Adductor Pollicis Muscle Thickness, Energy Intake, Serum Albumin, and Neutrophil-to-Lymphocyte Ratio as Predictors of Mortality in Critically Ill Patients

ABSTRACT Background: Malnutrition is very prevalent in patients with gastric cancer and increases the risk of morbidity and mortality. Adductor pollicis muscle thickness (APMT) appears as an important objective, quick, inexpensive and noninvasive measure to assess the muscle compartment Aim: To compare APMT and other nutritional assessment methods and to correlate these methods with postoperative mortality Methods: Forty-four patients, 29 men and 15 women, mean age of 63±10.2 and ranging from 34-83 years, who underwent nine (20.5%) partial and 34 (77.3%) total gastrectomies due to stomach cancer (stage II to IIIa) were preoperatively assessed by Patient Generated Subjective Global Assessment (PG-SGA), anthropometry and laboratorial profile Results: APMT better predicted death (p<0.001) on both, dominant and non-dominant hand, and well correlated with albumin (p=0.039) and PG-SGA (p=0.007) Conclusion: APMT clearly allowed to determine malnutrition and to predict risk of death in patients with gastric cancer.

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Relationship between adductor pollicis muscle thickness and subjective global assessment in a cardiac intensive care unit

Revista Brasileira de Terapia Intensiva ◽

10.5935/0103-507x.20150062 ◽

2015 ◽

Vol 27 (4) ◽

Cited By ~ 7

Author(s):

Fernanda Pickrodt Karst ◽

Renata Monteiro Vieira ◽

Sandra Barbiero

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Global Assessment ◽

Muscle Thickness ◽

Adductor Pollicis ◽

Subjective Global Assessment ◽

Cardiac Intensive Care Unit ◽

Adductor Pollicis Muscle ◽

Cardiac Intensive Care

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Dynamic Changes of the Neutrophil-to-Lymphocyte Ratio, Systemic Inflammation Index, and Derived Neutrophil-to-Lymphocyte Ratio Independently Predict Invasive Mechanical Ventilation Need and Death in Critically Ill COVID-19 Patients

Biomedicines ◽

10.3390/biomedicines9111656 ◽

2021 ◽

Vol 9 (11) ◽

pp. 1656

Author(s):

Emanuel Moisa ◽

Dan Corneci ◽

Silvius Negoita ◽

Cristina Raluca Filimon ◽

Andreea Serbu ◽

...

Keyword(s):

Mechanical Ventilation ◽

Critically Ill ◽

Systemic Inflammation ◽

Predictive Value ◽

Cox Regression ◽

Invasive Mechanical Ventilation ◽

Neutrophil To Lymphocyte Ratio ◽

Dynamic Changes ◽

Hematological Indices ◽

Lymphocyte Ratio

Background: Hematological indices can predict disease severity, progression, and death in patients with coronavirus disease-19 (COVID-19). Objectives: To study the predictive value of the dynamic changes (first 48 h after ICU admission) of the following ratios: neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte (PLR), monocyte-to-lymphocyte (MLR), systemic inflammation index (SII), and derived neutrophil-to-lymphocyte (dNLR) for invasive mechanical ventilation (IMV) need and death in critically ill COVID-19 patients. Methods: Observational, retrospective, and multicentric analysis on 272 patients with severe or critical COVID-19 from two tertiary centers. Hematological indices were adjusted for confounders through multivariate analysis using Cox regression. Results: Patients comprised 186 males and 86 females with no difference across groups (p > 0.05). ΔNLR > 2 had the best independent predictive value for IMV need (HR = 5.05 (95% CI, 3.06–8.33, p < 0.0001)), followed by ΔSII > 340 (HR = 3.56, 95% CI 2.21–5.74, p < 0.0001) and ΔdNLR > 1 (HR = 2.61, 95% CI 1.7–4.01, p < 0.0001). Death was also best predicted by an NLR > 11 (HR = 2.25, 95% CI: 1.31–3.86, p = 0.003) followed by dNLR > 6.93 (HR = 1.89, 95% CI: 1.2–2.98, p = 0.005) and SII > 3700 (HR = 1.68, 95% CI: 1.13–2.49, p = 0.01). Conclusions: Dynamic changes of NLR, SII, and dNLR independently predict IMV need and death in critically ill COVID-19 patients.

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