status using the Nutrition Risk Screening 2002 score. Patients with a score of 3 or more, which denotes severe undernutrition or patient "at risk" for undernutrition were analyzed. Between May 2003 and April 2006 32,837 patients were included in the study. 5978 (18.2%) had a score of 3 or more and were classified as severely undernourished or at high risk for undernutrition (age<45 y: 8%; 45-64 y: 11%; 65-84 y: 22%; >85 y: 28%). A nutritional intervention was made in 4175 patients (12.7%). Nearly one in five patients was severely undernourished or "at risk" for undernutrition. Undernutrition was directly related to age. Patients with a clear indication for nutrition therapy, as suggested by the formal screening procedure, obtained nutritional intervention in 70%.
Article
We conducted a multicentre study to assess nutritional risk at hospital admission, hospital-associated iatrogenic malnutrition and the status of nutritional support in Turkish hospitals. A database which allowed for online submission of hospital and patient data was developed. A nutritional risk screening system (NRS-2002) was applied to all patients and repeated weekly in patients with hospital stays greater than one week and no invasive procedures. Patient-specific nutritional support was recorded during the study period. Thirty-four hospitals from 19 cities contributed data from 29,139 patients. On admission, 15% of patients had nutritional risk. Nutritional risk was common (52%) in intensive care unit patients and lowest (3.9%) in otorhinolaryngology patients. Only 51.8% of patients with nutritional risk received nutritional support. Nutritional risk was present in 6.25% of patients at the end of the first week and 5.2% at the end of the second week, independent of nutritional support. In patients with nutritional risk on admission who were hospitalized for two weeks and received nutritional support, the NRS-2002 score remained > or =3 in 83% of cases. Nutritional risk is common in hospitalized Turkish patients. While patients at nutritional risk often do not receive nutritional support when hospitalized, nutritional risk occurs independent of nutritional support.
Article
Nutritional status was assessed in 300 geriatric patients aged 75 years or more using clinical, anthropometric, biochemical and immunologic methods. Relations between different assessment methods and their prognostic significance with regard to 18-month mortality were examined. For biochemical variables 10% (prealbumin, vitamin B6) to 37% (vitamins A and C) were below conventional limits. In 44% of the patients lymphocytes were diminished. 44% were anergic. Judgement of nutritional status by clinical impression resulted in 22% being deemed undernourished. Clinical diagnosis of undernutrition was associated with low anthropometric measurements (p less than 0.05 for all parameters) and a high prevalence of low biochemical values (p less than 0.05 for albumin, prealbumin, transferrin, vitamin A, vitamin B1). The mean values of all anthropometric variables, plasma proteins, vitamins A and C were significantly lower in patients who died within the following 18 months compared to survivors. The greatest prognostic significance was related to the clinical diagnosis of malnutrition. We conclude that clinical assessment is useful for the evaluation of nutritional status in geriatric patients and the best of numerous nutritional parameters to estimate risk of long-term mortality.