Inflammation and response to nutrition interventions

The implications of poor nutritional status on outcomes of geriatric trauma patients

BACKGROUND

Malnutrition is shown to be associated with worse outcomes among surgical patients, yet its postdischarge outcomes in trauma patients are not clear. This study aimed to evaluate both index admission and postdischarge outcomes of geriatric trauma patients who are at risk of poor nutritional status.

METHODS

This is a secondary analysis of the prospective observational American Association of Surgery for Trauma Frailty Multi-institutional Trial. Geriatric (≥65 years) patients presenting to 1 of the 17 Level I/II/III trauma centers (2019-2021) were included and stratified using the simplified Geriatric Nutritional Risk Index (albumin [g/dL] + body mass index [kg/m2]/10) into severe (simplified Geriatric Nutritional Risk Index <5), moderate (5.5> simplified Geriatric Nutritional Risk Index ≥5), mild level of nutritional risk (6> simplified Geriatric Nutritional Risk Index ≥5.5), and good nutritional status (simplified Geriatric Nutritional Risk Index ≥6) and compared.

RESULTS

Of the 1,321 patients enrolled, 22% were at risk of poor nutritional status (mild: 13%, moderate: 7%, severe: 3%). The mean age was 77 ± 8 years, and the median [interquartile range] Injury Severity Score was 9 [5-13]. Patients at risk of poor nutritional status had greater rates of sepsis, pneumonia, discharge to the skilled nursing facility and rehabilitation center, index-admission mortality, and 3-month mortality (P < .05). On multivariable analyses, being at risk of severe level of nutritional risk was independently associated with sepsis (adjusted odds ratio 6.21, 95% confidence interval 1.68-22.90, P = .006), pneumonia (adjusted odds ratio 4.40, 95% confidence interval 1.21-16.1, P = .025), index-admission mortality (adjusted odds ratio 3.16, 95% confidence interval 1.03-9.68, P = .044), and 3-month mortality (adjusted odds ratio 8.89, 95% confidence interval 2.01-39.43, P = .004) compared with good nutrition state.

CONCLUSION

Nearly one quarter of geriatric trauma patients were at risk of poor nutritional status, which was identified as an independent predictor of worse index admission and 3-month postdischarge outcomes. These findings underscore the need for nutritional screening at admission.

Serum growth differentiation factor 15 as a biomarker for malnutrition in patients with acute exacerbation of chronic obstructive pulmonary disease

Background

Chronic obstructive pulmonary disease (COPD) is a common respiratory disease that often coexists with malnutrition during acute exacerbation (AECOPD) and significantly affects the prognosis. Previous studies have shown that growth differentiation factor 15 (GDF15) levels promote appetite suppression, weight loss, and muscle weakness, and are markedly high in peripheral blood following inflammatory stimulation. However, it is still unknown whether serum GDF15 levels can be used to predict malnutrition in patients with AECOPD.

Methods

A total of 142 patients admitted to the Department of Respiratory Medicine at Anshun People's Hospital between December 2022 and August 2023 were selected for this study. The participants were divided into two groups: malnutrition group (n = 44) and non-malnutrition group (n = 98) based on a body mass index (BMI) < 18.5 kg/m2, according to the Global Leadership Initiative on Malnutrition (GLIM) criteria. Serum GDF15 levels were measured using the enzyme-linked immunosorbent assay (ELISA) and compared between the two groups. Spearman correlation analysis was used to examine the association between serum GDF15 levels, baseline data, and clinical indicators. Binary logistic regression was used to identify the independent risk factors for AECOPD combined with malnutrition. The predictive value of serum GDF15, albumin (ALB), and a combination of these was evaluated to identify malnutrition in patients with AECOPD using a receiver operating characteristic (ROC) curve.

Results

Serum GDF15 levels in patients with malnutrition and AECOPD were significantly higher than those in patients without malnutrition, whereas the serum ALB levels were significantly lower than those in patients without malnutrition (p < 0.001). Moreover, serum GDF15 levels were negatively correlated with BMI (r = -0.562, p < 0.001), mid-arm circumference (r = -0.505, p < 0.001), calf circumference (r = -0.490, p < 0.001), total protein (r = -0.486, p < 0.001), ALB (r = -0.445, p < 0.001), and prognostic nutritional index (r = -0.276, p = 0.001), and positively correlated with C-reactive protein (r = 0.318, p < 0.001), COPD assessment test score (r = 0.286, p = 0.001), modified medical research council classification (r = 0.310, p < 0.001), and global initiative for chronic obstructive pulmonary disease grade (r = 0.177, p = 0.035). Furthermore, serum GDF15 levels were an independent risk factor for malnutrition in patients with AECOPD (OR = 1.010, 95% CI, 1.003∼1.016). The optimal cut-off value of serum GDF15 level was 1,092.885 pg/mL, with a sensitivity of 65.90% and a specificity of 89.80%, while the serum ALB level was 36.15 g/L, with a sensitivity of 86.40% and a specificity of 65.00%, as well as a combined sensitivity of 84.10% and a specificity of 73.90%. Serum GDF15 and serum ALB levels had a good predictive ability (AUC = 0.856, AUC = 0.887), and the ROC revealed a greater combined prediction value for the two (AUC = 0.935).

Conclusion

Serum GDF15 levels could be used as a potential biomarker in the prediction of malnutrition in patients with AECOPD, offering a guidance for future clinical evaluation of malnutrition.

Predictive significance of systemic immune-inflammation index combined with prealbumin for postoperative pneumonia following lung resection surgery

BACKGROUND

We aimed to determine whether systemic immune-inflammation index (SII) combined with prealbumin can provide better predictive power for postoperative pneumonia in patients undergoing lung resection surgery.

METHODS

We identified eligible patients undergoing lung resection surgery at the Affiliated Hospital of Nantong University from March 2021 to March 2022. Demographic characteristics, clinical data, and laboratory information were collected and reviewed from the electronic medical records of the patients. To test the effect of the combined detection of SII and prealbumin, we made an equation using logistic regression analysis. The receiver operating characteristic curve (ROC) was plotted to evaluate the predictive powers, sensitivity, and specificity of prealbumin, SII, and SII combined with prealbumin. Decision curve analysis (DCA) was used to determine the clinical validity and net benefit of different methods of detection.

RESULTS

Totally 386 eligible patients were included with a median age of 62.0 years (IQR: 55.0, 68.0), and 57 (14.8%) patients presented with postoperative pneumonia within 7 days after surgery. The multivariate regression analysis showed that preoperative SII as continuous variable was associated with an increased risk of postoperative pneumonia (OR: 1.38, 95% CI: 1.19-2.83, P = 0.011), whereas the prealbumin as continuous variable remained as an independent protective predictor of postoperative pneumonia in the adjusted analysis (OR: 0.80, 95% CI: 0.37-0.89, P = 0.023). Compared to SII or prealbumin, the combined detection of preoperative SII and prealbumin showed a higher predictive power with area under curve of 0.79 (95% CI: 0.71-0.86, P < 0.05 for all). Additionally, DCA indicated that the combined detection was superior over preoperative SII or prealbumin alone in clinical validity and net benefit.

CONCLUSION

Both preoperative SII and prealbumin are independent influencing factors for postoperative pneumonia after lung resection surgery. The combined detection of preoperative SII and prealbumin can significantly improve prediction capability to identify potential postoperative pneumonia-susceptible patients, facilitating early interventions to improve postoperative quality of life for surgical lung resection patients.