Controlling nutritional status score and prognostic nutrition index predict the outcome after severe traumatic brain injury

Patients with Severe Trauma Having an Injury Severity Score of 24 and above Develop Nutritional Disorders

In this single-center, retrospective, observational study, we aimed to assess the severity at which patients with trauma tend to develop metabolic disturbances that worsen their Controlling Nutritional Status (CONUT) scores. Participants were general adult patients with trauma hospitalized for at least one week. Injury Severity Scores (ISSs) at admission and CONUT scores one week later were calculated, and correlation coefficients were examined. The receiver operating characteristic (ROC) curve was used to calculate the ISS cutoff value for a CONUT score of 5 or more on day 7 of hospitalization. The ISS was assessed using multiple logistic regression analysis to determine whether it predicts worse nutritional status. Forty-nine patients were included. ISSs correlated with CONUT scores on day 7 (r = 0.373, p = 0.008). Using the ROC curve, the cutoff value for the ISS was 23.5. Multiple logistic regression analyses showed that a high ISS (odds ratio [OR], 1.158; 95% confidence interval [CI], 1.034-1.296; p = 0.011) and older age (OR, 1.094; 95% CI, 1.027-1.165; p = 0.005) were associated with a CONUT score 5 or more on day 7 of hospitalization. Patients with trauma with an ISS of 24 or higher have worsening CONUT scores during hospitalization; these patients require careful nutritional management.

Analysis of risk factors and development of predictive model for malnutrition in patients with traumatic brain injury

Malnutrition is a highly prevalent complication in patients with traumatic brain injury (TBI), and it is closely related to the prognosis of patients. Accurate identification of patients at high risk of malnutrition is essential. Therefore, we analyzed the risk factors of malnutrition in patients with TBI and developed a model to predict the risk of malnutrition. A retrospective collection of 345 patients with TBI, and they were divided into malnutrition and comparison groups according to the occurrence of malnutrition. Univariate correlation and multifactor logistic regression analyses were performed to determine patients' malnutrition risk factors. We used univariate and logistic regression (forward stepwise method) analyses to identify significant predictors associated with malnutrition in patients with TBI and developed a predictive model for malnutrition prediction. The model's discrimination, calibration, and clinical utility were evaluated using the receiver operating characteristic (ROC) curve, calibration plots, and decision curve analysis (DCA). A total of 216 patients (62.6%) developed malnutrition. Multifactorial logistic regression analysis showed that pulmonary infection, urinary tract infection, dysphagia, application of NGT, GCS score ≤ 8, and low ADL score were independent risk factors for malnutrition in patients with TBI (P < 0.05). The area under the curve of the model was 0.947. Calibration plots showed good discrimination of model calibration. DCA showed that the column line plot models were all clinically meaningful when nutritional interventions were performed over a considerable range of threshold probabilities (0-0.98). Malnutrition is widespread in patients with TBI, and the nomogram is a good predictor of whether patients develop malnutrition.

Procalcitonin/Albumin Ratio Predicts the Outcome After Severe Traumatic Brain Injury: A Propensity Score-Matched Analysis

BACKGROUND

The procalcitonin/albumin ratio (PAR), a novel inflammation-based index, has been reported to predict the prognosis following cardiopulmonary bypass surgery and bacterial infection. However, whether PAR can predict the outcome of patients with severe traumatic brain injury (STBI) has not been fully elucidated. This study aimed to investigate the relationship between serum PAR levels and prognosis at 6 months after STBI.

METHODS

We retrospectively enrolled 129 patients diagnosed with STBI and collected relevant clinical and laboratory data. Logistic regression analysis was used to estimate the association of PAR with the prognosis of STBI. The receiver operating characteristics curve was performed to examine the predictive use of PAR for prognosis. Propensity score matching (PSM) analysis was also performed to improve the reliability of the results. The primary outcome measures were expressed as a score on the modified Rankin Scale at 6 months.

RESULTS

The unfavorable prognosis group had advanced age, lower Glasgow Coma Scale score, higher rate of cerebral hernia and intracranial infection, higher neutrophil/lymphocyte ratio (NLR) and C-reactive protein/albumin ratio (CAR), elevated PAR, and higher rate of pneumonia. Multivariate analysis showed that PAR (before PSM: odds ratio 3.473, 95% confidence interval 2.983-4.043, P < 0.001; after PSM: odds ratio 5.358, 95% confidence interval 3.689-6.491, P < 0.001) was independently associated with unfavorable outcome. The area under the curve of the PAR for predicting an unfavorable outcome was higher than that of the CAR and NLR.

CONCLUSIONS

The PAR might be a novel independent risk factor of the outcome after STBI. Moreover, PAR was a better biomarker in predicting the outcome of patients with STBI than CAR and NLR.

FT4-to-FT3 ratio is a novel prognostic marker in subacute combined spinal cord degeneration patients

Objectives

The FT4-to-FT3 ratio (FFR) variations in patients with subacute combined spinal cord degeneration (SCSD) as a potentially useful prognostic indicator are still unknown. This study aimed to investigate the changes of FFR as a potentially valuable prognostic predictor in patients with SCSD.

Methods

This study included 144 consecutive SCSD patients who received standard diagnostic and therapeutic procedures between January 2015 and December 2021 and were admitted to the Department of Neurology at the First Affiliated Hospital of Bengbu Medical University. At the time of admission, we gathered data on all patients' demographics, daily routines, previous chronic conditions, medication histories, and other clinical details. For the purpose of measuring FFR, blood samples were specifically taken within 48 h of admission. The degree of neurological impairment of patients was assessed using the functional disability scale at the time of admission. At 6 months following discharge, the Modified Rankin Scale (mRS) was used to evaluate the clinical prognosis. To evaluate the relationship between the FFR and the risks of a poor outcome (mRS > 2), univariate and multivariate logistic regression analysis was utilized. The significance of the FT4/FT3 ratio in predicting the clinical outcomes in SCSD patients 6 months after discharge was assessed using the area under curve-receiver operating characteristic (AUC-ROC).

Results

About 90 patients (62.5%) of the 144 patients had poor outcomes, while 54 (37.5%) had favorable outcomes. Higher FFR at admission was independently linked to higher odds of a poor outcome, according to a logistic analysis. With an optimized cutoff value of >2.843, the FFR exhibited the maximum accuracy for predicting a poor outcome, according to the AUC‒ROC curve (AUC 0.731, P < 0.001; sensitivity, 77.8%; specificity, 83.3%). FFR was identified as an independent predictor of poor outcomes by multivariate logistic regression (OR, 2.244; 95% CI, 1.74-2.90; P < 0.001).

Conclusions

We discovered that in patients who had a bad result 6 months after discharge, the FFR had dramatically increased at the time of admission, providing a unique prognostic marker in patients with SCSD.

High prognostic nutritional index could be associated with improved survival in patients with brain metastases: a retrospective observational study

BACKGROUND

Prognostic nutritional index (PNI) is an indicator of immunonutritional status. The present study aimed to evaluate the association between PNI and overall survival in patients with brain metastases.

METHODS

A total of 257 patients with histologically confirmed brain metastasis who underwent surgery at our center between April 2011 and April 2021 were investigated retrospectively.Demographic, clinical, and radiologic data of all cases were extracted. Patients were divided into the low PNI group(PNI <45) (malnutrition status) and the high PNI group (PNI ≥45)(normal nutritional status). Survival analyses were performed using the Kaplan-Meier method and compared using the log-rank test. Univariate and multivariate analyses were performed using the Cox proportional hazards method.

RESULTS

From the 257 cases of brain metastases, there were 148 (57.6%) males and 109 (42.4%) females. The mean age was 57.02 ± 8.7. The median overall survival was 13 months. The results of the multivariate Cox regression analyses showed primary cancer site (HR 2.196, 95% CI 1.988-6.52605, P = 0.000), the number of metastases (HR 1.829, 95% CI 1.380-2.872, P = 0.037), extracranial involvement (HR 2.186, 95% CI 1.213-4.171, P = 0.026), adjuvant radiotherapy (HR 2.823, 95% CI 1.187-5.415, P = 0.017) and PNI (HR 1.961, 95% CI 1.168-3.515, P = 0.021) as the independent predictors of overall survival in patients with brain metastases.

CONCLUSION

Our results suggest that PNI could be associated with survival in patients with brain metastases. Patients with a lower PNI had a significantly worse outcome in comparison with those with a higher PNI. Evaluation of PNI may provide additional prognostic information in patients with brain metastases.

Modified Nutrition Risk in the Critically ill score and mortality in critically ill patients with traumatic brain injury

BACKGROUND

Understanding the relationship between nutrition risk at admission to the intensive care unit (ICU) and the prognosis of patients with traumatic brain injury (TBI) may aid early recognition of high-risk patients.

METHODS

We extracted data from the Medical Information Mart for Intensive Care III and the electronic ICU Collaborative Research Databases. Using modified Nutrition Risk in the Critically ill score (mNUTRIC) within the first 24 h of ICU admission, 5153 patients were divided into three groups: low (≤1, n = 1765), moderate (2-4, n = 2574), and high (≥5, n = 814). The primary outcome was 28-day in-hospital mortality, and the secondary outcomes were 7-day in-hospital mortality, length of ICU stay, and duration of mechanical ventilation.

RESULTS

During the median follow-up time of 6.69 days, 647 deaths occurred in total. After adjustment for potential confounding factors, setting the low mNUTRIC group as a reference, the risk of 28-day mortality was increased in the high and moderate mNUTRIC groups (hazard ratio [HR]high vs low [95% CI]: 4.21 [2.70-6.58] and 2.84 [1.95-4.14], respectively). Similarly, high and moderate mNUTRIC scores are linked to a higher risk of 7-day mortality (PTrend  < 0.001) and a longer duration of mechanical ventilation (PTrend  < 0.001). The effect of mNUTRIC on mortality varied by serum glucose level (PInteraction  = 0.01). Lastly, those whose mNUTRIC scores deteriorated within the first 3 days have a 1.46 times greater risk of dying compared with patients with improved mNUTRIC scores.

CONCLUSIONS

Nutrition risk screening by mNUTRIC score at the time of admission to the ICU may improve mortality prediction.

A low prognostic nutritional index is associated with chronic subdural hematoma recurrence

Chronic subdural hematoma (CSDH) is a common neurosurgical condition. Inflammation has been found to play an essential role in the formation of CSDHs, and the prognostic nutritional index (PNI), a nutritional and inflammatory baseline marker, plays a role in predicting the prognosis of many diseases. We aimed to identify the relationship between PNI and CSDH recurrence. This study retrospectively analyzed 261 CSDH patients who underwent burr hole evacuation in Beijing Tiantan Hospital from August 2013 to March 2018. The PNI was calculated as 5 ∗ lymphocyte count (10⁹/L) + serum albumin concentration (g/L), and these markers were obtained from the peripheral blood test on the day of discharge from the hospital. Recurrence was defined as operated hematoma enlargement accompanied by newly emerging neurological disorders. The comparison of baseline characteristics demonstrated that patients with bilateral hematoma and low levels of albumin, lymphocytes, and PNI were more likely to be recurrent. After adjusting for age, sex, and other important variables, decreased PNI levels were associated with an increased risk of CSDH (OR, 0.803, 95% CI: 0.715-0.902, p = 0.001). The addition of PNI to conventional risk factors significantly improved the risk prediction of CSDH (net reclassification index: 71.12%, p = 0.001; integrated discrimination index: 10.94%, p = 0.006). A low PNI level is associated with an increased risk of CSDH recurrence. As an easily obtainable nutritional and inflammatory marker, PNI may play a significant role in predicting the recurrence of CSDH patients.

The Addition of the Geriatric Nutritional Risk Index to the Prognostic Scoring Systems Did Not Improve Mortality Prediction in Trauma Patients in the Intensive Care Unit

Background

Malnutrition is prevalent among critically ill patients and has been associated with a poor prognosis. This study sought to determine whether the addition of a nutritional indicator to the various variables of prognostic scoring models can improve the prediction of mortality among trauma patients in the intensive care unit (ICU).

Methods

This study's cohort included 1,126 trauma patients hospitalized in the ICU between January 1, 2018, and December 31, 2021. Two nutritional indicators, the prognostic nutrition index (PNI), a calculation based on the serum albumin concentration and peripheral blood lymphocyte count, and the geriatric nutritional risk index (GNRI), a calculation based on the serum albumin concentration and the ratio of current body weight to ideal body weight, were examined for their association with the mortality outcome. The significant nutritional indicator was served as an additional variable in prognostic scoring models of the Trauma and Injury Severity Score (TRISS), the Acute Physiology and Chronic Health Evaluation (APACHE II), and the mortality prediction models (MPM II) at admission, 24, 48, and 72 h in the mortality outcome prediction. The predictive performance was determined by the area under the receiver operating characteristic curve.

Results

Multivariate logistic regression revealed that GNRI (OR, 0.97; 95% CI, 0.96-0.99; p=0.007), but not PNI (OR, 0.99; 95% CI, 0.97-1.02; p=0.518), was independent risk factor for mortality. However, none of these predictive scoring models showed a significant improvement in prediction when the GNRI variable is incorporated.

Conclusions

The addition of GNRI as a variable to the prognostic scoring models did not significantly enhance the performance of the predictors.

Poor nutritional status is associated with incomplete functional recovery in elderly patients with mild traumatic brain injury

Background

The geriatric nutritional risk index (GNRI) is a simple index for evaluating the nutrition status of elderly patients. Many investigations have demonstrated that this index is associated with the prognosis of several diseases. This study aims to identify the relationship between the GNRI and recovery in elderly mild traumatic brain injury (mTBI) patients.

Methods

A total of 228 mTBI patients older than 65 years were included in this study. mTBI was defined as an injury to the brain with a loss of consciousness of 30 min or less, a duration of posttraumatic amnesia of &lt;24 h, and an admission Glasgow Coma Scale (GCS) score of 13–15. The Glasgow Outcome Scale Extended (GOSE), an outcome scale assessing functional independence, work, social activities, and personal relationships, was applied to assess the recovery of the patients. The clinical outcome was divided into complete recovery (GOSE = 8) and incomplete recovery (GOSE ≤ 7) at 6 months after the injury. Multivariate logistic regression was applied to evaluate the association between the GNRI and recovery of elderly mTBI patients, with adjustment for age, sex, hypertension, diabetes, and other important factors.

Results

The receiver operating curve (ROC) analysis demonstrated that the cutoff value of GNRI was 97.85, and the area under the curve (AUC) was 0.860. Compared to the patients with a high GNRI, the patients with a low GNRI were older, had a higher prevalence of anemia, acute subdural hematoma, and subarachnoid hemorrhage, had a higher age-adjusted Charlson Comorbidity Index value, and had lower levels of albumin, lymphocytes, and hemoglobin. Multivariable analysis showed that high GNRI was associated with a lower risk of 6-month incomplete recovery (OR, 0.770, 95% CI: 0.709–0.837, p &lt; 0.001).

Conclusion

The GNRI has utility as part of the objective risk assessment of incomplete 6-month functional recovery in elderly patients with mTBI.

Influence of Oxidative Stress and Inflammation on Nutritional Status and Neural Plasticity: New Perspectives on Post-Stroke Neurorehabilitative Outcome

Beyond brain deficits caused by strokes, the effectiveness of neurorehabilitation is strongly influenced by the baseline clinical features of stroke patients, including a patient's current nutritional status. Malnutrition, either as a pre-stroke existing condition or occurring because of ischemic injury, predisposes patients to poor rehabilitation outcomes. On the other hand, a proper nutritional status compliant with the specific needs required by the process of brain recovery plays a key role in post-stroke rehabilitative outcome favoring neuroplasticity mechanisms. Oxidative stress and inflammation play a role in stroke-associated malnutrition, as well as in the cascade of ischemic events in the brain area, where ischemic damage leads to neuronal death and brain infarction, and, via cell-to-cell signaling, the alteration of neuroplasticity processes underlying functional recovery induced by multidisciplinary rehabilitative treatment. Nutrition strategies based on food components with oxidative and anti-inflammatory properties may help to reverse or stop malnutrition and may be a prerequisite for supporting the ability of neuronal plasticity to result in satisfactory rehabilitative outcome in stroke patients. To expand nutritional recommendations for functional rehabilitation recovery, studies considering the evolution of nutritional status changes in post-stroke patients over time are required. The assessment of nutritional status must be included as a routine tool in rehabilitation settings for the integrated care of stroke-patients.

Cerebral Ischemic Complications After Surgical Revascularization for Moyamoya Disease: Risk Factors and Development of a Predictive Model Based on Preoperative Nutritional Blood Parameters

Objectives

Cerebral ischemic complications are common after revascularization in patients with moyamoya disease (MMD). Risk factors from specific laboratory variables have only been assessed by limited research. This study was to investigate the association between postoperative cerebral ischemia and nutritional blood parameters and examine predictive values of such risk factors in adults.

Methods

Preoperative demographics and nutritional blood parameters of patients with MMD who received revascularization at our institution from 2012 to 2021 were retrospectively reviewed. Univariate analysis and multivariable logistic regression were used to identify independent risk factors for the onset of postoperative cerebral ischemic complications. Predictive values were tested and a model incorporating these independent risk factors was created using the R program. Area under the receiver operating characteristic curve (AUC) was used for testing its discriminability.

Results

Postoperative cerebral ischemic complications occurred in 32 patients of 100 included procedures. Surgery on the left hemisphere, lower admission modified Rankin Scale (mRS) score, aberrant nutritional parameters including low white blood cell (WBC), and high total cholesterol (TC) were significantly associated with cerebral ischemic complications after revascularization. The intriguing role of WBC might be explained by altered immunomodulation. The AUC of this model with novel nutritional parameters yielded a value of 0.811, presenting better predictive accuracy. Additionally, the model was visualized in the form of a nomogram and translated into a user-friendly calculator to generate individual risk.

Conclusions

Surgical side, admission mRS score, WBC, and TC were independent risk factors for postoperative cerebral ischemic complications. The model composed of these four parameters was promising to be adopted in clinical practice.