The Relationship Among Obesity, Nutritional Status, and Mortality in the Critically Ill*:

Correlation between marital status and the prognosis of older patients with cerebrovascular disease in intensive care units: A retrospective cohort study

Background and Aims

Marital status has been shown to be associated with mortality, but evidence in critically ill elder intensive care unit (ICU) patients with cerebrovascular diseases (CeVD) is limited. This study was to explore the correlation between marital status and the prognosis of patients with CeVD aged 65 years and over in the ICU.

Methods

In the present study, 3564 patients were enrolled in the Medical Information Mart for Intensive Care IV database (version 2.2). Patients were divided into four groups based on marital status: married, single, divorced, and widowed. The primary outcome was all-cause mortality as patients were followed up for 3-, 6-, 9-, and 12-month. All-cause mortality risk for patients with different marital status was compared. Univariate and multivariable logistic regression analyses, survival curves and stratified analyses were performed to determine the correlation between marital status and mortality in critically ill patients with CeVD aged ≥65 years.

Results

Of the patients, 51.2% (1825/3564) were married, followed by 23.8% (847/3564) were widowed, 18.2% (647/3564) were single, and 6.9% (245/3567) were divorced. Compared with the married, the unmarried had a higher proportion of female (p < 0.001), older (p < 0.001), and less proportion of mechanical ventilation (p = 0.045). Multivariate analyses showed that no differences were observed for mortality risk among different marital statuses (p > 0.05), while at late follow-up, widowed had a significance higher mortality risk than the married (9-month: odds ratio [OR]: 1.30, 95% confidence interval [CI]: 1.05-1.61, p = 0.02; 12-month: OR: 1.38, 95% CI: 1.12-1.71, p = 0.003). Stratified analyses indicated a stable correlation between marital status and 12-month mortality rate in sub-analysis for gender (p = 0.46) and age (p = 0.35).

Conclusion

Marital status is associated with long-term prognosis in older patients with CeVD admitted to ICU. Widowed people should receive more societal attention irrespective of sex or age.

Prognosis of patients with coexisting obesity and malnutrition after ischemic stroke: A cohort study

BACKGROUND

The double burden of malnutrition, defined as the coexistence of obesity and malnutrition, is an increasing global health concern and is unclear in patients after ischemic stroke. The current study explored the combined impacts of obesity and malnutrition on patients with ischemic stroke.

METHODS

We conducted a single-center prospective cohort study with patients with ischemic stroke enrolled in Minhang Hospital in China between January 2018 and December 2022. Patients were stratified into four categories based on their obesity (defined by body mass index) and nutritional status (classified according to the Controlling Nutritional Status score): (1) nourished nonobese, (2) malnourished nonobese, (3) nourished obese, and (4) malnourished obese. The primary end points were poor outcomes and all-cause mortality at 3 months.

RESULTS

A total of 3160 participants with ischemic stroke were included in our study, of which 64.7% were male and the mean age was 69 years. Over 50% of patients were malnourished. At 3-month follow-up, the malnourished nonobese had the worst outcomes (34.4%), followed by the malnourished obese (33.2%), nourished nonobese (25.1%), and nourished obese (21.8%; P < 0.001). In multivariable analyses, with nourished nonobese group as the reference, the malnourished nonobese group displayed poorer outcomes (odds ratio [OR], 1.395 [95% CI, 1.169-1.664], P < 0.001) and higher all-cause mortality (OR, 1.541 [95% CI, 1.054-2.253], P = 0.026), but only a nonsignificant increase in poor prognosis rate (33.2% vs. 25.1%, P = 0.102) and mortality (4.2% vs. 3.6%, P = 0.902) were observed in the malnourished obese group.

CONCLUSION

A high prevalence of malnutrition is observed in the large population suffering from ischemic attack, even in the obese. Malnourished patients have the worst prognosis particularly in those with severe nutritional status regardless of obesity, while the best functional outcomes and the lowest mortality are demonstrated in nourished obese participants.

Prognostic value of metabolic syndrome in patients with heart failure and malnutrition

BACKGROUND

Malnutrition is severely associated with worst prognosis of patients with heart failure (HF). Malnourished patients with the metabolic syndrome (MS) can result in a double burden of malnutrition. We aimed to investigate the impact of the MS on clinical outcomes in malnourished HF patients.

METHODS

We examined 529 HF patients at risk of malnutrition with a mean age of (66 ± 10) years and 78% (415) were male. Nutritional status defined primarily by the prognostic nutritional index (PNI), with PNI < 40 being defined as malnutrition. The follow-up endpoint was cardiovascular death or all-cause death.

RESULTS

During the 36-month follow-up, survival rates for cardiovascular and all-cause death were significantly lower in the MS group than in the non-MS group (log-rank P < 0.01). Multivariate Cox proportional hazards regression models showed that MS was independently associated with cardiovascular death (HR:1.759, 95%CI:1.351-2.291, p < 0.001) and all-cause death (HR:1.326, 95%CI:1.041-1.689, p = 0.022) in malnourished patients with HF. MS significantly increased the predictive value of cardiovascular death (AUC:0.669, 95%CI:0.623-0.715, p < 0.001) and all-cause death (AUC:0.636, 95%CI:0.585-0.687, p < 0.001) on the basis of established risk factors. The predictive effect of MS on cardiovascular death was independent of sex, age, functional class and left ventricular ejection fraction.

CONCLUSIONS

In malnourished patients with HF, MS is an independent risk factor for cardiovascular and all-cause mortality. MS significantly enhance the predictive value for clinical events in patients.

Factors Associated with Nutritional Risk Assessment in Critically Ill Patients Using the Malnutrition Universal Screening Tool (MUST)

Background: Malnutrition is an underdiagnosed condition that negatively affects the clinical outcomes of patients, being associated with an increased risk of adverse events, increased hospital stay, and higher mortality. Therefore, nutritional assessment is a required and necessary process in patient care. The objective of this study was to identify the factors associated with nutritional risk by applying the Malnutrition Universal Screening Tool (MUST) scale in a population of critically ill patients. Methods: This was an observational, analytical, and retrospective study. Sociodemographic, clinical, hematological, and biochemical variables and their relationship with nutritional risk and mortality were analyzed. Results: Of 630 patients, the leading cause of admission was pathologies of the circulatory and respiratory system (50%); 28.4% were at high nutritional risk; and mortality was 11.6% and associated with nutritional risk, hemoglobin, and plasma urea nitrogen. Conclusions: The presence of gastrointestinal symptoms and the type of nutritional support received during hospitalization could increase the likelihood of presenting a medium/high nutritional risk, while polycythemia reduced this probability. An associative model was found to determine nutritional risk with an adequate specificity and diagnostic validity index.

Nutritional Laboratory Studies Prior to Total Knee Arthroplasty: Practice Versus Publication

BACKGROUND

Recent emphasis has been placed on nutritional status assessment prior to total knee arthroplasty (TKA), including multiple American Academy of Orthopaedic Surgeons publications recommending specific laboratory studies; however, the frequency with which surgeons obtain these laboratory studies remains unclear. We sought to assess the incidence of ordering nutritional laboratory studies in the 90 days prior to TKA, utilizing data from a large administrative claims database.

METHODS

With use of the PearlDiver database, we identified 557,670 patients undergoing primary TKA from 2011 to 2020 with a metabolic panel or blood cell count claim within 90 days prior to TKA. We then determined the incidence of prealbumin, transferrin, vitamin D, and zinc laboratory tests claimed 90 days prior to TKA. Associations between claims and the year of surgery, patient demographics, and clinical characteristics were assessed by comparing proportions and chi-square testing.

RESULTS

Nutritional laboratory studies were infrequently claimed within 90 days prior to TKA, with studies for prealbumin being performed in 2.2% of patients; transferrin, 1.9%; vitamin D, 10.2%; and zinc, 0.2%. From 2011 to 2020, there was a moderate but steady increase in the proportion of patients with claims for prealbumin (change from 0.8% in 2011 to 3.4% in 2020; p < 0.001), transferrin (0.8% to 2.7%; p < 0.001), and vitamin D (7.6% to 9.4%; p < 0.001) laboratory tests but there was less of a change for zinc (0.1% to 0.2%; p < 0.001). There were weak-to-absent associations of age, gender, obesity, diabetes, and anemia with laboratory claims.

CONCLUSIONS

Despite multiple publications and recommendations, nutritional laboratory studies are infrequently ordered prior to TKA. Although there has been a slight increase in the use of nutritional laboratory studies over the past decade, patient factors such as gender and obesity were not associated with this increase. Understanding current practice patterns may help target future areas for improvement.

LEVEL OF EVIDENCE

Diagnostic Level III . See Instructions for Authors for a complete description of levels of evidence.

Maternal consumption of a high-fat diet modulates the inflammatory response in their offspring, mediated by the M1 muscarinic receptor

Introduction

High-fat diet (HFD) consumption is associated with various metabolic disorders and diseases. Both pre-pregnancy and maternal obesity can have long-term consequences on offspring health. Furthermore, consuming an HFD in adulthood significantly increases the risk of obesity and metabolic disorders. However, an intriguing phenomenon known as the obesity paradox suggests that obesity may confer a protective effect on mortality outcomes in sepsis. In sepsis, activation of the cholinergic anti-inflammatory pathway (CAP) can help mitigate systemic inflammation. We employed a metabolic programming model to explore the relationship between maternal HFD consumption and offspring response to sepsis.

Methods

We fed female mice either a standard diet (SC) or an HFD during the pre-pregnancy, pregnancy, and lactation periods. Subsequently, we evaluated 28-day-old male offspring.

Results

Notably, we discovered that offspring from HFD-fed dams (HFD-O) exhibited a higher survival rate compared with offspring from SC-fed dams (SC-O). Importantly, inhibition of the m1 muscarinic acetylcholine receptor (m1mAChR), involved in the CAP, in the hypothalamus abolished this protection. The expression of m1mAChR in the hypothalamus was higher in HFD-O at different ages, peaking on day 28. Treatment with an m1mAChR agonist could modulate the inflammatory response in peripheral tissues. Specifically, CAP activation was greater in the liver of HFD-O following agonist treatment. Interestingly, lipopolysaccharide (LPS) challenge failed to induce a more inflammatory state in HFD-O, in contrast to SC-O, and agonist treatment had no additional effect. Analysis of spleen immune cells revealed a distinct phenotype in HFD-O, characterized by elevated levels of CD4+ lymphocytes rather than CD8+ lymphocytes. Moreover, basal Il17 messenger RNA (mRNA) levels were lower while Il22 mRNA levels were higher in HFD-O, and we observed the same pattern after LPS challenge.

Discussion

Further examination of myeloid cells isolated from bone marrow and allowed to differentiate showed that HFD-O macrophages displayed an anti-inflammatory phenotype. Additionally, treatment with the m1mAChR agonist contributed to reducing inflammatory marker levels in both groups. In summary, our findings demonstrate that HFD-O are protected against LPS-induced sepsis, and this protection is mediated by the central m1mAChR. Moreover, the inflammatory response in the liver, spleen, and bone marrow-differentiated macrophages is diminished. However, more extensive analysis is necessary to elucidate the specific mechanisms by which m1mAChR modulates the immune response during sepsis.

Prior Evaluation of Nutritional Status and Mortality in Patients with Sepsis in South Korea

Our objective was to determine whether nutritional status correlates with mortality in sepsis patients. Data from a nationwide registration database were utilized for this population-based cohort study. The study subjects comprised adults who received standard health examinations before being admitted to the hospital for sepsis and were diagnosed with sepsis between 2018 and 2020. Nutrition scores were evaluated using the Nutritional Lifestyle Assessment Tool in South Korea. Overall, 2482 patients with sepsis were included in this study. The 90-day and 1-year mortality rates in patients with sepsis were 26.8% (664/2482) and 34.2% (848/2482), respectively. In the covariate-adjusted multivariable logistic regression model, a 1-point increase in nutrition score was associated with a decrease in 90-day mortality in patients with sepsis (odds ratio [OR]: 0.98, 95% confidence interval [CI]: 0.97, 0.98; p = 0.025). In the covariate-adjusted multivariable Cox regression model, a 1-point increase in nutrition score was associated with a decrease in 1-year mortality in patients with sepsis (hazard ratio [H.R.]: 0.99, 95% CI: 0.98, 0.99; p = 0.035). Our results suggest that adequate dietary intake and healthy eating habits might protect against mortality among sepsis patients.

Continuous Renal Replacement Therapy and Mortality in Critically Ill Obese Adults

IMPORTANCE

The outcomes of critically ill adults with obesity on continuous renal replacement therapy (CRRT) are poorly characterized. The impact of CRRT dose on these outcomes is uncertain.

OBJECTIVES

This study aimed to determine if obesity conferred a survival advantage for critically ill adults with acute kidney injury (AKI) on CRRT. Secondarily, we evaluated whether the dose of CRRT predicted mortality in this population.

DESIGN SETTING AND PARTICIPANTS

A retrospective, observational cohort study performed at an academic medical center in Minnesota. The study population included critically ill adults with AKI managed with CRRT.

MAIN OUTCOMES AND MEASURES

The primary outcome of 30-day mortality was compared between obese (body mass index [BMI] ≥ 30 kg/m2) and nonobese (BMI < 30 kg/m2) patients. Multivariable regression assessed was used to assess CRRT dose as a predictor of outcomes. An analysis included dose indexed according to actual body weight (ABW), adjusted body weight (AdjBW), or ideal body weight (IBW).

RESULTS

Among 1033 included patients, the median (interquartile range) BMI was 26 kg/m2 (23-28 kg/m2) in the nonobese group and 36 kg/m2 (32-41 kg/m2) in the obese group. Mortality was similar between groups at 30 days (54% vs. 48%; p = 0.06) but lower in the obese group at 90 days (62% vs. 55%; p = 0.02). CRRT dose predicted an increase in mortality when indexed according to ABW or AdjBW (hazard ratio [HR], 1.2-1.16) but not IBW (HR, 1.04).

CONCLUSIONS AND RELEVANCE

In critically ill adults with AKI requiring CRRT, short-term mortality appeared lower in obese patients compared with nonobese patients. Among weight calculations, IBW appears to be preferred to promote safe CRRT dosing in obese patients.

The paradox of obesity in pressure ulcers of critically ill patients

The relationship between body mass index and pressure ulcers in critically ill patients is controversial. We aimed to investigate the association between body mass index and pressure ulcers by analysing data from the Medical Information Mart for Intensive Care IV (version 2.0) database. Eligible data (21 835 cases) were extracted from the database (2008-2019). The association between body mass index and pressure ulcers in critically ill patients was investigated by adjusting multivariate trend analysis, restricted cubic spline analysis, and segmented linear models. Subgroup analyses and sensitivity analyses were used to ensure the stability of the results. Trend analysis and restricted cubic spline analysis showed an approximate U-shaped correlation between body mass index and the occurrence of pressure ulcers in critically ill patients, with the risk of pressure ulcers decreasing rapidly with increasing body mass index (8.6% decrease per unit) after adjusting for relevant factors; the trend reached its minimum at a body mass index of 27.5 kg/m2, followed by a slow increase in the risk of pressure ulcers with increasing body mass index (1.4% increase per unit). Among the subgroups, the highest overall risk of pressure ulcers and the risk of severe pressure ulcers were significantly higher in the underweight group than in the other subgroups, and the risk associated with the overweight group was the lowest. There is a U-shaped association between body mass index and pressure ulcers in critically ill patients, and being underweight and obese both increase the risk of pressure ulcers. The risk is highest among underweight patients and lowest among overweight patients (but not patients of normal weight), necessitating targeted prevention strategies for critically ill patients with different body mass indexes.

Cardiovascular disease risk among hypertensive patients and associated determinants in Addis Ababa, Ethiopia: an institutional-based cross-sectional study

OBJECTIVE

The aim of this study was to assess the level of cardiovascular disease (CVD) risk and associated factors among hypertensive patients having follow-up at selected hospitals in Addis Ababa, Ethiopia, in 2022.

SETTING

A hospital-based cross-sectional study was conducted in public and tertiary hospitals in Addis Ababa, Ethiopia, from 15 January 2022 to 30 July 2022.

PARTICIPANTS

A total of 326 adult hypertensive patients who visited the chronic diseases clinic for follow-up were included in the study.

PRIMARY AND SECONDARY OUTCOME MEASURES

A high predicted 10-year CVD risk level was assessed using an interviewer-administered questionnaire and physical measurement (primary data) and reviews of medical data records (secondary data) by using a non-laboratory WHO risk prediction chart. Logistic regression with an adjusted OR (AOR) using a 95% CI was calculated for independent variables associated with 10-year CVD risk.

RESULTS

The prevalence of a high predicted 10-year CVD risk level was 28.2% (95% CI 10.34% to 33.2%) among the study participants. A higher CVD risk level was found to be associated with age (AOR 4.2 for age 64-74, 95% CI 1.67 to 10.66), being male (AOR 2.1, 95% CI 1.18, 3.67), unemployment (AOR 3.2, 95% CI 1.06 to 6.25) and stage 2 systolic blood pressure (AOR 11.32; 95% CI 3.43 to 37.46).

CONCLUSION

The study showed that the respondent's age, gender, occupation and high systolic blood pressure were determinant factors for CVD risks. Therefore, routine screening for the presence of CVD risk factors and assessment of CVD risk are recommended for hypertensive patients for CVD risk reduction.

Effects of obesity on short-term mortality in patients with acute heart failure under different nutritional status

BACKGROUND

Increased body mass index (BMI) is associated with better survival in patients with acute heart failure (AHF), which is a paradoxical phenomenon. However, it is unclear whether different nutritional status affects this association.

METHODS

1325 patients with AHF from the Medical Information Mart for Intensive Care III database were retrospectively included. Nutritional status was assessed by serum albumin (SA) and prognostic nutritional index (PNI). Patients were divided into High-SA (≥ 3.5 g/dL) and Low-SA groups (< 3.5 g/dL), and they also were divided into High-PNI (≥ 38) and Low-PNI groups (< 38). Propensity-score matching (PSM) was used to control for the effect of baseline confounding factors, multifactor regression model was adopted to assess the association of nutritional status, BMI, and outcomes in AHF patients.

RESULTS

Of the 1325 patients (mean age 72.4 ± 13.1 years), 52.1% (n = 690) were male, 13.1% (n = 173) died in hospital and 23.5% (n = 311) died within 90 days. Before PSM, after adjusting for potential confounders, in the High-SA population, compared with the under/normal BMI group, overweight and obesity were negatively correlated with 90-day mortality, with adjusted hazard ratios (HR) of 0.47, 95% confidence interval (CI) (0.30-0.74), P = 0.001; HR 0.45, 95%CI (0.28-0.72), P = 0.001, respectively. However, this correlation was much attenuated in the Low-SA group (overweight BMI: HR 1.06, 95%CI 0.75-1.50, P = 0.744; obese BMI: HR 0.86, 95%CI 0.59-1.24, P = 0.413). After PSM, those who were overweight or obese in the High-SA group had a 50-58% reduction in 90-day risk of death, while the protective effect disappeared in the Low-SA group (HR 1.09, 95% CI 0.70-1.71; HR 1.02, 95%CI 0.66 - 0.59). Similarly, results were similar in analyses using PNI as a nutritional assessment criterion.

CONCLUSION

Overweight or Obesity was associated with lower short-term mortality in well-nourished AHF patients, whereas this association was significantly attenuated or even disappeared in malnourished patients. Therefore, further research is needed for weight loss recommendations for malnourished obese patients with AHF.

Impact of Malnutrition on Clinical Outcomes of Acutely Hospitalised Heart Failure Patients at Two Tertiary Hospitals in Australia: An Observational Study

BACKGROUND

Malnutrition is common in patients with heart failure (HF) but is often neglected, despite guidelines suggesting that all hospitalised patients should undergo nutritional screening within 24-hours of admission.

AIMS

This study investigated the nutritional screening rates and determined the immediate and long-term clinical outcomes in patients with HF admitted at two tertiary hospitals in Australia.

METHODS

Nutritional screening was assessed by the Malnutrition Universal Screening Tool (MUST) completion rates. Patients were classified into two categories based on their MUST scores (0=low malnutrition risk and ≥1=at risk of malnutrition). Propensity-score-matching (PSM) was used to match 20 variables depending upon the risk of malnutrition. Clinical outcomes included the days-alive-and-out-of-hospital at 90 days of discharge (DAOH90), length of hospital stay, in-hospital, 30-day and 180-day mortality and 30-day readmissions.

RESULTS

There were 5,734 HF admissions between 2013-2020, of whom, only 789 (13.8%) patients underwent MUST screening. The mean (SD) age was 76.2 (14.0) years and 51.9% were males. Five-hundred and fifty-four (554) (70.2%) patients were at low malnutrition risk and 235 (29.8%) at risk of malnutrition. In HF patients, who were at risk of malnutrition, the DAOH90 were lower by 5.9 days (95% CI -11.49 to -0.42, p=0.035) and 180-day mortality was significantly worse (coefficient 0.10, 95% CI 0.02-0.18, p=0.007) compared to those who were at low risk of malnutrition. However, other clinical outcomes were similar between the two groups.

CONCLUSION

Nutrition screening is poor in hospitalised HF patients and long-term but not short-term clinical outcomes were worse in malnourished HF patients.

Obesity, malnutrition, and the prevalence and outcome of hypertension: Evidence from the National Health and Nutrition Examination Survey

Background

Nutritionally unhealthy obesity is a newly introduced phenotype characterized by a combined condition of malnutrition and obesity. This study aims to explore the combined influence of obesity and nutritional status on the prevalence and outcome of hypertension.

Methods

Participants collected from the National Health and Nutrition Examination Survey (NHANES) database were divided into four subgroups according to their obesity and nutritional conditions, as defined by waist circumference and serum albumin concentration. The lean-well-nourished was set as the reference group. Logistic regression models were applied to evaluate the hypertension risk. Kaplan-Meier analysis and Cox proportional hazard regression models were used to assess the survival curve and outcome risk of participants with hypertension.

Results

A total of 28,554 participants with 10,625 hypertension patients were included in the analysis. The lean-malnourished group showed a lower hypertension risk (odds ratio [OR] 0.85, 95% confidence interval [CI]: 0.77-0.94), while the obese-well-nourished condition elevated the risk (OR 1.47, 95% CI: 1.3-1.67). Two malnourished groups had higher mortality risks (HR 1.42, 95% CI: 1.12-1.80 and HR 1.31, 95% CI: 1.03-1.69 for the lean and obese, respectively) than the reference group. The outcome risk of the obese-well-nourished group (HR 1.02, 95% CI: 0.76-1.36) was similar to the lean-well-nourished.

Conclusion

Malnutrition was associated with a lower risk of developing hypertension in both lean and obese participants, but it was associated with a worse outcome once the hypertension is present. The lean-malnourished hypertension patients had the highest all-cause mortality risk followed by the obese-malnourished. The obese-well-nourished hypertension patients showed a similar mortality risk to the lean-well-nourished hypertension patients.

[Malnutrition management of hospitalized patients with diabetes/hyperglycemia and concurrent pathologies]

Introduction

Type 2 diabetes mellitus is a highly prevalent disease worldwide, generating an increasing clinical and economic burden due to its micro- and macrovascular complications. Frequently, people with diabetes are hospitalized for various pathologies. These patients generally have higher risk of complications, prolonged hospitalizations and mortality. An additional factor that worsens the prognosis in these patients is the concurrence of malnutrition, especially in elderly people. All this makes the management of these patients challenging and requires a specific nutritional approach, whose purpose is to cover the nutritional requirements while always maintaining glycemic control. The purpose of this work is to provide, based on the evidence available in the literature and clinical experience, consensus recommendations by eighteen experts in Endocrinology and Nutrition on the nutritional approach of hospitalized patients with diabetes/ hyperglycemia and compare the optimal management, based on these recommendations with bedside usual care according to a panel of Spanish doctors surveyed about their daily clinical practice. This first article of this extraordinary issue of the journal Nutrición Hospitalaria describes the methodology of the study and the results obtained regarding common issues for all pathologies.

Impact of nutrition status and body mass index on mortality in hospitalized general medical patients: A prospective observational study

BACKGROUND

Malnutrition and low body mass index (BMI) are risk factors for mortality in hospitalized patients. Data substantiating this are unavailable for hospitalized general medical patients in our setting. We studied the prevalence of malnutrition among patients admitted to general medical wards in a tertiary care hospital and its role as a risk factor for 1-month mortality. We also investigated the association of BMI with mortality.

METHODS

In this prospective observational study, nutrition assessment using Subjective Global Assessment (SGA) and anthropometric measurements was performed in 395 hospitalized general medical patients. Charlson Comorbidity Index (CCI) and Modified Early Warning System (MEWS) score were calculated. Clinical course and vital status at 1 month after discharge was noted. Factors associated with mortality were identified using logistic regression.

RESULTS

The mean age of the study population was 46.2 + 16.1 years; 247 (62.5%) were males. Of 395 patients, 129 (32.7%) belonged to SGA A, 155 (39.2%) to SGA B, and 111 (28.1%) to SGA C. Mean (±SD) BMI was 23.38 (±5.33); 141 (35.6%) were obese. Mortality was observed in 61 (15.4%) patients. Patients in the lowest BMI quartile had the lowest mortality. The adjusted regression analysis showed that higher age and MEWS scores were independently associated with mortality. Severe malnourishment (SGA C) was another important predictor. Further, the odds of death increased consistently across the consecutive BMI quartiles.

CONCLUSION

Higher age, higher MEWS scores, severe malnourishment, and higher BMI scores were independent risk factors for 1-month mortality in hospitalized general medical patients.

Nutritional status and out-of-hospital mortality in vascular surgery patients

Background

Malnutrition is often present in vascular surgery patient during hospital admission. The present evidence of the consequence malnutrition has on morbidity and mortality is limited.

Aim

The purpose of this study was to determine the effect of nutritional status on out-of-hospital mortality in vascular surgery patients.

Methods

An observational cohort study was performed, studying non-cardiac vascular surgery patients surviving hospital admission 18 years or older treated in Boston, Massachusetts, USA. The exposure of interest was nutritional status categorized as well nourished, at-risk for malnutrition, nonspecific malnutrition or protein-energy malnutrition. The all cause 90-day mortality following hospital discharge was the primary outcome. Adjusted odds ratios were estimated by multivariable logistic regression models.

Results

This cohort included 4432 patients comprised of 48% women and a mean age 61.7 years. After evaluation by a registered dietitian, 3819 patients were determined to be well nourished, 215 patients were at-risk for malnutrition, 351 had non-specific malnutrition and 47 patients had protein-energy malnutrition. After adjustment for age, sex, ethnicity, medical versus surgical Diagnosis Related Group type, Deyo-Charlson index, length of stay, and vascular Current Procedural Terminology code category, the 90-day post-discharge mortality odds ratio for patients with non-specific malnutrition OR 1.96 (95%CI 1.21, 3.17) and for protein-energy malnutrition OR 3.58 (95%CI 1.59, 8.06), all relative to patients without malnutrition.

Discussion

Nutritional status is a strong predictor of out-of-hospital mortality. This suggests that patient with vascular disease suffering from malnutrition could benefit from more intensified In-hospital and out-of-hospital dietary guidance and interventions.

Nutrition priorities in obese critically ill patients

PURPOSE OF REVIEW

During critical illness, several neuroendocrine, inflammatory, immune, adipokine, and gastrointestinal tract hormone pathways are activated; some of which are more intensified among obese compared with nonobese patients. Nutrition support may mitigate some of these effects. Nutrition priorities in obese critically ill patients include screening for nutritional risk, estimation of energy and protein requirement, and provision of macronutrients and micronutrients.

RECENT FINDINGS

Estimation of energy requirement in obese critically ill patients is challenging because of variations in body composition among obese patients and absence of reliable predictive equations for energy expenditure. Whereas hypocaloric nutrition with high protein has been advocated in obese critically ill patients, supporting data are scarce. Recent studies did not show differences in outcomes between hypocaloric and eucaloric nutrition, except for better glycemic control. Sarcopenia is common among obese patients, and the provision of increased protein intake has been suggested to mitigate catabolic changes especially after the acute phase of critical illness. However, high-quality data on high protein intake in these patients are lacking. Micronutrient deficiencies among obese critically ill patients are common but the role of their routine supplementation requires further study.

SUMMARY

An individualized approach for nutritional support may be needed for obese critically ill patients but high-quality evidence is lacking. Future studies should focus on nutrition priorities in this population, with efficient and adequately powered studies.

Prognostic nutrition index is associated with the all‐cause mortality in sepsis patients: A retrospective cohort study

Background

The study aimed at evaluating the prognostic utility of the prognostic nutritional index (PNI) for patients with sepsis.

Methods

Data in the present study were obtained from the Multiparameter Intelligent Monitoring in Intensive Care Database III. The calculation for PNI was as follows: serum albumin concentration (g/L) +0.005 × total lymphocyte count. 30‐day mortality was considered as the primary outcome, while 90‐day mortality and one‐year mortality were the secondary outcomes. Cox proportional risk models and propensity score matching (PSM) analyses were used to analyze the association between PNI and clinical outcomes in patients with sepsis. To assess the predictive value of PNI for 30‐day mortality, receiver operator characteristic (ROC) curve analysis was performed.

Results

A total of 2669 patients were in the study. After the confounding factors were adjusted, PNI ≥ 29.3 was identified as an independent predictive prognostic factor for the 30‐day all‐cause mortality (hazard ratio [HR]: 0.65; 95% confidence interval [CI]: 0.56–0.76; p < 0.00001). Moreover, PSM analysis further validated the prognostic predictive value of PNI for patients with sepsis. The AUC of the PNI was 0.6436 (95% CI: 0.6204–0.6625) which was significantly high than the AUC of NLR (0.5962, 95% CI: 0.5717–0.6206) (p = 0.0031), the RDW (0.5878, 95% CI: 0.5629–0.6127) (p < 0.0001), and PLR (0.4979, 95% CI: 0.4722–0.5235) (p < 0.0001).

Conclusion

The findings suggested that PNI was also a significant risk factor for sepsis.

Association Between Obesity and Lower Short- and Long-Term Mortality in Coronary Care Unit Patients: A Cohort Study of the MIMIC-III Database

INTRODUCTION

Obesity has long been considered an independent risk factor for cardiovascular diseases (CVD), even in the COVID-19 pandemic. However, recent studies have found that a certain degree of obesity may be beneficial for patients who have already suffered from CVD, which is called the "obesity paradox". Our objective was to investigate whether the obesity paradox existed in coronary care unit (CCU) patients and the relationship between body mass index (BMI) and short- and long-term mortality.

METHODS

We performed a cohort analysis of 3,502 adult CCU patients from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The patients were divided into four groups according to the WHO BMI categories. Both multivariable logistic regression and Cox regression were used to reveal the relation between BMI and mortality. Subgroup analyses were performed based on Simplified Acute Physiology Score (SAPS) and age.

RESULTS

After adjusting for confounders, obese patients had 33% and 30% lower mortality risk at 30-day and 1-year (OR 0.67, 95% CI 0.51 to 0.89; HR 0.70, 95% CI 0.59 to 0.83; respectively) compared with normal-weight patients, while the underweight group were opposite, with 141% and 81% higher in short- and long-term (OR 2.41, 95% CI 1.37 to 4.12; HR 1.81, 95% CI 1.34 to 2.46; respectively). Overweight patients did not have a significant survival advantage at 30-day (OR 0.91, 95% CI 0.70 to 1.17), but did have a 22% lower mortality risk at 1-year (HR 0.78; 95% CI 0.67 to 0.91). The results were consistent after being stratified by SAPS and age.

CONCLUSION

Our study supports that obesity improved survival at both 30-day and 1-year after CCU admission, and the obesity paradox existed in CCU patients.

The effect of body mass index on the development of acute kidney injury and mortality in intensive care unit: is obesity paradox valid?

BACKGROUND

The conflicting results of studies on intensive care unit (ICU) mortality of obese patients and obese patients with acute kidney injury (AKI) reveal a paradox within a paradox. The aim of this study was to determine the effects of body mass index and obesity on AKI development and ICU mortality.

METHODS

The 4,459 patients treated between January 2015 and December 2019 in the ICU at a Tertiary Care Center in Turkey were analyzed retrospectively.

RESULTS

AKI developed more in obese patients with 69.8% (620). AKI development rates were similar in normal-weight (65.1%; 1172) and overweight patients (64.9%; 1149). The development of AKI in patients who presented with cerebrovascular diseases was higher in obese patients (81; 76.4%) than in normal-weight (158; 62.7%) and overweight (174; 60.8%) patients (p < 0.05). The risk of developing AKI was approximately 1.4 times (CI 95% = 1.177-1.662) higher in obese patients than in normal-weight patients. Dialysis was used more frequently in obese patients (24.3%, p < 0.001), who stayed longer in the ICU (p < 0.05). It was determined that the development of AKI in normal-weight and overweight patients increased mortality (p < 0.001) and that there was not a difference in mortality rates between obese patients with and without AKI.

CONCLUSION

The risk of AKI development was higher in obese patients but not in those who were in serious conditions. Another paradox was that the development of AKI was associated with a higher mortality rate in normal-weight and overweight patients, but not in obese patients. Cerebrovascular diseases as a cause of admission pose additional risks for AKI.

Association between cardiometabolic risk factors and COVID-19 susceptibility, severity and mortality: a review

The novel coronavirus, which began spreading from China Wuhan and gradually spreaded to most countries, led to the announcement by the World Health Organization on March 11, 2020, as a new pandemic. The most important point presented by the World Health Organization about this disease is to better understand the risk factors that exacerbate the course of the disease and worsen its prognosis. Due to the high majority of cardio metabolic risk factors like obesity, hypertension, diabetes, and dyslipidemia among the population over 60 years old and higher, these cardio metabolic risk factors along with the age of these people could worsen the prognosis of the coronavirus disease of 2019 (COVID-19) and its mortality. In this study, we aimed to review the articles from the beginning of the pandemic on the impression of cardio metabolic risk factors on COVID-19 and the effectiveness of COVID-19 on how to manage these diseases. All the factors studied in this article, including hypertension, diabetes mellitus, dyslipidemia, and obesity exacerbate the course of Covid-19 disease by different mechanisms, and the inflammatory process caused by coronavirus can also create a vicious cycle in controlling these diseases for patients.

Association Between Nutritional Risk Screening Score and Prognosis of Patients with Sepsis

Background

Malnutrition is one of the most critical factors affecting patients’ risk of infection and length of stay, and it may affect the prognosis of patients with sepsis. There have been no studies that have applied nutritional risk screening tools to stratify patients with sepsis according to prognosis.

Methods

We retrospectively analyzed the clinical data of 425 adult sepsis inpatients who were grouped based on nutritional risk screening (NRS) score, including a nutrition score, disease severity score, and age score. Prognostic factors were analyzed using univariate and multivariate regression analyses.

Results

Of the enrolled patients, 174 had an NRS score of ≥3; these patients were older and had a longer hospitalization time but lower body mass index (BMI), albumin (ALB) than others. Univariate Cox regression analysis showed that age, ALB, C-reactive protein (CRP), and NRS score were significantly (P<0.05) associated with in-hospital mortality. Multivariate analysis showed that age (hazard ratio [HR]=1.020, 95% confidence interval [CI]: 1.005–1.036; P=0.008) and ALB (HR=0.924, 95% CI: 0.885–0.966; P<0.001) were independent risk factors for sepsis-related mortality. The Kaplan–Meier analysis revealed that the cumulative in-hospital mortality of sepsis patients with an NRS score of ≥3 was significantly higher than that of patients with an NRS score of <3 (P=0.022).

Conclusion

NRS scores can effectively risk stratify sepsis patients. Patients with high NRS scores should be monitored more closely to halt further disease progression.

Effect of obesity on mortality among hospitalized paediatric patients with severe sepsis

INTRODUCTION

Severe sepsis is one of the leading causes of mortality among children. Studies in adults have suggested a protective effect of obesity on mortality among patients hospitalized with sepsis. Paediatric studies evaluating similar relationship is lacking.

METHODS

We analysed non-overlapping years of the Kids Inpatient Database (KID) and National Inpatient Sample (NIS) database between 2003 and 2014 of all paediatric patients with severe sepsis (PSS) up to 20 years of age. PSS was defined using specific International Classification of Diseases (ICD) codes and modified Angus criteria. Using ICD-9 diagnosis codes, patients were divided into three mutually exclusive groups (obesity, morbid obesity and control groups), and these groups were compared for outcomes measures including in-hospital mortality and healthcare resource utilization using the length of stay and inflation-adjusted hospitalization charges.

RESULTS

We analysed 109 026 hospitalizations due to PSS. The prevalence rate of obesity was 1.5% (n = 1643), and morbid obesity was 1.05% (n = 1147). Multivariate regression models showed obesity was associated with 63% (OR 0.37, CI: 0.29-0.47, p < 0.001) and 54% reduction in mortality among PSS patients and patients with septic shock respectively. Contrastingly, morbid obesity was not associated with mortality among PSS patients and but was associated with 1.37 times (CI: 1.06-1.78, p = 0.01) increased risk of mortality among paediatric patients with septic shock.

CONCLUSIONS

Paediatric obesity is associated with reduced mortality among patients with PSS, with the exception of morbid obesity. Further prospective studies are needed to better understand the relationship between obesity and outcomes in PSS.

Clinical guidelines for the management of gastrointestinal fistula – developed by experts of the Polish Surgical Society

Introduction: Gastrointestinal fistula is one of the most difficult problems in gastrointestinal surgery. It is associated with high morbidity and mortality, numerous complications, prolonged hospitalization, and high cost of treatment. </br>Aim: This project aimed to develop recommendations for the treatment of gastrointestinal fistulas, based on evidence-based medicine and best clinical practice to reduce treatment-related mortality and morbidity. </br>Material and methods: The preparation of these recommendations is based on a review of the literature from the PubMed, Medline, and Cochrane Library databases from 1.01.2010 to 31.12.2020, with particular emphasis on systematic reviews and clinical recommendations of recognized scientific societies. Recommendations in the form of a directive were formulated and assessed using the Delphi method. </br>Results and conclusions: Nine recommendations were presented along with a discussion and comments of experts. Treatment should be managed by a multidisciplinary team (surgeon, anesthetist, clinical nutritionist/dietician, nurse, pharmacist, endoscopist).

Visceral Adiposity in Relation to Body Adiposity and Nutritional Status in Elderly Patients with Stable Coronary Artery Disease

Introduction: The accumulation of visceral abdominal tissue (VAT) seems to be a hallmark feature of abdominal obesity and substantially contributes to metabolic abnormalities. There are numerous factors that make the body-mass index (BMI) a suboptimal measure of adiposity. The visceral adiposity index (VAI) may be considered a simple surrogate marker of visceral adipose tissue dysfunction. However, the evidence comparing general to visceral adiposity in CAD is scarce. Therefore, we have set out to investigate visceral adiposity in relation to general adiposity in patients with stable CAD. Material and methods: A total of 204 patients with stable CAD hospitalized in the Department of Medicine and the Department of Geriatrics entered the study. Based on the VAI-defined adipose tissue dysfunction (ATD) types, the study population (N = 204) was divided into four groups: (1) no ATD (N = 66), (2) mild ATD (N = 50), (3) moderate ATD (N = 48), and (4) severe ATD (N = 40). Nutritional status was assessed using the Controlling Nutritional Status (CONUT) score. Results: Patients with moderate and severe ATD were the youngest (median 67 years), yet their metabolic age was the oldest (median 80 and 84 years, respectively). CONUT scores were similar across all four study groups. The VAI had only a modest positive correlation with BMI (r = 0.59 p < 0.01) and body adiposity index (BAI) (r = 0.40 p < 0.01). There was no correlation between VAI and CONUT scores. There was high variability in the distribution of BMI-defined weight categories across all four types of ATD. A total of 75% of patients with normal nutritional status had some form of ATD, and one-third of patients with moderate or severe malnutrition did not have any ATD (p = 0.008). In contrast, 55-60% of patients with mild, moderate, or severe ATD had normal nutritional status (p = 0.008). ROC analysis demonstrated that BMI and BAI have poor predictive value in determining no ATD. Both BMI (AUC 0.78 p < 0.0001) and BAI (AUC 0.66 p = 0.003) had strong predictive value for determining severe ATD (the difference between AUC 0.12 being p = 0.0002). However, BMI predicted mild ATD and severe ATD better than BAI. Conclusions: ATD and malnutrition were common in patients with CAD. Notably, this study has shown a high rate of misclassification of visceral ATD via BMI and BAI. In addition, we demonstrated that the majority of patients with normal nutritional status had some form of ATD and as much as one-third of patients with moderate or severe malnutrition did not have any ATD. These findings have important clinical ramifications for everyday practice regarding the line between health and disease in the context of malnutrition in terms of body composition and visceral ATD, which are significant for developing an accurate definition of the standards for the intensity of clinical interventions.

Associations of obesity and malnutrition with cardiac remodeling and cardiovascular outcomes in Asian adults: A cohort study

BACKGROUND

Obesity, a known risk factor for cardiovascular disease and heart failure (HF), is associated with adverse cardiac remodeling in the general population. Little is known about how nutritional status modifies the relationship between obesity and outcomes. We aimed to investigate the association of obesity and nutritional status with clinical characteristics, echocardiographic changes, and clinical outcomes in the general community.

METHODS AND FINDINGS

We examined 5,300 consecutive asymptomatic Asian participants who were prospectively recruited in a cardiovascular health screening program (mean age 49.6 ± 11.4 years, 64.8% male) between June 2009 to December 2012. Clinical and echocardiographic characteristics were described in participants, stratified by combined subgroups of obesity and nutritional status. Obesity was indexed by body mass index (BMI) (low, ≤25 kg/m2 [lean]; high, >25 kg/m2 [obese]) (WHO-recommended Asian cutoffs). Nutritional status was defined primarily by serum albumin (SA) concentration (low, <45 g/L [malnourished]; high, ≥45 g/L [well-nourished]), and secondarily by the prognostic nutritional index (PNI) and Global Leadership Initiative on Malnutrition (GLIM) criteria. Cox proportional hazard models were used to examine a 1-year composite outcome of hospitalization for HF or all-cause mortality while adjusting for age, sex, and other clinical confounders. Our community-based cohort consisted of 2,096 (39.0%) lean-well-nourished (low BMI, high SA), 1,369 (25.8%) obese-well-nourished (high BMI, high SA), 1,154 (21.8%) lean-malnourished (low BMI, low SA), and 681 (12.8%) obese-malnourished (high BMI, low SA) individuals. Obese-malnourished participants were on average older (54.5 ± 11.4 years) and more often women (41%), with a higher mean waist circumference (91.7 ± 8.8 cm), the highest percentage of body fat (32%), and the highest prevalence of hypertension (32%), diabetes (12%), and history of cardiovascular disease (11%), compared to all other subgroups (all p < 0.001). N-terminal pro B-type natriuretic peptide (NT-proBNP) levels were substantially increased in the malnourished (versus well-nourished) groups, to a similar extent in lean (70.7 ± 177.3 versus 36.8 ± 40.4 pg/mL) and obese (73.1 ± 216.8 versus 33.2 ± 40.8 pg/mL) (p < 0.001 in both) participants. The obese-malnourished (high BMI, low SA) group also had greater left ventricular remodeling (left ventricular mass index, 44.2 ± 1.52 versus 33.8 ± 8.28 gm/m2; relative wall thickness 0.39 ± 0.05 versus 0.38 ± 0.06) and worse diastolic function (TDI-e' 7.97 ± 2.16 versus 9.87 ± 2.47 cm/s; E/e' 9.19 ± 3.01 versus 7.36 ± 2.31; left atrial volume index 19.5 ± 7.66 versus 14.9 ± 5.49 mL/m2) compared to the lean-well-nourished (low BMI, high SA) group, as well as all other subgroups (p < 0.001 for all). Over a median 3.6 years (interquartile range 2.5 to 4.8 years) of follow-up, the obese-malnourished group had the highest multivariable-adjusted risk of the composite outcome (hazard ratio [HR] 2.49, 95% CI 1.43 to 4.34, p = 0.001), followed by the lean-malnourished (HR 1.78, 95% CI 1.04 to 3.04, p = 0.034) and obese-well-nourished (HR 1.41, 95% CI 0.77 to 2.58, p = 0.27) groups (with lean-well-nourished group as reference). Results were similar when indexed by other anthropometric indices (waist circumference and body fat) and other measures of nutritional status (PNI and GLIM criteria). Potential selection bias and residual confounding were the main limitations of the study.

CONCLUSIONS

In our cohort study among asymptomatic community-based adults in Taiwan, we found that obese individuals with poor nutritional status have the highest comorbidity burden, the most adverse cardiac remodeling, and the least favorable composite outcome.

Sepsis and the Obesity Paradox: Size Matters in More Than One Way

OBJECTIVES

Multiple studies have demonstrated an obesity paradox such that obese ICU patients have lower mortality and better outcomes. We conducted this study to determine if the mortality benefit conferred by obesity is affected by baseline serum lactate and mean arterial pressure.

DESIGN

Retrospective analysis of prospectively collected clinical data.

SETTING

Five community-based and one academic medical center in the Omaha, NE.

PATIENTS

7,967 adults hospitalized with sepsis.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Patients were categorized by body mass index as underweight, normal weight, overweight, or obese. Multivariable logistic regression models were used to estimate the odds of in-hospital death by body mass index category; two-way interactions between body mass index and each covariate were also evaluated. Subgroup and sensitivity analyses were conducted using an ICU cohort and Acute Physiology and Chronic Health Evaluation III scores, respectively. The overall unadjusted mortality rate was 12.1% and was consistently lower in higher body mass index categories (all comparisons, p < 0.007). The adjusted mortality benefit observed in patients with higher body mass index was smaller in patients with higher lactate levels with no mortality benefit in higher body mass index categories observed at lactate greater than 5 mmol/L. By contrast, the association between lower MAP and higher mortality was constant across body mass index categories. Similar results were observed in the ICU cohort. Finally, the obesity paradox was not observed after including Acute Physiology and Chronic Health Evaluation III scores as a covariate.

CONCLUSIONS

Our retrospective analysis suggests that although patient size (i.e., body mass index) is a predictor of in-hospital death among all-comers with sepsis-providing further evidence to the obesity paradox-it adds that illness severity is critically important whether quantified as higher lactate or by Acute Physiology and Chronic Health Evaluation III score. Our results highlight that the obesity paradox is more than a simple association between body mass index and mortality and reinforces the importance of illness severity.

Diagnosis and Management of Intraabdominal Infection: Guidelines by the Chinese Society of Surgical Infection and Intensive Care and the Chinese College of Gastrointestinal Fistula Surgeons

The Chinese guidelines for IAI presented here were developed by a panel that included experts from the fields of surgery, critical care, microbiology, infection control, pharmacology, and evidence-based medicine. All questions were structured in population, intervention, comparison, and outcomes format, and evidence profiles were generated. Recommendations were generated following the principles of the Grading of Recommendations Assessment, Development, and Evaluation system or Best Practice Statement (BPS), when applicable. The final guidelines include 45 graded recommendations and 17 BPSs, including the classification of disease severity, diagnosis, source control, antimicrobial therapy, microbiologic evaluation, nutritional therapy, other supportive therapies, diagnosis and management of specific IAIs, and recognition and management of source control failure. Recommendations on fluid resuscitation and organ support therapy could not be formulated and thus were not included. Accordingly, additional high-quality clinical studies should be performed in the future to address the clinicians' concerns.

Morbidity and Mortality in the Obese Trauma Intensive Care Unit Patient

INTRODUCTION

Obesity is an epidemic in the United States, known to be associated with comorbidities. However, some data show that obesity may be a protective factor in some instances. The purpose of this study is to determine if there are differences in morbidity and mortality when comparing the obese and non-obese critically ill trauma patient populations.

MATERIALS AND METHODS

This was a retrospective study conducted at Prisma Health Upstate in Greenville, South Carolina, an Adult Level 1 Trauma Center. Patients over the age of 18 years admitted due to trauma from February 6, 2016 to February 28, 2019 were included in this study. Burn patients were excluded. An online trauma database was used to obtain age, sex, body mass index, Glasgow coma score (GCS), injury severity score (ISS), revised trauma score (RTS), days on mechanical ventilation, hospital length of stay (LOS), and intensive care unit (ICU) LOS.

RESULTS

There were 2365 critically ill trauma patients who met inclusion criteria for this study. 1570 patients were men (66.38%) and mean age was 53.2 ± 20.9. Of the patients, 2166 patients had blunt trauma (91.59%). Median GCS was 15 (interquartilerange [IQR]: 12, 15), median RTS was 12 (IQR: 11, 12), and median ISS was 17 (IQR: 9, 22). Obese critically ill trauma patients had significantly lower odds of mortality than nonobese (OR .686, CI 0.473-.977). Penetrating traumas (OR: 4.206, CI: 2.478, 6.990), increased ISS (OR: 1.095, CI: .473, 1.112), and increased age (OR: 1.036, CI: 1.038, 1.045) were associated with significantly increased odds of mortality.

DISCUSSION

The obesity paradox is observed in the obese critically ill trauma patient population.

The prognostic value of modified NUTRIC score for patients in cardiothoracic surgery recovery unit: A retrospective cohort study

BACKGROUND

Malnutrition is highly prevalent in critically ill patients. The modified Nutrition Risk in the Critically ill (mNUTRIC) score has been introduced to evaluate the nutritional risk of patients in an intensive care unit (ICU). The mNUTRIC score is a predictive factor of mortality for patients in a medical or mixed ICU, whereas the relationship between mNUTRIC and prognosis of patients in a cardiothoracic surgery recovery unit (CSRU) is unclear and related researches are limited.

METHODS

We conducted this retrospective cohort study to explore the value of mNUTRIC score in CSRU patients. We identified totally 4059 patients from the Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC III) database.

RESULTS

The optimal cut-off value of mNUTRIC score was 4 and a total of 1498 (36.9%) patients were considered to be at high nutritional risk (mNUTRIC ≥ 4). A multivariate logistic regression model indicated that patients at high nutritional risk have higher hospital mortality compared to those at low nutritional risk (odds ratio = 2.49, 95% confidence interval (CI) = 1.32-4.70, p = 0.005]. Furthermore, a Cox regression model was established adjusted for age, white blood cell and body mass index. The Kaplan-Meier curve indicated that patients at high nutritional risk have poorer 365-days [hazard ratio (HR) = 1.76, 95% CI = 1.30-2.37, p < 0.001] and 1000-days (HR = 2.30, 95% CI = 1.87-2.83, p < 0.001) overall survival.

CONCLUSIONS

The mNUTRIC score could not only predict hospital mortality, but also be an independent prognostic factor for long-term survival in CSRU patients. More well-designed clinical trials are needed to verify and update our findings.

Prospective model for predicting renal recovery in cardiac surgery patients with acute kidney injury requiring renal replacement therapy

Aim

To develop a model for predicting renal recovery in cardiac surgery patients with acute kidney injury (AKI) requiring renal replacement therapy (RRT).

Methods

Data from a prospective randomized controlled trial, conducted in a tertiary hospital to compare the survival effect of two dosages of hemofiltration for continuous RRT in cardiac surgery patients between 20 March 2012 and 9 August 2015, were used to develop the model. The outcome was renal recovery defined as alive and dialysis‐free 90 days after RRT initiation. Multivariate logistic regression with a stepwise backward selection of variables based on Akaike Information Criterion was applied to develop the model, which was internally validated using bootstrapping. Model discrimination, calibration and clinical value were assessed using the concordance index (C‐Index), calibration plots and decision curve analysis, respectively.

Results

Totally, 211 patients with AKI requiring RRT (66.8% male) with median age of 57 years were included. The incidence of renal recovery was 33.2% (n = 70). The model included six variables: body mass index stratification, baseline estimated glomerular filtration rate, hypertension, sepsis, mean arterial pressure and mechanical ventilation. The C‐Index for this model was 0.807 (95% CI, 0.744–0.870). After correction by the bootstrap, the C‐Index was 0.780 (95% CI, 0.720–0.845). The calibration plots indicated good consistency between actual observations and model prediction of renal recovery. Decision curve analysis demonstrated the model was clinical usefulness.

Conclusion

We developed and validated a model to predict the chance of renal recovery in cardiac surgery patients with AKI requiring RRT.

This validated model based on prospective cohort data to predict the chance of renal recovery in cardiac surgery patients, especially after acute dialysis provides values to alert clinical decision and information for post AKI care.

Obesity in COVID-19 era, implications for mechanisms, comorbidities, and prognosis: a review and meta-analysis

Background

Recent studies have shown that obesity is associated with the severity of coronavirus disease (COVID-19). We reviewed clinical studies to clarify the obesity relationship with COVID-19 severity, comorbidities, and discussing possible mechanisms.

Materials and methods

The electronic databases, including Web of Science, PubMed, Scopus, and Google Scholar, were searched and all studies conducted on COVID-19 and obesity were reviewed. All studies were independently screened by reviewers based on their titles and abstracts.

Results

Forty relevant articles were selected, and their full texts were reviewed. Obesity affects the respiratory and immune systems through various mechanisms. Cytokine and adipokine secretion from adipose tissue leads to a pro-inflammatory state in obese patients, predisposing them to thrombosis, incoordination of innate and adaptive immune responses, inadequate antibody response, and cytokine storm. Obese patients had a longer virus shedding. Obesity is associated with other comorbidities such as hypertension, cardiovascular diseases, diabetes mellitus, and vitamin D deficiency. Hospitalization, intensive care unit admission, mechanical ventilation, and even mortality in obese patients were higher than normal-weight patients. Obesity could alter the direction of severe COVID-19 symptoms to younger individuals. Reduced physical activity, unhealthy eating habits and, more stress and fear experienced during the COVID-19 pandemic may result in more weight gain and obesity.

Conclusions

Obesity should be considered as an independent risk factor for the severity of COVID-19. Paying more attention to preventing weight gain in obese patients with COVID-19 infection in early levels of disease is crucial during this pandemic.

Obesity in the COVID era: A global health challenge

Obesity is a chronic disease that leads to an increased risk of mortality and morbidity, and the impact of the COVID-19 pandemic may create a new health challenge. There is clear evidence showing that some biological and social factors associated with obesity involve an increased risk of COVID-19 infection, hospitalization, and greater severity compared to people with normal weight. Undoubtedly, obesity involves a low-grade proinflammatory state that produces a dysregulation of the immune system that compromises its ability to respond to respiratory infection by COVID-19 and so produces a worsening of the disease. In this review, the main epidemiological and pathophysiological data that associate obesity with COVID-19 are described.

[Obesity in the COVID era: A global health challenge]

Obesity is a chronic disease that leads to an increased risk of mortality and morbidity, and the impact of the COVID-19 pandemic may create a new health challenge. There is clear evidence showing that some biological and social factors associated with obesity involve an increased risk of COVID-19 infection, hospitalization, and greater severity compared to people with normal weight. Undoubtedly, obesity involves a low-grade proinflammatory state that produces a dysregulation of the immune system that compromises its ability to respond to respiratory infection by COVID-19 and so produces a worsening of the disease. In this review, the main epidemiological and pathophysiological data that associate obesity with COVID-19 are described.

The Association Between Body Mass Index and the Risk of Hospitalization and Mortality due to Infection: A Prospective Cohort Study

Background

We aim to determine whether obesity increases the risk of various infections using a large prospective population-based cohort.

Methods

A total of 120 864 adults were recruited from the New Taipei City health screening program from 2005 to 2008. Statistics for hospitalization and mortality due to infection were obtained from the National Health Insurance Database and the National Death Registry in Taiwan.

Results

During a mean follow-up period of 7.61 years, there were 438, 7582, 5298, and 1480 first hospitalizations due to infection in the underweight, normal, overweight, and obese groups, respectively. Obesity significantly increases the risk of hospitalization for intra-abdominal infections (adjusted hazard ratio [aHR], 1.19; 95% CI, 1.00–1.40), including diverticulitis, liver abscess, acute cholecystitis and anal and rectal abscess, reproductive and urinary tract infection (aHR, 1.38; 95% CI, 1.26–1.50), skin and soft tissue infection (aHR, 2.46; 95% CI, 2.15–2.81), osteomyelitis (aHR, 1.70; 95% CI, 1.14–2.54), and necrotizing fasciitis (aHR, 3.54; 95% CI,1.87–6.67), and this relationship is dose-dependent. This study shows that there is a U-shaped association between body mass index (BMI) and hospitalization for lower respiratory tract infection, septicemia, and the summation of all infections and that underweight people are at the greatest risk, followed by obese people. There is a clear negative relationship between BMI and infection-related mortality.

Conclusions

The pattern that BMI affects the risk of hospitalization and mortality due to infection varies widely across infection sites. It is necessary to tailor preventive and therapeutic measures against different infections in hosts with different BMIs.

Is There an Obesity Paradox in Critical Illness? Epidemiologic and Metabolic Considerations

PURPOSE OF REVIEW

Obesity represents a global epidemic with serious implications in public health due to its increasing prevalence and its known association with a high morbidity and mortality burden. However, a growing number of data support a survival benefit of obesity in critical illness. This review summarizes current evidence regarding the obesity paradox in critical illness, discusses methodological issues and metabolic implications, and presents potential pathophysiologic mechanisms.

RECENT FINDINGS

Data from meta-analyses and recent studies corroborate the obesity-related survival benefit in critically ill patients as well as in selected populations such as patients with sepsis and acute respiratory distress syndrome, but not trauma. However, this finding warrants a cautious interpretation due to certain methodological limitations of these studies, such as the retrospective design, possible selection bias, the use of BMI as an obesity index, and inadequate adjustment for confounding variables. Main pathophysiologic mechanisms related to obesity that could explain this phenomenon include higher energy reserves, inflammatory preconditioning, anti-inflammatory immune profile, endotoxin neutralization, adrenal steroid synthesis, renin-angiotensin system activation, cardioprotective metabolic effects, and prevention of muscle wasting. The survival benefit of obesity in critical illness is supported from large meta-analyses and recent studies. Due to important methodological limitations, more prospective studies are needed to further elucidate this finding, while future research should focus on the pathophysiologic role of adipose tissue in critical illness.

Under-Recognizing Malnutrition in Hospitalized Obese Populations: The Real Paradox

PURPOSE OF REVIEW

Obesity and malnutrition are frequently encountered in the hospitalized population. Although malnutrition associated with low or normal body mass index (BMI) is easily identified, malnutrition in obese patients goes frequently unrecognized as their fat mass masks underlying muscle mass deterioration. The purpose of this review is to explore if malnutrition has been studied in the obese hospitalized population and if that may be one of the reasons for the variable results in the obesity outcome data.

RECENT FINDINGS

Various studies have shown a conflicting association between obesity and outcomes in hospitalized patient population. Most prior studies used BMI alone as an indicator of obesity and although some recent studies have included body fat percentage, muscle mass, and functional status, they still showed variable outcomes. Unfortunately, there are not many studies that looked into nutrition status specifically in obese patients to study the outcomes. Studies evaluating clinical outcomes in obese patients showed a wide range of outcomes; some showed a protective effect while others were neutral. We explored recent data about obesity, malnutrition, and outcomes, where researchers more precisely defined malnutrition and obesity to determine health outcomes.

The Life of a Fracture: Biologic Progression, Healing Gone Awry, and Evaluation of Union

New knowledge about the molecular biology of fracture-healing provides opportunities for intervention and reduction of risk for specific phases that are affected by disease and medications. Modifiable and nonmodifiable risk factors can prolong healing, and the informed clinician should optimize each patient to provide the best chance for union. Techniques to monitor progression of fracture-healing have not changed substantially over time; new objective modalities are needed.

Obesity and malnutrition in critically ill patients with acute myeloid leukemia: Prevalence and impact on mortality

OBJECTIVES

Obese patients have an increased risk of developing acute myeloid leukemia (AML), which in turn predisposes to malnutrition. Obesity has been associated with improved survival in critically ill patients (obesity paradox), but this effect seems to disappear when adjusting for malnutrition. How obesity and malnutrition interplay to affect mortality in critically ill patients with AML has not been addressed and was the objective of this study.

METHODS

This was a retrospective chart review of adult patients with AML who were admitted to the medical intensive care unit and had a nutrition consultation between 2011 and 2018. Demographic characteristics, comorbidities, severity scores, and laboratory parameters, as well as data on vital organ support, hospital mortality, and long-term survival were collected. Obesity was defined by a body mass index of ≥30 kg/m² and malnutrition per the American Society for Parenteral and Enteral Nutrition criteria. Patients were compared based on nutrition and weight status, and hospital and long-term mortality were analyzed with logistic regression and Kaplan-Meier curves.

RESULTS

We included 145 patients (57% obese, 30% malnourished) in the study. As time from AML diagnosis elapsed, obesity was less frequent and malnutrition more prevalent, with 25% of obese patients also presenting with malnutrition. Hospital mortality was 40% and associated with malnutrition in nonobese patients (odds ratio: 5.1; 95% confidence interval, 1.3-21.8; P = 0.02) and sequential organ failure assessment severity score (odds ratio: 1.5; 95% confidence interval, 1.3-1.7; P < 0.0001). Sensitivity analyses confirmed the association between malnutrition, but not obesity, and hospital mortality. Obese malnourished patients had lower long-term survival, but this was not significant (P = 0.25).

CONCLUSIONS

Critically ill patients with AML have a high prevalence of malnutrition and obesity, which are sometimes associated. Malnutrition, but not obesity, was associated with hospital mortality.

MUST-Plus: A Machine Learning Classifier That Improves Malnutrition Screening in Acute Care Facilities

OBJECTIVE

Malnutrition among hospital patients, a frequent, yet under-diagnosed problem is associated with adverse impact on patient outcome and health care costs. Development of highly accurate malnutrition screening tools is, therefore, essential for its timely detection, for providing nutritional care, and for addressing the concerns related to the suboptimal predictive value of the conventional screening tools, such as the Malnutrition Universal Screening Tool (MUST). We aimed to develop a machine learning (ML) based classifier (MUST-Plus) for more accurate prediction of malnutrition.

METHOD

A retrospective cohort with inpatient data consisting of anthropometric, lab biochemistry, clinical data, and demographics from adult (≥ 18 years) admissions at a large tertiary health care system between January 2017 and July 2018 was used. The registered dietitian (RD) nutritional assessments were used as the gold standard outcome label. The cohort was randomly split (70:30) into training and test sets. A random forest model was trained using 10-fold cross-validation on training set, and its predictive performance on test set was compared to MUST.

RESULTS

In all, 13.3% of admissions were associated with malnutrition in the test cohort. MUST-Plus provided 73.07% (95% confidence interval [CI]: 69.61%-76.33%) sensitivity, 76.89% (95% CI: 75.64%-78.11%) specificity, and 83.5% (95% CI: 82.0%-85.0%) area under the receiver operating curve (AUC). Compared to classic MUST, MUST-Plus demonstrated 30% higher sensitivity, 6% higher specificity, and 17% increased AUC.

CONCLUSIONS

ML-based MUST-Plus provided superior performance in identifying malnutrition compared to the classic MUST. The tool can be used for improving the operational efficiency of RDs by timely referrals of high-risk patients.

Dietary management of blood glucose in medical critically ill patients with overweight/obesity

PURPOSE OF REVIEW

As the obesity epidemic continues, there is a greater proportion of patients with overweight, obesity, and other forms of adiposity-based chronic disease that require intensive care. Nutrition therapy in the ICU is a vital part of critical care but can be challenging in this setting because of the increased risk of stress hyperglycemia and adverse impact of obesity- and diabetes-related complications.

RECENT FINDINGS

Current guidelines favor early nutritional therapy with a hypocaloric, high-protein diet in patients with overweight/obesity. More aggressive protein intake may be useful in those with greater severity of overweight/obesity with an upper limit of 3 g/kg ideal body weight per day. Although there is no specific recommendation, choosing enteral formulas with higher fat content and slower digesting carbohydrates may assist with glucose control. Supplementation with immunonutrients is recommended, given their known benefits in obesity and in reducing inflammation, but must be done in an individualized manner.

SUMMARY

Aggressive nutritional therapy is crucial in patients with overweight/obesity to support ongoing metabolic demands. Although a hypocaloric high-protein feeding strategy is a starting point, nutritional therapy should be approached in an individualized manner taking into account age, weight and BMI, basal metabolism, nutrition status, complications, and comorbidities.

Does Obesity Protect Against Death in Sepsis? A Retrospective Cohort Study of 55,038 Adult Patients

OBJECTIVES

Observational studies suggest obesity is associated with sepsis survival, but these studies are small, fail to adjust for key confounders, measure body mass index at inconsistent time points, and/or use administrative data to define sepsis. To estimate the relationship between body mass index and sepsis mortality using detailed clinical data for case detection and risk adjustment.

DESIGN

Retrospective cohort analysis of a large clinical data repository.

SETTING

One-hundred thirty-nine hospitals in the United States.

PATIENTS

Adult inpatients with sepsis meeting Sepsis-3 criteria.

EXPOSURE

Body mass index in six categories: underweight (body mass index < 18.5 kg/m), normal weight (body mass index = 18.5-24.9 kg/m), overweight (body mass index = 25.0-29.9 kg/m), obese class I (body mass index = 30.0-34.9 kg/m), obese class II (body mass index = 35.0-39.9 kg/m), and obese class III (body mass index ≥ 40 kg/m).

MEASUREMENTS

Multivariate logistic regression with generalized estimating equations to estimate the effect of body mass index category on short-term mortality (in-hospital death or discharge to hospice) adjusting for patient, infection, and hospital-level factors. Sensitivity analyses were conducted in subgroups of age, gender, Elixhauser comorbidity index, Sequential Organ Failure Assessment quartiles, bacteremic sepsis, and ICU admission.

MAIN RESULTS

From 2009 to 2015, we identified 55,038 adults with sepsis and assessable body mass index measurements: 6% underweight, 33% normal weight, 28% overweight, and 33% obese. Crude mortality was inversely proportional to body mass index category: underweight (31%), normal weight (24%), overweight (19%), obese class I (16%), obese class II (16%), and obese class III (14%). Compared with normal weight, the adjusted odds ratio (95% CI) of mortality was 1.62 (1.50-1.74) for underweight, 0.73 (0.70-0.77) for overweight, 0.61 (0.57-0.66) for obese class I, 0.61 (0.55-0.67) for obese class II, and 0.65 (0.59-0.71) for obese class III. Results were consistent in sensitivity analyses.

CONCLUSIONS

In adults with clinically defined sepsis, we demonstrate lower short-term mortality in patients with higher body mass indices compared with those with normal body mass indices (both unadjusted and adjusted analyses) and higher short-term mortality in those with low body mass indices. Understanding how obesity improves survival in sepsis would inform prognostic and therapeutic strategies.

Sepsis Patients in Critical Care Units with Obesity: Is Obesity Protective?

Obesity is becoming a global health issue and its prevalence is increasing. It is associated with an increased incidence of illness and sepsis. While obesity is associated with increased morbidity and mortality, obesity has been found to be associated with improvement in mortality outcomes in sepsis when compared to leaner patients, a phenomenon described as an obesity paradox. However, the effect of obesity on mortality in adults requiring treatment for sepsis is unclear. Studies evaluating this effect are inconsistent and there is an increased morbidity still associated with obesity. As well, there are many limitations to these studies confounding interpretation. Future prospective studies minimizing bias and confounding factors are suggested to address this important clinical issue.

Obesity and the Survival of Critically Ill Patients with Acute Kidney Injury: A Paradox within the Paradox?

The obesity epidemic is reflected by the rising number of obese patients requiring intensive care. Obesity is a recognized risk factor for the development of acute kidney injury (AKI) in critically ill patients. Both acute critical illness and AKI are associated with higher in-hospital mortality rates, and intensive care unit (ICU) patients suffering from AKI have an elevated risk of death. The relationships between obesity and mortality in critically ill paediatric and adult patients with or without AKI are less clear. Conflicting evidence exists regarding the potential impact of body mass index on the mortality of ICU patients with AKI. Some studies looking at the ICU outcomes of critically ill obese patients with AKI show reduced mortality and others show either no association or elevated mortality. Despite a high biologic plausibility of the proposed causal mechanisms, such as a greater haemodynamic stability and the protective cytokine, adipokine, and lipoprotein defence profiles associated with obesity, the inconsistency of the data suggests that the obesity paradox is a statistical fallacy and the result of chance, bias, and residual confounding variables in retrospective cohort analyses. Further prospective randomized trials are essential to elucidate the role of obesity and the mechanisms underlying a potential survival benefit of obesity in critically ill patients with AKI.

Prevalence of Malnutrition in Older Hospitalized Cancer Patients: A Multicenter and Multiregional Study

BACKGROUND

Malnutrition is frequent in older cancer patients, with a prevalence that ranges from 25% to 85%. The aging process is associated with several physiological changes, which may have implications for nutritional status. Screening tools can be useful for identifying malnutrition status among older patients with cancer.

METHODS

A hospital-based multicenter cohort study that included 44 institutions in Brazil. The Mini Nutritional Assessment-Short Form (MNA-SF) was administered to 3061 older hospitalized cancer patients within 48 hoursof admission. The Kolmogorov-Smirnov test was used to test the sample distribution, considering sex, age range, calf circumference, body mass index, and MNA-SF score and classification. The categorical data were expressed by frequencies (n) and percentages (%)and compared using the chi-square test or Tukey test.

RESULTS

According to the results of the MNA-SF, 33.4% of the patients were malnourished, 39.3% were at risk of malnutrition, and 27.3% were classified as having normal nutritional status. Length of hospital stay (in days) was found to be longer for those patients with a poorer nutritional status (malnourished: 7.07±7.58; at risk of malnutrition: 5.45±10.73; normal status: 3.9±5,84; p <0.001).

CONCLUSIONS

The prevalence of malnutrition and nutritional risk is high in older hospitalized cancer patients in all the regions of Brazil and a worse nutritional status is associated with a longer hospital stay. Using a low-cost, effective nutritional screening tool for older cancer patients will enable specialized nutritional interventions and avoid inequities in the quality of cancer care worldwide.