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. 2022 Mar 28;8(3):e09188. doi: 10.1016/j.heliyon.2022.e09188

The impact of body mass index on the prognostic performance of the Simplified Acute Physiology Score 3: A prospective cohort study

Isabella BB Ferreira a,b,d,i,1, Rodrigo C Menezes b,e,f,i,1, Matheus L Otero c, Thomas A Carmo b,c,d, Gabriel A Agareno c, Gabriel P Telles d, Bruno VB Fahel d, María B Arriaga b,e,f, Kiyoshi F Fukutani b,e, Licurgo Pamplona Neto g, Sydney Agareno g, Kevan M Akrami e,f,h,2, Nivaldo M Filgueiras Filho a,d,i,2, Bruno B Andrade b,c,d,e,f,∗,2
PMCID: PMC9095890  PMID: 35573266

Abstract

Objective

To assess the Simplified Acute Physiology Score 3 (SAPS3) prognostic score performance across different body mass index categories.

Methods

A retrospective cohort study in a general ICU in Brazil. A secondary analysis of medical records was performed with clinical and epidemiological data. Patients were stratified according to their body mass index (BMI) category, and a binary logistic regression was then performed to identify factors independently associated with mortality. SAPS3 accuracy was determined using the area under the receiver operating characteristics curve and the Hosmer-Lemeshow test. A modified Kaplan-Meyer plot was employed to evaluate death probability according to BMI. ICU mortality was evaluated as the primary outcome.

Results

A total of 2,179 patients (mean age of 67.9 years and female predominance (53.1%)) were enrolled. SAPS3 was found accurate in all groups except in the underweight (AUC: 0.694 95% CI 0.616–0.773; HL = 0.042). The patients in the underweight group tended to be older, have longer hospital stay, have worse functional status, and have a higher value on prognostic scores. After the adjustments, no statistically significant difference between the BMI groups was noted in relation to mortality, except for the low weight that presented a likelihood of death of 3.50 (95% CI, 1.43–8.58, p = 0.006).

Conclusion

This research showed that SAPS3 had poor accuracy in predicting ICU mortality in underweight patients. This group was shown to be an independent risk factor for worse clinical outcomes.

Keywords: Intensive care unit, Simplified Acute Physiology Score 3, Body mass index, Mortality, Prognosis


Intensive care unit; Simplified Acute Physiology Score 3; Body Mass Index, Mortality, Prognosis.

1. Introduction

Healthcare, a dynamically evolving field, involves a broad range of complex variables, as patients characteristics and therapeutic and diagnostic tools change over time. Thus, prognostic scores need to be reassessed frequently to ensure their optimal functionality [1]. Body weight is commonly used in the composition of scores, but the body composition of the population has been changing over recent years; the prevalence of obesity almost tripled between 1975 and 2016 [2].

The World Health Organization (WHO) has reported that obesity is the abnormal or excessive accumulation of body fat that can affect health. The Body mass index (BMI) is one of the recommended tools for its diagnosis [2]. Following the global trend of increasing obesity rates, data collected in Brazil, from 2018 onwards, reveal that 55.7% of the country's adult population is overweight and 19.8% is obese, while the corresponding values in 2006 were 42.6% and 11.8%, respectively [3]. Excess body fat has a well-established association with increased morbidity and mortality in long-term follow-up of out-of-hospital populations. In addition, the increase in the prevalence of obesity in the general population and the burden of comorbidities associated with this disease resulted in an increase in the number of hospitalizations of obese people in intensive care units (ICU) [4].

Despite the obesity epidemic, developing countries present a double burden, in which the obese coexist with a significant population of underweight individuals [5, 6]. Several studies have demonstrated the association of low BMI with all-cause mortality and underlying pathologies in an advanced stage. However, this condition is not considered by most prognostic scores and is not widely studied in the context of ICU [7]. The Simplified Acute Physiology Score 3 (SAPS3) was developed from a multinational database of general ICU patients and is commonly used in Brazilian ICUs, as it has shown good calibration and discrimination in low- and middle-income countries [1, 8]. However, as the country's epidemiological scenario has changed over the years, this study seeks to assess the accuracy of the score in a large cohort of critically ill patients, emphasizing the differences between BMI strata.

2. Methods

2.1. Clinical study design

An observational, analytical cohort study was conducted from August 2015 through July 2018 in a general ICU at Hospital da Cidade in Salvador, Bahia, Brazil. A secondary analysis of admission data stored in the Epimed Monitor system was performed. All patients consecutively admitted to the ICU with the length of stay >24 h were included. Patients <18 years or those with missing data were excluded.

Covariates included were age, weight, height, sex, comorbidities, functional capacity, admission diagnosis, length of ICU and hospital stay, physiological and laboratorial data within the first six hours of admission, complications, use of supportive therapy in the ICU, Modified Frailty Index (MFI) [9], the SAPS3 [8], the Charlson Comorbidity Index (CCI) [10]. The patients were stratified based on their BMI values obtained at ICU admission into underweight (BMI <18.5 kg/m2), normal weight (BMI range, 18.5–24.9 kg/m2), overweight (BMI 25–29.9 kg/m2), obese grade I (BMI, 30–34.9 kg/m2) or obese grade II/III (BMI >35 kg/m2) [2]. Our primary outcome was ICU death.

2.2. Ethics statement

This article was ethically approved by the Research Ethics Committee of Hospital Ana Nery under number 2,571,265 and CAAE 52892315.1.0000.0045. This same ethics committee approved the waiver of consent to participate in accordance with the regulatory standards of the national health council (N° 466/12), which addresses observational, analytical, or descriptive studies that use the information available in medical records; in which data is analyzed anonymously. The present study was conducted in accordance with the Declaration of Helsinki.

2.3. Data analysis

Categorical variables were expressed as frequencies and percentages and analyzed by Fisher's exact test and Z-test. Continuous variables with normal distribution were expressed as means (standard deviation, SD) and means between groups were compared with the one-way analysis of variance (ANOVA) and Tukey's HSD test. Non-normal continuous variables were expressed as median (interquartile range, IQR) and compared with the Mann-Whitney U test and the Kruskal-Wallis test. Normality was assessed by the d'Agostino-Pearson test. All tests results were two-tailed and considered statistically significant for p < 0.05. A binary logistic regression, the backward stepwise method, was used to identify characteristics independently associated with ICU mortality. Finally, the area under the receiver operating characteristic curve (ROC) was determined to assess the discriminative capacity of SAPS3. AUC >0.8 was considered satisfactory. Calibration was assessed using Hosmer-Lemeshow goodness-of-fit test.

The data were analyzed with Microsoft Excel suite Office 365, GraphPad Prism version 6.01, and Statistical Package for the Social Sciences, SPSS version 25.0 (IBM, SPSS, USA).

3. Results

During the study period, 2401 patients were admitted to the ICU. Two hundred and twenty-two subjects were excluded due to missing height, weight, or outcome data or because they did not meet the study inclusion criteria. Finally, 2179 patients were divided into five groups according to their BMI categories (Figure 1). General patient characteristics are provided in Table 1.

Figure 1.

Figure 1

Study flowchart.

Table 1.

Characteristics of the study population.

Variable General
(n = 2179)
Non-survivors
(n = 343)
Survivors
(n = 1836)
p-value
Age (years) 68 ± 18 77 ± 15 66 ± 18 <0.0001
Gender, female 1158 (53.1) 172 (50.1) 986 (53.7) 0.239
BMI 25.6 ± 5.7 23.1 ± 5.5 26.0 ± 5.6 <0.0001
Eutrophic 914 (41.9) 172 (50.1) 742 (40.4) 0.001
Underweight 171 (7.8) 64 (18.7) 107 (5.8) <0.0001
Overweight 700 (32.1) 76 (22.2) 624 (34.0) <0.0001
Obese Grade I 272 (12.5) 21 (6.1) 251 (13.7) <0.0001
Obese Grade II/III 122 (5.6) 10 (2.9) 112 (6.1) 0.015
Congestive heart failure 132 (6.1) 16 (4.7) 116 (6.3) 0.268
Chronic renal failure 251 (11.5) 45 (13.1) 206 (11.2) 0.311
Cirrhosis 28 (1.3) 6 (1.7) 22 (1.2) 0.430
Cancer 302 (13.9) 71 (20.7) 231 (12.6) <0.0001
Immune deficiency 27 (1.2) 7 (2.0) 20 (1.1) 0.177
Diabetes 817 (37.5) 132 (38.5) 685 (37.3) 0.716
Coronary Artery Disease 241 (11.1) 31 (9.0) 210 (11.4) 0.223
Chronic Atrial Fibrillation 137 (6.3) 32 (9.3) 105 (5.7) 0.015
Stroke 340 (15.6) 77 (22.4) 263 (14.3) <0.0001
Dementia 125 (5.7) 48 (14.0) 77 (4.2) <0.0001
Tobacco 164 (7.5) 19 (5.5) 145 (7.9) 0.147
Alcoholism 119 (5.5) 22 (6.4) 97 (5.3) 0.436
Psychiatric disease 169 (7.8) 23 (6.7) 146 (8.0) 0.509
Dyslipidemias 201 (9.2) 24 (7.0) 177 (9.6) 0.128
Systolic arterial pressure (mmHg) 138 ± 29 130 ± 30 139 ± 28 0.846
Diastolic Blood Pressure (mmHg) 79 ± 20 75 ± 21 80 ± 20 <0.0001
Mean Arterial Pressure (mmHg) 99 ± 21 93 ± 22 100 ± 20 <0.0001
HR (bpm) 86 ± 20 94 ± 22 84 ± 20 <0.0001
RR (bpm) 20 ± 4 21 ± 5 20 ± 4 <0.0001
Temperature (°C) 36 ± 1 36 ± 1 36 ± 1 0.692
Urea (mmol/L) 57 ± 47 86 ± 64 51 ± 42 <0.0001
Creatinine (mg/dL) 1.44 ± 2 1.86 ± 2 1.36 ± 2 <0.0001
Platelets (x103) 235 ± 113 230 ± 130 236 ± 109 0.420
Hematocrit (%) 34 ± 7 32 ± 8 35 ± 7 <0.0001
Leukocytes total (x103; /uL) 11 ± 11 13 ± 7 11 ± 11 0.011
 Bands (/uL) 176.1 ± 511.6 304.6 ± 666.5 152.1 ± 473.5 <0.0001
 Segmented (x103; /uL) 9.26 ± 5.74 11.05 ± 6.40 8.92 ± 5.54 <0.0001
 Eosinophils (/uL) 123.5 ± 246.5 112.6 ± 286.0 125.5 ± 238.4 0.404
 Basophils (/uL) 18.6 ± 48.7 8.58 ± 27.55 20.47 ± 51.55 <0.0001
 Lymphocytes (x103; /uL) 1.69 ± 8.84 1.27 ± 1.04 1.77 ± 9.61 0.360
 Atypical (/uL) 9.78 ± 172.8 28.58 ± 390.26 6.26 ± 83.38 0.034
 Monocytes (/uL) 562.6 ± 390.2 521.38 ± 410.73 570.34 ± 385.85 0.040
Na (mEq/L) 139.3 ± 7.11 138.86 ± 9.56 139.4 ± 6.53 0.211
K (mEq/L) 4.32 ± 0.85 4.56 ± 1.07 4.28 ± 0.79 <0.0001
Use of vasoactive drug 201 (9.2) 93 (27.1) 108 (5.9) <0.0001
Use of mechanical ventilation 347 (15.9) 149 (43.4) 198 (10.8) <0.0001
C-reactive Protein (mg/L) 84.64 ± 69.73 136.75 ± 63.45 74.37 ± 66.25 <0.0001
Length of stay prior to ICU admission (days) 2.37 ± 11.31 4.12 ± 11.20 2.05 ± 11.30 0.002
ICU Duration (days) 8.04 ± 13.30 16.08 ± 24.20 6.54 ± 9.31 <0.0001
ICU readmission 200 (9.2) 49 (2.2) 151 (8.2) <0.0001

Results expressed by number (%), mean ± standard deviation (SD). MAP = Mean arterial pressure; HR = heart rate; RR = Respiratory rate.

When comparing the BMI groups, the underweight participants had significantly different characteristics. They were older and had a longer length of stay prior to ICU admission and lower mean arterial pressure. A third of this group had an infection as the main diagnosis, in addition to a higher prevalence of comorbidities such as cancer, stroke, and dementia. In contrast, overweight and obese patients had a higher frequency of admissions for surgery and cardiovascular pathologies. No significant difference was observed regarding the need for organic support in ICU (Table 2). There were 343 (15.7%) deaths reported in the ICU during the study period. Especially among the underweight group, there was a higher mortality rate, accompanied by higher scores on the modified Frailty Index (MFI), CCI, and SAPS3 (Table 2). Multiple comparisons between each BMI group are represented in Tables 3 and 4.

Table 2.

Comparison between BMI groups.

Characteristics Underweight
(n = 171)
Normal weight
(n = 914)
Overweight
(n = 700)
Obese Grade I
(n = 272)
Obese Grade II/III
(n = 122)
p-value
Age (years; mean, SD) 76.06 ± 16.39 69.48 ± 18.51 66.10 ± 16.73 64.67 ± 16.19 62.40 ± 18.78 <0.0001
Gender, female (n, %) 98 (57.3) 438 (47.9) 356 (50.9) 176 (64.7) 90 (73.8) <0.0001
SAPS3 (mean, SD) 54.06 ± 11.49 48.52 ± 12.68 44.63 ± 11.49 43.01 ± 11.87 44.02 ± 12.39 <0.0001
CCI (mean, SD) 2.06 ± 1.90 1.75 ± 1.84 1.55 ± 1.68 1.28 ± 1.63 1.24 ± 1.50 <0.0001
MFI (mean, SD) 1.94 ± 1.30 1.62 ± 1.30 1.68 ± 1.21 1.67 ± 1.06 1.75 ± 1.08 0.040
Admission Diagnosis (n, %) <0.0001
 Cardiovascular 25 (14.6) 152 (16.6) 160 (22.9) 81 (29.8) 34 (27.9)
 Respiratory 13 (7.6) 55 (6.0) 40 (5.7) 13 (4.8) 5 (4.1)
 Neurological 22 (12.9) 171 (18.7) 115 (16.4) 41 (15.1) 11 (9.0)
 Infectious 57 (33.3) 184 (20.1) 96 (13.7) 30 (11.0) 25 (20.5)
 Surgical 10 (5.8) 141 (15.4) 143 (20.4) 65 (23.9) 21 (17.2)
 Other 44 (25.7) 211 (23.1) 146 (20.9) 42 (15.4) 26 (21.3)
Use of VAD (n, %) 21 (12.3) 86 (9.4) 60 (8.6) 27 (9.9) 7 (5.7) 0.375
Use of MV (n, %) 32 (18.7) 157 (17.2) 110 (15.7) 38 (14.0) 10 (8.2) 0.081
Length of stay prior to ICU (days) 4.95 ± 16.70 2.95 ± 14.58 1.65 ± 6.28 1.22 ± 4.77 1.08 ± 3.47 0.001
ICU length of stay (days) 9.77 ± 12.86 9.34 ± 15.85 6.84 ± 10.74 6.79 ± 12.07 5.58 ± 5.51 <0.0001
Congestive Heart Failure (n, %) 11 (6.4) 59 (6.5) 44 (6.3) 13 (4.8) 5 (4.1) 0.257
Chronic Kidney Disease (n, %) 17 (9.9) 119 (13.0) 82 (11.7) 26 (9.6) 7 (5.7) 0.021
Cirrhosis (n, %) 1 (0.6) 9 (1.0) 14 (2.0) 3 (1.1) 1 (0.8) 0.453
Cancer (n, %) 29 (17.0) 149 (16.3) 90 (12.9) 23 (8.5) 11 (9.0) 0.004
Immunodeficiency (n, %) 2 (1.2) 17 (1.9) 4 (0.6) 3 (1.1) 1 (0.8) 0.056
Diabetes Mellitus (n, %) 61 (35.7) 315 (34.5) 277 (39.6) 108 (39.7) 56 (45.9) 0.003
Coronary Artery Disease (n, %) 12 (7.0) 86 (9.4) 106 (15.1) 23 (8.5) 14 (11.5) 0.098
Stroke (n, %) 41 (24.0) 157 (17.2) 96 (13.7) 35 (12.9) 11 (9.0) 0.002
Dementia (n, %) 29 (17.0) 60 (6.6) 25 (3.6) 7 (2.6) 4 (3.3) <0.0001
Performance status (n, %) <0.0001
Completely independent 113 (66.1) 778 (85.1) 641 (91.6) 245 (90.1) 109 (89.3)
Partially independent 18 (10.5) 65 (7.1) 39 (5.6) 18 (6.6) 8 (6.6)
Fully dependent 40 (23.4) 71 (7.8) 20 (2.9) 9 (3.3) 5 (4.1)
Clinical and Laboratory (mean, SD)
 Mean arterial pressure (mmHg) 91.88 ± 21.22 97.45 ± 20.80 99.73 ± 20.22 102.45 ± 20.71 101.32 ± 21.53 <0.0001
 Heart rate (bpm) 89.70 ± 21.04 86.31 ± 20.83 84.46 ± 19.55 82.57 ± 19.17 87.90 ± 21.52 0.001
 Respiratory rate (ipm) 21.21 ± 4.98 20.10 ± 4.43 20.23 ± 4.34 19.83 ± 4.55 20.45 ± 4.21 0.021
 Creatinine (mg/dL) 1.40 ± 2.27 1.49 ± 2.28 1.52 ± 2.63 1.26 ± 1.82 1.08 ± 1.10 0.249
 Platelets (x103) 252.5 ± 136.0 239.7 ± 113.7 227.3 ± 110.3 221.1 ± 76.0 259.8 ± 149.3 0.001
 Hematocrit (%) 32.34 ± 6.75 34.17 ± 7.58 35.20 ± 7.38 36.75 ± 6.65 36.10 ± 5.94 <0.0001
 Na (mEq/L) 140.2 ± 8.87 138.7 ± 7.68 139.7 ± 6.25 140.0 ± 6.48 139.1 ± 5.40 0.014
 C Reactive Protein (mg/dL) 96.77 ± 64.73 91.38 ± 70.15 79.53 ± 70.15 72.48 ± 67.35 73.09 ± 68.99 <0.0001
ICU deaths (n, %) 64 (37.4) 172 (18.8) 76 (10.9) 21 (7.7) 10 (8.2) <0.0001

Results expressed by number (%), mean ± standard deviation (SD). CCI = Charlson Comorbidity Index, MFI = Modified Frailty Index, ICU = Intensive care unit; VAD = Vasoactive drug; MV = Mechanical ventilation; bpm = beats per minute; incursions per minute.

Table 3.

Multiple comparisons between BMI categories.

Variable BMI Reference category BMI comparison group Mean difference (95% CI) Error2 p-value
Age Underweight Normal weight 6,58 (2,48; 10,69) 1.46 0.001
Overweight 9,97 (5,77; 14,17) 1.5 0.001
Obese grade I 11,39 (6,58; 16,2) 1.71 0.001
Obese grade II/III 13,66 (7,82; 19,5) 2.08 0.001
Normal weight Underweight -6,58 (-10,69; -2,48) 1.46 0.001
Overweight 3,39 (0,91; 5,86) 0.88 0.001
Obese grade I 4,81 (1,41; 8,21) 1.21 0.001
Obese grade II/III 7,08 (2,33; 11,83) 1.69 0.001
Overweight Underweight -9,97 (-14,17; -5,77) 1.5 0.001
Normal weight -3,39 (-5,86; -0,91) 0.88 0.001
Obese grade I 1,42 (-2,1; 4,94) 1.25 0.787
Obese grade II/III 3,7 (-1,14; 8,53) 1.72 0.2
Obese grade I Underweight -11,39 (-16,2; -6,58) 1.71 0.001
Normal weight -4,81 (-8,21; -1,41) 1.21 0.001
Overweight -1,42 (-4,94; 2,1) 1.25 0.787
Obese grade II/III 2,27 (-3,1; 7,64) 1.91 0.758
Obese grade II/III Underweight -13,66 (-19,5; -7,82) 2.08 0.001
Normal weight -7,08 (-11,83; -2,33) 1.69 0.001
Overweight -3,7 (-8,53; 1,14) 1.72 0.2
Obese grade I -2,27 (-7,64; 3,1) 1.91 0.758
SAPS3 Underweight Normal weight 5,55 (2,71; 8,38) 1.01 0.001
Overweight 9,43 (6,53; 12,33) 1.03 0.001
Obese grade I 10,96 (7,64; 14,28) 1.18 0.001
Obese grade II/III 10,04 (6,01; 14,07) 1.43 0.001
Normal weight Underweight -5,55 (-8,38; -2,71) 1.01 0.001
Overweight 3,88 (2,18; 5,59) 0.61 0.001
Obese grade I 5,42 (3,07; 7,77) 0.84 0.001
Obese grade II/III 4,5 (1,22; 7,77) 1.17 0.001
Overweight Underweight -9,43 (-12,33; -6,53) 1.03 0.001
Normal weight -3,88 (-5,59; -2,18) 0.61 0.001
Obese grade I 1,53 (-0,9; 3,96) 0.87 0.39
Obese grade II/III 0,61 (-2,72; 3,95) 1.19 0.986
Obese grade I Underweight -10,96 (-14,28; -7,64) 1.18 0.001
Normal weight -5,42 (-7,77; -3,07) 0.84 0.001
Overweight -1,53 (-3,96; 0,9) 0.87 0.39
Obese grade II/III -0,92 (-4,63; 2,78) 1.32 0.957
Obese grade II/III Underweight -10,04 (-14,07; -6,01) 1.43 0.001
Normal weight -4,5 (-7,77; -1,22) 1.17 0.001
Overweight -0,61 (-3,95; 2,72) 1.19 0.986
Obese grade I 0,92 (-2,78; 4,63) 1.32 0.957
CCI Underweight Normal weight 0,31 (-0,1; 0,72) 0.15 0.205
Overweight 0,51 (0,09; 0,93) 0.15 0.006
Obese grade I 0,78 (0,29; 1,26) 0.17 0.001
Obese grade II/III 0,82 (0,24; 1,4) 0.21 0.001
Normal weight Underweight -0,31 (-0,72; 0,1) 0.15 0.205
Overweight 0,2 (-0,05; 0,45) 0.09 0.153
Obese grade I 0,46 (0,12; 0,8) 0.12 0.001
Obese grade II/III 0,51 (0,03; 0,98) 0.17 0.022
Overweight Underweight -0,51 (-0,93; -0,09) 0.15 0.006
Normal weight -0,2 (-0,45; 0,05) 0.09 0.153
Obese grade I 0,26 (-0,09; 0,61) 0.13 0.222
Obese grade II/III 0,31 (-0,18; 0,79) 0.17 0.38
Obese grade I Underweight -0,78 (-1,26; -0,29) 0.17 0.001
Normal weight -0,46 (-0,8; -0,12) 0.12 0.001
Overweight -0,26 (-0,61; 0,09) 0.13 0.222
Obese grade II/III 0,05 (-0,49; 0,58) 0.19 0.999
Obese grade II/III Underweight -0,82 (-1,4; -0,24) 0.21 0.001
Normal weight -0,51 (-0,98; -0,03) 0.17 0.022
Overweight -0,31 (-0,79; 0,18) 0.17 0.38
Obese grade I -0,05 (-0,58; 0,49) 0.19 0.999
MFI Underweight Normal weight 0,32 (0,03; 0,61) 0.01 0.016
Overweight 0,26 (-0,03; 0,56) 0.01 0.091
Obese grade I 0,27 (-0,07; 0,61) 0.01 0.168
Obese grade II/III 0,2 (-0,22; 0,61) 0.01 0.665
Normal weight Underweight -0,32 (-0,61; -0,03) 0.01 0.016
Overweight -0,06 (-0,23; 0,12) 0.01 0.893
Obese grade I -0,05 (-0,29; 0,19) 0.01 0.976
Obese grade II/III -0,12 (-0,46; 0,21) 0.01 0.839
Overweight Underweight -0,26 (-0,56; 0,03) 0.01 0.091
Normal weight 0,06 (-0,12; 0,23) 0.01 0.893
Obese grade I 0,01 (-0,24; 0,25) 0.01 1
Obese grade II/III -0,07 (-0,41; 0,27) 0.01 0.982
Obese grade I Underweight -0,27 (-0,61; 0,07) 0.01 0.168
Normal weight 0,05 (-0,19; 0,29) 0.01 0.976
Overweight -0,01 (-0,25; 0,24) 0.01 1
Obese grade II/III -0,07 (-0,45; 0,3) 0.01 0.983
Obese grade II/III Underweight -0,2 (-0,61; 0,22) 0.01 0.665
Normal weight 0,12 (-0,21; 0,46) 0.01 0.839
Overweight 0,07 (-0,27; 0,41) 0.01 0.982
Obese grade I 0,07 (-0,3; 0,45) 0.01 0.983
Length of stay prior to ICU Underweight Normal weight 0,43 (-2,67; 3,54) 0.94 0.211
Overweight 2,93 (-0,24; 6,11) 0.96 0.006
Obese grade I 2,98 (-0,65; 6,61) 1.1 0.007
Obese grade II/III 4,19 (-0,22; 8,6) 1.34 0.031
Normal weight Underweight -0,43 (-3,54; 2,67) 0.94 0.211
Overweight 2,5 (0,63; 4,37) 0.57 0.15
Obese grade I 2,55 (-0,02; 5,12) 0.79 0.179
Obese grade II/III 3,76 (0,17; 7,34) 1.09 0.422
Overweight Underweight -2,93 (-6,11; 0,24) 0.96 0.006
Normal weight -2,5 (-4,37; -0,63) 0.57 0.15
Obese grade I 0,05 (-2,61; 2,71) 0.81 0.985
Obese grade II/III 1,26 (-2,4; 4,91) 1.11 0.986
Obese grade I Underweight -2,98 (-6,61; 0,65) 1.1 0.007
Normal weight -2,55 (-5,12; 0,02) 0.79 0.179
Overweight -0,05 (-2,71; 2,61) 0.81 0.985
Obese grade II/III 1,21 (-2,85; 5,26) 1.23 1
Obese grade II/III Underweight -4,19 (-8,6; 0,22) 1.34 0.031
Normal weight -3,76 (-7,34; -0,17) 1.09 0.422
Overweight -1,26 (-4,91; 2,4) 1.11 0.986
Obese grade I -1,21 (-5,26; 2,85) 1.23 1
ICU length of stay Underweight Normal weight 2 (-0,65; 4,64) 1.1 0.995
Overweight 3,3 (0,59; 6) 1.13 0.071
Obese grade I 3,72 (0,62; 6,82) 1.29 0.143
Obese grade II/III 3,87 (0,11; 7,62) 1.57 0.059
Normal weight Underweight -2 (-4,64; 0,65) 1.1 0.995
Overweight 1,3 (-0,3; 2,9) 0.67 0.002
Obese grade I 1,73 (-0,48; 3,93) 0.92 0.043
Obese grade II/III 1,87 (-1,19; 4,93) 1.28 0.027
Overweight Underweight -3,3 (-6; -0,59) 1.13 0.071
Normal weight -1,3 (-2,9; 0,3) 0.67 0.002
Obese grade I 0,43 (-1,85; 2,7) 0.95 1
Obese grade II/III 0,57 (-2,54; 3,68) 1.3 0.87
Obese grade I Underweight -3,72 (-6,82; -0,62) 1.29 0.143
Normal weight -1,73 (-3,93; 0,48) 0.92 0.043
Overweight -0,43 (-2,7; 1,85) 0.95 1
Obese grade II/III 0,14 (-3,32; 3,6) 1.44 0.919
Obese grade II/III Underweight -3,87 (-7,62; -0,11) 1.57 0.059
Normal weight -1,87 (-4,93; 1,19) 1.28 0.027
Overweight -0,57 (-3,68; 2,54) 1.3 0.87
Obese grade I -0,14 (-3,6; 3,32) 1.44 0.919
Hospital length of stay Underweight Normal weight 1,33 (-3,63; 6,29) 1.77 0.944
Overweight 6,5 (1,42; 11,58) 1.81 0.003
Obese grade I 7,95 (2,14; 13,76) 2.07 0.001
Obese grade II/III 7,58 (0,53; 14,64) 2.51 0.022
Normal weight Underweight -1,33 (-6,29; 3,63) 1.77 0.944
Overweight 5,17 (2,18; 8,16) 1.06 0.001
Obese grade I 6,62 (2,51; 10,74) 1.46 0.001
Obese grade II/III 6,25 (0,51; 11,99) 2.04 0.019
Overweight Underweight -6,5 (-11,58; -1,42) 1.81 0.003
Normal weight -5,17 (-8,16; -2,18) 1.06 0.001
Obese grade I 1,45 (-2,8; 5,71) 1.51 0.873
Obese grade II/III 1,08 (-4,76; 6,92) 2.08 0.985
Obese grade I Underweight -7,95 (-13,76; -2,14) 2.07 0.001
Normal weight -6,62 (-10,74; -2,51) 1.46 0.001
Overweight -1,45 (-5,71; 2,8) 1.51 0.873
Obese grade II/III -0,37 (-6,86; 6,11) 2.31 1
Obese grade II/III Underweight -7,58 (-14,64; -0,53) 2.51 0.022
Normal weight -6,25 (-11,99; -0,51) 2.04 0.019
Overweight -1,08 (-6,92; 4,76) 2.08 0.985
Obese grade I 0,37 (-6,11; 6,86) 2.31 1
Mean arterial pressure Underweight Normal weight -5,57 (-10,41; -0,72) 1.72 0.011
Overweight -7,85 (-12,81; -2,89) 1.77 0.001
Obese grade I -10,56 (-16,24; -4,89) 2.02 0.001
Obese grade II/III -9,44 (-16,34; -2,53) 2.46 0.001
Normal weight Underweight 5,57 (0,72; 10,41) 1.72 0.011
Overweight -2,28 (-5,21; 0,65) 1.04 0.185
Obese grade I -5 (-9,01; -0,98) 1.43 0.004
Obese grade II/III -3,87 (-9,49; 1,76) 2 0.3
Overweight Underweight 7,85 (2,89; 12,81) 1.77 0.001
Normal weight 2,28 (-0,65; 5,21) 1.04 0.185
Obese grade I -2,72 (-6,87; 1,44) 1.48 0.353
Obese grade II/III -1,59 (-7,31; 4,14) 2.04 0.936
Obese grade I Underweight 10,56 (4,89; 16,24) 2.02 0.001
Normal weight 5 (0,98; 9,01) 1.43 0.004
Overweight 2,72 (-1,44; 6,87) 1.48 0.353
Obese grade II/III 1,13 (-5,23; 7,48) 2.26 0.988
Obese grade II/III Underweight 9,44 (2,53; 16,34) 2.46 0.001
Normal weight 3,87 (-1,76; 9,49) 2 0.3
Overweight 1,59 (-4,14; 7,31) 2.04 0.936
Obese grade I -1,13 (-7,48; 5,23) 2.26 0.988
Heart rate Underweight Normal weight 3,39 (-1,36; 8,14) 1.69 0.262
Overweight 5,24 (0,38; 10,11) 1.73 0.021
Obese grade I 7,14 (1,57; 12,7) 1.98 0.003
Obese grade II/III 1,8 (-4,97; 8,57) 2.41 0.945
Normal weight Underweight -3,39 (-8,14; 1,36) 1.69 0.262
Overweight 1,85 (-1,02; 4,71) 1.02 0.368
Obese grade I 3,74 (-0,2; 7,68) 1.4 0.059
Obese grade II/III -1,59 (-7,11; 3,92) 1.96 0.927
Overweight Underweight -5,24 (-10,11; -0,38) 1.73 0.021
Normal weight -1,85 (-4,71; 1,02) 1.02 0.368
Obese grade I 1,9 (-2,18; 5,97) 1.45 0.687
Obese grade II/III -3,44 (-9,05; 2,17) 2 0.421
Obese grade I Underweight -7,14 (-12,7; -1,57) 1.98 0.003
Normal weight -3,74 (-7,68; 0,2) 1.4 0.059
Overweight -1,9 (-5,97; 2,18) 1.45 0.687
Obese grade II/III -5,34 (-11,56; 0,89) 2.22 0.114
Obese grade II/III Underweight -1,8 (-8,57; 4,97) 2.41 0.945
Normal weight 1,59 (-3,92; 7,11) 1.96 0.927
Overweight 3,44 (-2,17; 9,05) 2 0.421
Obese grade I 5,34 (-0,89; 11,56) 2.22 0.114
Respiratory rate Underweight Normal weight 1,12 (0,07; 2,16) 0.37 0.023
Overweight 0,98 (-0,08; 2,05) 0.38 0.073
Obese grade I 1,38 (0,16; 2,61) 0.44 0.013
Obese grade II/III 0,76 (-0,73; 2,25) 0.53 0.606
Normal weight Underweight -1,12 (-2,16; -0,07) 0.37 0.023
Overweight -0,13 (-0,76; 0,5) 0.22 0.977
Obese grade I 0,27 (-0,6; 1,13) 0.31 0.907
Obese grade II/III -0,36 (-1,57; 0,86) 0.43 0.925
Overweight Underweight -0,98 (-2,05; 0,08) 0.38 0.073
Normal weight 0,13 (-0,5; 0,76) 0.22 0.977
Obese grade I 0,4 (-0,5; 1,29) 0.32 0.72
Obese grade II/III -0,22 (-1,46; 1,01) 0.44 0.987
Obese grade I Underweight -1,38 (-2,61; -0,16) 0.44 0.013
Normal weight -0,27 (-1,13; 0,6) 0.31 0.907
Overweight -0,4 (-1,29; 0,5) 0.32 0.72
Obese grade II/III -0,62 (-2; 0,75) 0.49 0.707
Obese grade II/III Underweight -0,76 (-2,25; 0,73) 0.53 0.606
Normal weight 0,36 (-0,86; 1,57) 0.43 0.925
Overweight 0,22 (-1,01; 1,46) 0.44 0.987
Obese grade I 0,62 (-0,75; 2) 0.49 0.707
Temperature Underweight Normal weight -0,13 (-0,38; 0,12) 0.09 0.598
Overweight -0,11 (-0,37; 0,15) 0.09 0.755
Obese grade I -0,14 (-0,44; 0,15) 0.1 0.64
Obese grade II/III -0,11 (-0,46; 0,25) 0.13 0.917
Normal weight Underweight 0,13 (-0,12; 0,38) 0.09 0.598
Overweight 0,02 (-0,13; 0,17) 0.05 0.996
Obese grade I -0,02 (-0,22; 0,19) 0.07 1
Obese grade II/III 0,02 (-0,27; 0,31) 0.1 1
Overweight Underweight 0,11 (-0,15; 0,37) 0.09 0.755
Normal weight -0,02 (-0,17; 0,13) 0.05 0.996
Obese grade I -0,03 (-0,25; 0,18) 0.08 0.991
Obese grade II/III 0 (-0,29; 0,3) 0.1 1
Obese grade I Underweight 0,14 (-0,15; 0,44) 0.1 0.64
Normal weight 0,02 (-0,19; 0,22) 0.07 1
Overweight 0,03 (-0,18; 0,25) 0.08 0.991
Obese grade II/III 0,04 (-0,29; 0,36) 0.12 0.998
Obese grade II/III Underweight 0,11 (-0,25; 0,46) 0.13 0.917
Normal weight -0,02 (-0,31; 0,27) 0.1 1
Overweight 0 (-0,3; 0,29) 0.1 1
Obese grade I -0,04 (-0,36; 0,29) 0.12 0.998
Creatinine Underweight Normal weight -0,08 (-0,65; 0,49) 0.2 0.994
Overweight -0,11 (-0,7; 0,47) 0.21 0.983
Obese grade I 0,14 (-0,52; 0,81) 0.24 0.974
Obese grade II/III 0,32 (-0,48; 1,12) 0.28 0.793
Normal weight Underweight 0,08 (-0,49; 0,65) 0.2 0.994
Overweight -0,03 (-0,37; 0,31) 0.12 0.999
Obese grade I 0,23 (-0,24; 0,69) 0.17 0.646
Obese grade II/III 0,4 (-0,24; 1,04) 0.23 0.393
Overweight Underweight 0,11 (-0,47; 0,7) 0.21 0.983
Normal weight 0,03 (-0,31; 0,37) 0.12 0.999
Obese grade I 0,26 (-0,23; 0,74) 0.17 0.565
Obese grade II/III 0,43 (-0,22; 1,09) 0.23 0.339
Obese grade I Underweight -0,14 (-0,81; 0,52) 0.24 0.974
Normal weight -0,23 (-0,69; 0,24) 0.17 0.646
Overweight -0,26 (-0,74; 0,23) 0.17 0.565
Obese grade II/III 0,18 (-0,55; 0,9) 0.26 0.96
Obese grade II/III Underweight -0,32 (-1,12; 0,48) 0.28 0.793
Normal weight -0,4 (-1,04; 0,24) 0.23 0.393
Overweight -0,43 (-1,09; 0,22) 0.23 0.339
Obese grade I -0,18 (-0,9; 0,55) 0.26 0.96
Platelets Underweight Normal weight 12,75 (-14,8; 40,29) 9.8 0.691
Overweight 25,15 (-3,07; 53,38) 10.04 0.09
Obese grade I 31,41 (-0,81; 63,62) 11.46 0.049
Obese grade II/III -7,35 (-46,3; 31,59) 13.86 0.984
Normal weight Underweight -12,75 (-40,29; 14,8) 9.8 0.691
Overweight 12,41 (-4,11; 28,92) 5.88 0.216
Obese grade I 18,66 (-4,01; 41,33) 8.07 0.141
Obese grade II/III -20,1 (-51,61; 11,41) 11.21 0.378
Overweight Underweight -25,15 (-53,38; 3,07) 10.04 0.09
Normal weight -12,41 (-28,92; 4,11) 5.88 0.216
Obese grade I 6,26 (-17,23; 29,75) 8.36 0.945
Obese grade II/III -32,51 (-64,61; -0,4) 11.43 0.036
Obese grade I Underweight -31,41 (-63,62; 0,81) 11.46 0.049
Normal weight -18,66 (-41,33; 4,01) 8.07 0.141
Overweight -6,26 (-29,75; 17,23) 8.36 0.945
Obese grade II/III -38,76 (-74,42; -3,1) 12.69 0.019
Obese grade II/III Underweight 7,35 (-31,59; 46,3) 13.86 0.984
Normal weight 20,1 (-11,41; 51,61) 11.21 0.378
Overweight 32,51 (0,4; 64,61) 11.43 0.036
Obese grade I 38,76 (3,1; 74,42) 12.69 0.019
Hematocrit Underweight Normal weight -1,83 (-3,6; -0,06) 0.63 0.031
Overweight -2,86 (-4,68; -1,04) 0.65 0.001
Obese grade I -4,41 (-6,48; -2,34) 0.74 0.001
Obese grade II/III -3,75 (-6,26; -1,25) 0.89 0.001
Normal weight Underweight 1,83 (0,06; 3,6) 0.63 0.031
Overweight -1,03 (-2,09; 0,03) 0.38 0.051
Obese grade I -2,58 (-4,04; -1,12) 0.52 0.001
Obese grade II/III -1,92 (-3,95; 0,1) 0.72 0.059
Overweight Underweight 2,86 (1,04; 4,68) 0.65 0.001
Normal weight 1,03 (-0,03; 2,09) 0.38 0.051
Obese grade I -1,55 (-3,06; -0,04) 0.54 0.032
Obese grade II/III -0,89 (-2,96; 1,17) 0.74 0.742
Obese grade I Underweight 4,41 (2,34; 6,48) 0.74 0.001
Normal weight 2,58 (1,12; 4,04) 0.52 0.001
Overweight 1,55 (0,04; 3,06) 0.54 0.032
Obese grade II/III 0,66 (-1,64; 2,95) 0.82 0.929
Obese grade II/III Underweight 3,75 (1,25; 6,26) 0.89 0.001
Normal weight 1,92 (-0,1; 3,95) 0.72 0.059
Overweight 0,89 (-1,17; 2,96) 0.74 0.742
Obese grade I -0,66 (-2,95; 1,64) 0.82 0.929
Leukocytes Underweight Normal weight 0,55 (-2,18; 3,28) 0.97 0.98
Overweight 0,53 (-2,27; 3,32) 0.99 0.984
Obese grade I 0,84 (-2,35; 4,03) 1.14 0.946
Obese grade II/III -0,48 (-4,34; 3,37) 1.37 0.997
Normal weight Underweight -0,55 (-3,28; 2,18) 0.97 0.98
Overweight -0,02 (-1,66; 1,62) 0.58 1
Obese grade I 0,3 (-1,95; 2,54) 0.8 0.996
Obese grade II/III -1,03 (-4,15; 2,09) 1.11 0.886
Overweight Underweight -0,53 (-3,32; 2,27) 0.99 0.984
Normal weight 0,02 (-1,62; 1,66) 0.58 1
Obese grade I 0,32 (-2,01; 2,64) 0.83 0.996
Obese grade II/III -1,01 (-4,19; 2,17) 1.13 0.899
Obese grade I Underweight -0,84 (-4,03; 2,35) 1.14 0.946
Normal weight -0,3 (-2,54; 1,95) 0.8 0.996
Overweight -0,32 (-2,64; 2,01) 0.83 0.996
Obese grade II/III -1,33 (-4,86; 2,21) 1.26 0.829
Obese grade II/III Underweight 0,48 (-3,37; 4,34) 1.37 0.997
Normal weight 1,03 (-2,09; 4,15) 1.11 0.886
Overweight 1,01 (-2,17; 4,19) 1.13 0.899
Obese grade I 1,33 (-2,21; 4,86) 1.26 0.829
Segmented neutrophils Underweight Normal weight 498,96 (-898,42; 1896,34) 497.27 0.854
Overweight 1178,21 (-253,81; 2610,23) 509.59 0.141
Obese grade I 1036,11 (-597,74; 2669,96) 581.42 0.384
Obese grade II/III -244,51 (-2219,86; 1730,84) 702.94 0.997
Normal weight Underweight -498,96 (-1896,34; 898,42) 497.27 0.854
Overweight 679,25 (-159,73; 1518,23) 298.56 0.153
Obese grade I 537,15 (-612,92; 1687,22) 409.26 0.683
Obese grade II/III -743,47 (-2341,97; 855,02) 568.84 0.687
Overweight Underweight -1178,21 (-2610,23; 253,81) 509.59 0.141
Normal weight -679,25 (-1518,23; 159,73) 298.56 0.153
Obese grade I -142,1 (-1334,02; 1049,82) 424.15 0.997
Obese grade II/III -1422,72 (-3051,59; 206,14) 579.64 0.102
Obese grade I Underweight -1036,11 (-2669,96; 597,74) 581.42 0.384
Normal weight -537,15 (-1687,22; 612,92) 409.26 0.683
Overweight 142,1 (-1049,82; 1334,02) 424.15 0.997
Obese grade II/III -1280,62 (-3089,49; 528,24) 643.7 0.271
Obese grade II/III Underweight 244,51 (-1730,84; 2219,86) 702.94 0.997
Normal weight 743,47 (-855,02; 2341,97) 568.84 0.687
Overweight 1422,72 (-206,14; 3051,59) 579.64 0.102
Obese grade I 1280,62 (-528,24; 3089,49) 643.7 0.271
Band neutrophils Underweight Normal weight 75,96 (-48,73; 200,65) 44.37 0.427
Overweight 105,63 (-22,15; 233,41) 45.47 0.138
Obese grade I 140,73 (-5,06; 286,52) 51.88 0.052
Obese grade II/III 66,52 (-109,75; 242,78) 62.72 0.827
Normal weight Underweight -75,96 (-200,65; 48,73) 44.37 0.427
Overweight 29,67 (-45,19; 104,54) 26.64 0.799
Obese grade I 64,77 (-37,85; 167,39) 36.52 0.389
Obese grade II/III -9,44 (-152,08; 133,19) 50.76 1
Overweight Underweight -105,63 (-233,41; 22,15) 45.47 0.138
Normal weight -29,67 (-104,54; 45,19) 26.64 0.799
Obese grade I 35,1 (-71,26; 141,45) 37.85 0.886
Obese grade II/III -39,12 (-184,46; 106,23) 51.72 0.943
Obese grade I Underweight -140,73 (-286,52; 5,06) 51.88 0.052
Normal weight -64,77 (-167,39; 37,85) 36.52 0.389
Overweight -35,1 (-141,45; 71,26) 37.85 0.886
Obese grade II/III -74,21 (-235,62; 87,19) 57.44 0.696
Obese grade II/III Underweight -66,52 (-242,78; 109,75) 62.72 0.827
Normal weight 9,44 (-133,19; 152,08) 50.76 1
Overweight 39,12 (-106,23; 184,46) 51.72 0.943
Obese grade I 74,21 (-87,19; 235,62) 57.44 0.696
Lymphocytes Underweight Normal weight -28,93 (-2185,57; 2127,71) 767.45 1
Overweight -796,2 (-3006,3; 1413,9) 786.48 0.85
Obese grade I -360,33 (-2881,92; 2161,25) 897.32 0.995
Obese grade II/III -274,81 (-3323,44; 2773,83) 1084.88 0.999
Normal weight Underweight 28,93 (-2127,71; 2185,57) 767.45 1
Overweight -767,27 (-2062,09; 527,56) 460.77 0.456
Obese grade I -331,4 (-2106,35; 1443,55) 631.63 0.985
Obese grade II/III -245,88 (-2712,9; 2221,15) 877.91 0.999
Overweight Underweight 796,2 (-1413,9; 3006,3) 786.48 0.85
Normal weight 767,27 (-527,56; 2062,09) 460.77 0.456
Obese grade I 435,87 (-1403,67; 2275,4) 654.61 0.964
Obese grade II/III 521,39 (-1992,5; 3035,29) 894.59 0.978
Obese grade I Underweight 360,33 (-2161,25; 2881,92) 897.32 0.995
Normal weight 331,4 (-1443,55; 2106,35) 631.63 0.985
Overweight -435,87 (-2275,4; 1403,67) 654.61 0.964
Obese grade II/III 85,53 (-2706,16; 2877,22) 993.44 1
Obese grade II/III Underweight 274,81 (-2773,83; 3323,44) 1084.88 0.999
Normal weight 245,88 (-2221,15; 2712,9) 877.91 0.999
Overweight -521,39 (-3035,29; 1992,5) 894.59 0.978
Obese grade I -85,53 (-2877,22; 2706,16) 993.44 1
Atypical lymphocytes Underweight Normal weight -4,12 (-46,25; 38,01) 14.99 0.999
Overweight -3,93 (-47,11; 39,25) 15.37 0.999
Obese grade I -33,62 (-82,87; 15,64) 17.53 0.308
Obese grade II/III 0,12 (-59,43; 59,67) 21.19 1
Normal weight Underweight 4,12 (-38,01; 46,25) 14.99 0.999
Overweight 0,19 (-25,12; 25,51) 9.01 1
Obese grade I -29,5 (-64,17; 5,18) 12.34 0.118
Obese grade II/III 4,24 (-43,95; 52,43) 17.15 0.999
Overweight Underweight 3,93 (-39,25; 47,11) 15.37 0.999
Normal weight -0,19 (-25,51; 25,12) 9.01 1
Obese grade I -29,69 (-65,63; 6,25) 12.79 0.138
Obese grade II/III 4,05 (-45,07; 53,16) 17.48 0.999
Obese grade I Underweight 33,62 (-15,64; 82,87) 17.53 0.308
Normal weight 29,5 (-5,18; 64,17) 12.34 0.118
Overweight 29,69 (-6,25; 65,63) 12.79 0.138
Obese grade II/III 33,74 (-20,8; 88,27) 19.41 0.41
Obese grade II/III Underweight -0,12 (-59,67; 59,43) 21.19 1
Normal weight -4,24 (-52,43; 43,95) 17.15 0.999
Overweight -4,05 (-53,16; 45,07) 17.48 0.999
Obese grade I -33,74 (-88,27; 20,8) 19.41 0.41
Monocytes Underweight Normal weight -47,81 (-142,96; 47,33) 33.86 0.62
Overweight -16,02 (-113,52; 81,48) 34.7 0.991
Obese grade I -40,29 (-151,53; 70,96) 39.59 0.847
Obese grade II/III -96,22 (-230,71; 38,28) 47.86 0.261
Normal weight Underweight 47,81 (-47,33; 142,96) 33.86 0.62
Overweight 31,8 (-25,33; 88,92) 20.33 0.521
Obese grade I 7,53 (-70,77; 85,83) 27.86 0.999
Obese grade II/III -48,4 (-157,24; 60,43) 38.73 0.722
Overweight Underweight 16,02 (-81,48; 113,52) 34.7 0.991
Normal weight -31,8 (-88,92; 25,33) 20.33 0.521
Obese grade I -24,27 (-105,42; 56,89) 28.88 0.918
Obese grade II/III -80,2 (-191,1; 30,7) 39.47 0.251
Obese grade I Underweight 40,29 (-70,96; 151,53) 39.59 0.847
Normal weight -7,53 (-85,83; 70,77) 27.86 0.999
Overweight 24,27 (-56,89; 105,42) 28.88 0.918
Obese grade II/III -55,93 (-179,09; 67,23) 43.83 0.706
Obese grade II/III Underweight 96,22 (-38,28; 230,71) 47.86 0.261
Normal weight 48,4 (-60,43; 157,24) 38.73 0.722
Overweight 80,2 (-30,7; 191,1) 39.47 0.251
Obese grade I 55,93 (-67,23; 179,09) 43.83 0.706
Basophils Underweight Normal weight -1,16 (-13,03; 10,71) 4.22 0.999
Overweight -9 (-21,16; 3,17) 4.33 0.23
Obese grade I -6,38 (-20,26; 7,5) 4.94 0.697
Obese grade II/III -9,9 (-26,68; 6,88) 5.97 0.46
Normal weight Underweight 1,16 (-10,71; 13,03) 4.22 0.999
Overweight -7,84 (-14,96; -0,71) 2.54 0.017
Obese grade I -5,21 (-14,98; 4,56) 3.48 0.563
Obese grade II/III -8,74 (-22,32; 4,84) 4.83 0.369
Overweight Underweight 9 (-3,17; 21,16) 4.33 0.23
Normal weight 7,84 (0,71; 14,96) 2.54 0.017
Obese grade I 2,62 (-7,5; 12,75) 3.6 0.95
Obese grade II/III -0,9 (-14,74; 12,94) 4.92 1
Obese grade I Underweight 6,38 (-7,5; 20,26) 4.94 0.697
Normal weight 5,21 (-4,56; 14,98) 3.48 0.563
Overweight -2,62 (-12,75; 7,5) 3.6 0.95
Obese grade II/III -3,53 (-18,89; 11,84) 5.47 0.968
Obese grade II/III Underweight 9,9 (-6,88; 26,68) 5.97 0.46
Normal weight 8,74 (-4,84; 22,32) 4.83 0.369
Overweight 0,9 (-12,94; 14,74) 4.92 1
Obese grade I 3,53 (-11,84; 18,89) 5.47 0.968
Eosinophils Underweight Normal weight 42,95 (-17,15; 103,05) 21.39 0.262
Overweight 35,87 (-25,72; 97,46) 21.92 0.474
Obese grade I 54,64 (-15,63; 124,91) 25.01 0.186
Obese grade II/III 69,19 (-15,77; 154,14) 30.23 0.149
Normal weight Underweight -42,95 (-103,05; 17,15) 21.39 0.262
Overweight -7,08 (-43,16; 29,01) 12.84 0.982
Obese grade I 11,68 (-37,78; 61,15) 17.6 0.964
Obese grade II/III 26,23 (-42,52; 94,98) 24.47 0.821
Overweight Underweight -35,87 (-97,46; 25,72) 21.92 0.474
Normal weight 7,08 (-29,01; 43,16) 12.84 0.982
Obese grade I 18,76 (-32,5; 70,03) 18.24 0.842
Obese grade II/III 33,31 (-36,75; 103,37) 24.93 0.669
Obese grade I Underweight -54,64 (-124,91; 15,63) 25.01 0.186
Normal weight -11,68 (-61,15; 37,78) 17.6 0.964
Overweight -18,76 (-70,03; 32,5) 18.24 0.842
Obese grade II/III 14,55 (-63,25; 92,35) 27.68 0.985
Obese grade II/III Underweight -69,19 (-154,14; 15,77) 30.23 0.149
Normal weight -26,23 (-94,98; 42,52) 24.47 0.821
Overweight -33,31 (-103,37; 36,75) 24.93 0.669
Obese grade I -14,55 (-92,35; 63,25) 27.68 0.985
Na Underweight Normal weight 1,47 (-0,28; 3,22) 0.62 0.128
Overweight 0,47 (-1,32; 2,26) 0.64 0.948
Obese grade I 0,2 (-1,86; 2,25) 0.73 0.999
Obese grade II/III 1,04 (-1,43; 3,51) 0.88 0.761
Normal weight Underweight -1,47 (-3,22; 0,28) 0.62 0.128
Overweight -1 (-2,05; 0,05) 0.37 0.056
Obese grade I -1,27 (-2,72; 0,18) 0.52 0.099
Obese grade II/III -0,43 (-2,42; 1,56) 0.71 0.974
Overweight Underweight -0,47 (-2,26; 1,32) 0.64 0.948
Normal weight 1 (-0,05; 2,05) 0.37 0.056
Obese grade I -0,27 (-1,77; 1,23) 0.53 0.987
Obese grade II/III 0,57 (-1,46; 2,6) 0.72 0.934
Obese grade I Underweight -0,2 (-2,25; 1,86) 0.73 0.999
Normal weight 1,27 (-0,18; 2,72) 0.52 0.099
Overweight 0,27 (-1,23; 1,77) 0.53 0.987
Obese grade II/III 0,84 (-1,42; 3,1) 0.81 0.835
Obese grade II/III Underweight -1,04 (-3,51; 1,43) 0.88 0.761
Normal weight 0,43 (-1,56; 2,42) 0.71 0.974
Overweight -0,57 (-2,6; 1,46) 0.72 0.934
Obese grade I -0,84 (-3,1; 1,42) 0.81 0.835
K Underweight Normal weight 0,01 (-0,2; 0,22) 0.08 1
Overweight 0,05 (-0,17; 0,27) 0.08 0.966
Obese grade I 0,11 (-0,14; 0,36) 0.09 0.707
Obese grade II/III -0,03 (-0,33; 0,27) 0.11 0.998
Normal weight Underweight -0,01 (-0,22; 0,2) 0.08 1
Overweight 0,04 (-0,08; 0,17) 0.04 0.881
Obese grade I 0,1 (-0,07; 0,28) 0.06 0.444
Obese grade II/III -0,04 (-0,28; 0,2) 0.09 0.99
Overweight Underweight -0,05 (-0,27; 0,17) 0.08 0.966
Normal weight -0,04 (-0,17; 0,08) 0.04 0.881
Obese grade I 0,06 (-0,12; 0,24) 0.06 0.869
Obese grade II/III -0,08 (-0,33; 0,16) 0.09 0.879
Obese grade I Underweight -0,11 (-0,36; 0,14) 0.09 0.707
Normal weight -0,1 (-0,28; 0,07) 0.06 0.444
Overweight -0,06 (-0,24; 0,12) 0.06 0.869
Obese grade II/III -0,14 (-0,42; 0,13) 0.1 0.569
Obese grade II/III Underweight 0,03 (-0,27; 0,33) 0.11 0.998
Normal weight 0,04 (-0,2; 0,28) 0.09 0.99
Overweight 0,08 (-0,16; 0,33) 0.09 0.879
Obese grade I 0,14 (-0,13; 0,42) 0.1 0.569
C Reactive Protein Underweight Normal weight 5,4 (-11,94; 22,74) 6.17 0.906
Overweight 17,24 (-0,54; 35,02) 6.33 0.051
Obese grade I 24,29 (4,09; 44,49) 7.19 0.007
Obese grade II/III 23,69 (-1,14; 48,52) 8.84 0.057
Normal weight Underweight -5,4 (-22,74; 11,94) 6.17 0.906
Overweight 11,84 (1,49; 22,19) 3.68 0.012
Obese grade I 18,89 (4,79; 33) 5.02 0.002
Obese grade II/III 18,29 (-1,9; 38,48) 7.18 0.081
Overweight Underweight -17,24 (-35,02; 0,54) 6.33 0.051
Normal weight -11,84 (-22,19; -1,49) 3.68 0.012
Obese grade I 7,05 (-7,59; 21,69) 5.21 0.657
Obese grade II/III 6,45 (-14,12; 27,01) 7.32 0.904
Obese grade I Underweight -24,29 (-44,49; -4,09) 7.19 0.007
Normal weight -18,89 (-33; -4,79) 5.02 0.002
Overweight -7,05 (-21,69; 7,59) 5.21 0.657
Obese grade II/III -0,61 (-23,29; 22,08) 8.07 1
Obese grade II/III Underweight -23,69 (-48,52; 1,14) 8.84 0.057
Normal weight -18,29 (-38,48; 1,9) 7.18 0.081
Overweight -6,45 (-27,01; 14,12) 7.32 0.904
Obese grade I 0,61 (-22,08; 23,29) 8.07 1

Bonferroni post hoc analysis was used, after ANOVA, to compare the study variables between each BMI category. In bold are the variables with statistical significance (p < 0.05).

Table 4.

Differences in proportions between each BMI category.

Variables Underweight Normal weight Overweight Obese grade I Obese grade II/III
Gender Female 98a, b (57, 31%) 438b (47, 92%) 356b (50, 86%) 176a, c (64, 71%) 90c (73, 77%)
Male 73a, b (42, 69%) 476b (52, 08%) 344b (49, 14%) 96a, c (35, 29%) 32c (26, 23%)
Admission Diagnosis Cardiovascular 25a, b (14, 62%) 152b (16, 63%) 160a, c (22, 86%) 81c (29, 78%) 34a, c (27, 87%)
Respiratory 13a (7, 6%) 55a (6, 02%) 40a (5, 71%) 13a (4, 78%) 5a (4, 1%)
Neurological Neurological 22a (12, 87%) 171a (18, 71%) 115a (16, 43%) 41a (15, 07%) 11a (9, 02%)
Infectious 57a (33, 33%) 184b (20, 13%) 96c (13, 71%) 30c (11, 03%) 25a, b, c (20, 49%)
Surgical 10a (5, 85%) 141b (15, 43%) 143b, c (20, 43%) 65c (23, 9%) 21b, c (17, 21%)
Other 44a (25, 73%) 211a (23, 09%) 146a (20, 86%) 42a (15, 44%) 26a (21, 31%)
Use of VAD Yes 21a (12, 28%) 86a (9, 41%) 60a (8, 57%) 27a (9, 93%) 7a (5, 74%)
No 150a (87, 72%) 828a (90, 59%) 640a (91, 43%) 245a (90, 07%) 115a (94, 26%)
Use of MV Yes 32a (18, 71%) 157a (17, 18%) 110a (15, 71%) 38a (13, 97%) 10a (8, 2%)
No 139a (81, 29%) 757a (82, 82%) 590a (84, 29%) 234a (86, 03%) 112a (91, 8%)
Congestive Heart Failure Yes 11a (6, 43%) 59a (6, 46%) 44a (6, 29%) 13a (4, 78%) 5a (4, 1%)
No 160a (93, 57%) 855a (93, 54%) 656a (93, 71%) 259a (95, 22%) 117a (95, 9%)
Chronic Renal Failure Yes 17a (9, 94%) 119a (13, 02%) 82a (11, 71%) 26a (9, 56%) 7a (5, 74%)
No 154a (90, 06%) 795a (86, 98%) 618a (88, 29%) 246a (90, 44%) 115a (94, 26%)
Cirrhosis Yes 1a (0, 58%) 9a (0, 98%) 14a (2%) 3a (1, 1%) 1a (0, 82%)
No 170a (99, 42%) 905a (99, 02%) 686a (98%) 269a (98, 9%) 121a (99, 18%)
Cancer Yes 29a, b (16, 96%) 149b (16, 3%) 90a, b (12, 86%) 23a (8, 46%) 11a, b (9, 02%)
No 142a, b (83, 04%) 765b (83, 7%) 610a, b (87, 14%) 249a (91, 54%) 111a, b (90, 98%)
Immunodeficient Yes 2a (1, 17%) 17a (1, 86%) 4a (0, 57%) 3a (1, 1%) 1a (0, 82%)
No 169a (98, 83%) 897a (98, 14%) 696a (99, 43%) 269a (98, 9%) 121a (99, 18%)
Diabetes Mellitus Yes 61a (35, 67%) 315a (34, 46%) 277a (39, 57%) 108a (39, 71%) 56a (45, 9%)
No 110a (64, 33%) 599a (65, 54%) 423a (60, 43%) 164a (60, 29%) 66a (54, 1%)
Coronary Artery Disease Yes 12a, b (7, 02%) 86b (9, 41%) 106a (15, 14%) 23a, b (8, 46%) 14a, b (11, 48%)
No 159a, b (92, 98%) 828b (90, 59%) 594a (84, 86%) 249a, b (91, 54%) 108a, b (88, 52%)
Stroke Yes 41a (23, 98%) 157a, b (17, 18%) 96b (13, 71%) 35b (12, 87%) 11b (9, 02%)
No 130a (76, 02%) 757a, b (82, 82%) 604b (86, 29%) 237b (87, 13%) 111b (90, 98%)
Dementia Yes 29a (16, 96%) 60b (6, 56%) 25b (3, 57%) 7b (2, 57%) 4b (3, 28%)
No 142a (83, 04%) 854b (93, 44%) 675b (96, 43%) 265b (97, 43%) 118b (96, 72%)
Performance status Completely ​independent 113a (66, 08%) 778b (85, 12%) 641c (91, 57%) 245b, c (90, 07%) 109b, c (89, 34%)
Partially ​independent 18a (10, 53%) 65a (7, 11%) 39a (5, 57%) 18a (6, 62%) 8a (6, 56%)
Fully ​dependent 40a (23, 39%) 71b (7, 77%) 20c (2, 86%) 9b, c (3, 31%) 5b, c (4, 1%)
ICU deaths Yes 64a (37, 43%) 172b (18, 82%) 76c (10, 86%) 21c (7, 72%) 10c (8, 2%)
No 107a (62, 57%) 742b (81, 18%) 624c (89, 14%) 251c (92, 28%) 112c (91, 8%)
ICU readmission Yes 20a, b (11, 7%) 105b (11, 49%) 51a (7, 29%) 14a (5, 15%) 10a, b (8, 2%)
No 151a, b (88, 3%) 809b (88, 51%) 649a (92, 71%) 258a (94, 85%) 112a, b (91, 8%)

Z-test with Bonferroni correction of clinical and epidemiological characteristics between BMI groups. In Bold, variables with significant difference (p < 0.05). Each subscript letter denotes a subset whose columns proportions do not differ significantly from each other.

The ability of SAPS3 to predict intra-unit mortality was assessed for each BMI group. Its accuracy was excellent in all groups except in the underweight group, with an AUC of 0.69 (95% CI 0.61–0.77; p < 0.001), reflecting a significantly decreased sensitivity in its performance and Hosmer-Lemeshow goodness of fit test significance of 0.042 (Figure 2). A model including BMI and SAPS3 showed an association of the two variables with mortality, however, with poor goodness-of-fit (Hosmer-Lemeshow p-value: 0.102), suggesting incompleteness of the model (Table 5).

Figure 2.

Figure 2

Performance of SAPS3 Mortality Prediction According to BMI Category. The area under the receiver operating characteristics curve was calculated for each BMI stratum. SAPS3 performance was adequate in all BMI groups except for the underweight group, in which a significantly poor discriminant function was observed. P-value for all curves <0.001.

Table 5.

Binary logistic regression of BMI and SAPS3 association with mortality.

Parameters B S.E. Exp (B) 95% C.I. for EXP(B) P-value
Saps3Points 0,117 0,007 1,124 (1,109–1,14) 0,0001
BMI -0,07 0,014 0,932 (0,908–0,958) 0,0001
Constant -6,036 0,514 0,002

Univariable analysis showed a significantly higher probability of death (OR 3.71; 95% CI 2.65–5.18), for underweight patients, in contrast to overweight, obese, and obese II/III (Figure 3). A binary regression model was performed to assess factors that could confound the assessment of mortality. The highest chance of death persisted in the underweight group, with an OR of 3.50 (95% CI 1.43–8.58, p = 0.006), while the overweight and obese groups were no longer associated with mortality. The need for mechanical ventilation or vasopressors on admission (OR 3.11 [95% CI, 4.90–8.24, p < 0.0001] and OR 2.69 [95% CI, 1.74–4 .18, p < 0.0001], respectively), were the variables that represented the highest independent risk in our model (Figure 3). Greater dependence on performing daily activities was also an independent predictor of mortality in our population (OR: 2.84 [95%CI: 1.76–4.57]). The model presented good fit with a Hosmer-Lemeshow goodness-of-fit p-value of 0.102. No difference was observed between the BMI groups for the use of these supports. Moreover, when evaluated as a continuous variable, the BMI presented statistical significance on both the univariate and multivariate analysis with a decrease of 0.04% in the odds of mortality for each additional 1 kg/m2 (Figure 4).

Figure 3.

Figure 3

Risk assessment model for intra-unit mortality. The white prism represents the OR in the univariate analysis, while the black prism represents the OR after adjustment in the binary logistic regression. The variables that presented statistical significance at the end of the binary logistic regression were represented. CRP (C-reactive protein); K (potassium level); MV (mechanical ventilation); VAD (vasopressor drug).

Figure 4.

Figure 4

Death Probability According to BMI. A modified Kaplan-Meier curve to estimate the probability of death by BMI level. For every 1 additional kg/m2, there is a 0.04% reduction in the probability of death.

4. Discussion

While SAPS3 performed well in the obese, overweight, and normal weight groups, there was a significant lack of accuracy in underweight patients. Similarly, Deliberato et al. demonstrated that the performance of others severity scores was inconsistent across BMI categories [11]. We assume that the clinical differences observed between the groups may impact the performance of the score; therefore, it should be accessed and readjusted.

We found clinically significant differences between the BMI groups in our study that may be compromising SAPS3 predictive performance in patients with low weight. These patients were older and had a higher burden of comorbidities that were independently associated with worse outcomes. Overweight and obese patients had a higher prevalence of diabetes and a lower mean SAPS3 score. The absence of significance between the creatinine values according to BMI groups may be associated with the presence of acute kidney injury at admission in underweight patients, since a lower proportion of lean mass is expected in this group [12]. In earlier studies, even after adjusting for significant comorbidities, low weight showed an association with mortality [13, 14, 15, 16]. However, in the current study, obese and overweight patients showed no protective factors, despite findings on previous research [17, 18, 19].

Studies exploring the effect of BMI on ICU outcomes have reported controversial results. Three meta-analyses have already demonstrated a J-shaped relationship between BMI and mortality, with overweight and moderate obesity being protective when compared to a normal BMI [18, 19]. This remains poorly understood, but some hypotheses are currently being discussed. Obese patients tend to be younger at the time of ICU admission, a population generally at lower risk of mortality [20]. This was evident in our findings with a lower mean age among those with higher BMI. Alternatively, medical staff, anticipating possible risks and complications, may admit obese patients earlier to the ICU in relatively stable condition to initiate aggressive interventions [4]. In support of this hypothesis, obese subjects in our study were admitted with lower SAPS3 and CCI while underweight patients presented higher mean SAPS3 and MFI scores (Table 2), albeit with poor predictive performance. Despite our study was not specifically designed for this purpose, others have suggested that obese individuals have a greater nutritional reserve, thereby offering protection against hypercatabolic states experienced during critical illness as compared to their underweight counterparts [4, 13]. Still, others hypothesize that the adipokine profile in obese patients may modulate and dampen the immunological response to severe acute illness which may be absent in the underweight population [4]. While we did not confirm obesity as a protective factor when adjusting for comorbidities, the mortality risk for underweight critically ill patients found in our study supports prior findings from the developed world [13, 14, 15, 16].

Our study has certain limitations. First, as a single-center study, there may be unmeasured local confounders that could impact the analyses performed. Also, in this study, only variables obtained at admission of patients were considered. The use of BMI as a parameter for obesity diagnosis, while useful at the population level, does not distinguish between lean mass and fat mass, thus being less precise in elderly and muscular individuals [21]. Moreover, BMI may not accurately assess visceral fat, a risk factor for disease independent of total body fat [22]. Future studies using BMI together with accurate methods of assessing body fat are suggested to address this limitation.

5. Conclusion

Overall, the SAPS3 is inaccurate for predicting mortality in critically ill underweight patients, even with this group presenting a greater chance of death. Recalibration of this tool may aid in the clinical management of these patients.

Declarations

Author contribution statement

Isabella B B Ferreira and Rodrigo C Menezes: Conceived and designed the experiments; Performed the experiments; Analyzed and interpreted the data; Wrote the paper.

Kevan M Akrami: Conceived and designed the experiments; Analyzed and interpreted the data; Wrote the paper.

Nivaldo Filgueiras Filho: Conceived and designed the experiments; Contributed reagents, materials, analysis tools or data; Wrote the paper.

Bruno B Andrade: Conceived and designed the experiments; Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data; Wrote the paper.

Matheus L Otero: Performed the experiments; Wrote the paper.

Thomas A Carmo: Performed the experiments; Analyzed and interpreted the data; Wrote the paper.

Gabriel A Agareno, Gabriel P Telles and Bruno V B Fahel: Performed the experiments.

María B Arriaga and Kiyoshi F Fukutani: Analyzed and interpreted the data.

Licurgo Pamplona Neto and Sydney Agareno: Contributed reagents, materials, analysis tools or data.

Funding statement

This work was supported by National Institute of Allergy and Infectious Diseases, National Institutes of Health (Intramural Research Program), USA, Universidade do Estado da Bahia (research fellowship), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (finance code 001) and Fundação de Amparo à Pesquisa do Estado da Bahia (research fellowship), Brazil. Bruno Andrade is a senior scientist from the Brazilian National Council for Scientific and Technological Development (CNPq), Brazil. The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.

Data availability statement

Data will be made available on request.

Declaration of interests statement

The authors declare no conflict of interest.

Additional information

No additional information is available for this paper.

Acknowledgements

The authors thank those who contributed directly or indirectly to the construction of this article, research groups GEMINI, linked to the Núcleo de Ensino e Pesquisa do Hospital da Cidade, and MONSTER, linked to the Osvaldo Cruz Foundation.

References

  • 1.Haniffa R., Isaam I., De Silva A.P., Dondorp A.M., De Keizer N.F. Performance of critical care prognostic scoring systems in low and middle-income countries: a systematic review. Crit. Care. 2018 Dec 26;22(1):18. doi: 10.1186/s13054-017-1930-8. https://ccforum.biomedcentral.com/articles/10.1186/s13054-017-1930-8 [Internet]; Available from: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.World Health Organization . Fact Sheets; 2018. Obesity and Overweigh.https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight [Internet]; Available from: [Google Scholar]
  • 3.Saúde M da. G. Estatística e Informação em Saúde; 2019. Vigitel Brasil 2018: Vigilância de fatores de risco e proteção para doenças crônicas por inquerito telefônico; p. 131.http://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2011_fatores_risco_doencas_cronicas.pdf [Internet]; Available from: [Google Scholar]
  • 4.Marques M.B., Langouche L. Endocrine, metabolic, and morphologic alterations of adipose tissue during critical illness. Crit. Care Med. 2013 Jan;41(1):317–325. doi: 10.1097/CCM.0b013e318265f21c. http://journals.lww.com/00003246-201301000-00031 [Internet]; Available from: [DOI] [PubMed] [Google Scholar]
  • 5.Popkin B.M., Corvalan C., Grummer-Strawn L.M. Dynamics of the double burden of malnutrition and the changing nutrition reality. Lancet. 2020 Jan;395(10217):65–74. doi: 10.1016/S0140-6736(19)32497-3. https://linkinghub.elsevier.com/retrieve/pii/S0140673619324973 [Internet]; Available from: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wells J.C., Sawaya A.L., Wibaek R., Mwangome M., Poullas M.S., Yajnik C.S., et al. The double burden of malnutrition: aetiological pathways and consequences for health. Lancet. 2020;395(10217):75–88. doi: 10.1016/S0140-6736(19)32472-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Nagai M., Kuriyama S., Kakizaki M., Ohmori-Matsuda K., Sone T., Hozawa A., et al. Impact of obesity, overweight and underweight on life expectancy and lifetime medical expenditures: the Ohsaki Cohort Study. BMJ Open. 2012 May;2(3) doi: 10.1136/bmjopen-2012-000940. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Metnitz P.G.H., Moreno R.P., Almeida E., Jordan B., Bauer P., Campos R.A., et al. SAPS 3—from evaluation of the patient to evaluation of the intensive care unit. Part 1: objectives, methods and cohort description. Intensive Care Med. 2005 Oct 17;31(10):1336–1344. doi: 10.1007/s00134-005-2762-6. http://link.springer.com/10.1007/s00134-005-2762-6 [Internet]; Available from: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Farhat J.S., Velanovich V., Falvo A.J., Horst H.M., Swartz A., Patton J.H., et al. Are the frail destined to fail? Frailty index as predictor of surgical morbidity and mortality in the elderly. J. Trauma Acute Care Surg. 2012 Jun;72(6):1526–1531. doi: 10.1097/TA.0b013e3182542fab. [DOI] [PubMed] [Google Scholar]
  • 10.Charlson M.E., Pompei P., Ales K.L., MacKenzie C.R. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J. Chron. Dis. 1987;40(5):373–383. doi: 10.1016/0021-9681(87)90171-8. [DOI] [PubMed] [Google Scholar]
  • 11.Deliberato R.O., Ko S., Komorowski M., Armengol de La Hoz M.A., Frushicheva M.P., Raffa J.D., et al. Severity of illness scores may misclassify critically ill obese patients. Crit. Care Med. 2018 Mar;46(3):394–400. doi: 10.1097/CCM.0000000000002868. [DOI] [PubMed] [Google Scholar]
  • 12.Baxmann A.C., Ahmed M.S., Marques N.C., Menon V.B., Pereira A.B., Kirsztajn G.M., et al. Influence of muscle mass and physical activity on serum and urinary creatinine and serum cystatin C. Clin. J. Am. Soc. Nephrol. 2008 Mar;3(2):348–354. doi: 10.2215/CJN.02870707. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Zampieri F.G., Colombari F. A gradient-boosted model analysis of the impact of body mass index on the short-term outcomes of critically ill medical patients. Rev Bras Ter Intensiva. 2015;27(2):141–148. doi: 10.5935/0103-507X.20150025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Sakr Y., Elia C., Mascia L., Barberis B., Cardellino S., Livigni S., et al. Being overweight or obese is associated with decreased mortality in critically ill patients: a retrospective analysis of a large regional Italian multicenter cohort. J. Crit. Care. 2012;27(6):714–721. doi: 10.1016/j.jcrc.2012.08.013. [DOI] [PubMed] [Google Scholar]
  • 15.Toft-Petersen A.P., Wulff J., Harrison D.A., Ostermann M., Margarson M., Rowan K.M., et al. Exploring the impact of using measured or estimated values for height and weight on the relationship between BMI and acute hospital mortality. J. Crit. Care. 2018;44:196–202. doi: 10.1016/j.jcrc.2017.11.021. [DOI] [PubMed] [Google Scholar]
  • 16.Harris K., Zhou J., Liu X., Hassan E., Badawi O. The obesity paradox is not observed in critically ill patients on early enteral nutrition. Crit. Care Med. 2017 May;45(5):828–834. doi: 10.1097/CCM.0000000000002326. [DOI] [PubMed] [Google Scholar]
  • 17.Khalooeifard R., Djafarian K., Safabakhsh M., Rahmani J., Shab-Bidar S. Dose-response meta-analysis of the impact of body mass index on mortality in the intensive care unit. Nutr. Clin. Pract. 2020 Mar doi: 10.1002/ncp.10473. ncp.10473. [DOI] [PubMed] [Google Scholar]
  • 18.Akinnusi M.E., Pineda L.A., El Solh A.A. Effect of obesity on intensive care morbidity and mortality: a meta-analysis. Crit. Care Med. [Internet] 2008 Jan;36(1):151–158. doi: 10.1097/01.CCM.0000297885.60037.6E. http://journals.lww.com/00003246-200801000-00020 Available from: [DOI] [PubMed] [Google Scholar]
  • 19.Oliveros H., Villamor E. Obesity and mortality in critically ill adults: a systematic review and meta-analysis. Obesity. 2008 Mar 17;16(3):515–521. doi: 10.1038/oby.2007.102. [Internet] [DOI] [PubMed] [Google Scholar]
  • 20.Amundson D.E., Djurkovic S., Matwiyoff G.N. The obesity paradox. Crit. Care Clin. 2010 Oct;26(4):583–596. doi: 10.1016/j.ccc.2010.06.004. [DOI] [PubMed] [Google Scholar]
  • 21.Winfield R.D. Caring for the critically ill obese patient. Nutr. Clin. Pract. 2014;29(6):747–750. doi: 10.1177/0884533614553234. [DOI] [PubMed] [Google Scholar]
  • 22.Paolini J.-B.M., Mancini J., Genestal M., Gonzalez H., McKay R.E., Samii K., et al. Predictive value of abdominal obesity vs. body mass index for determining risk of intensive care unit mortality. Crit. Care Med. 2010 May;38(5):1308–1314. doi: 10.1097/CCM.0b013e3181d8cd8b. [DOI] [PubMed] [Google Scholar]

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This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data will be made available on request.


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