Prognostic nutritional index predicts clinical outcomes in patients with cerebral venous sinus thrombosis

Malnutrition and cerebral intraparenchymal damage in patients with thrombosis of dural sinuses and/or cerebral veins

BACKGROUNDS

Thrombosis of dural sinuses and/or cerebral veins (CVT) is an uncommon form of cerebrovascular disease. Malnutrition is common in patients with cerebrovascular disease, and early assessment of malnutrition and individualized nutritional treatment have been reported to improve functional outcomes of these patients. As for CVT patients, little is known about whether these patients would suffer from malnutrition. Also, the correlation between malnutrition and cerebral intraparenchymal damage (CID) in CVT patients was rarely studied.

METHODS

Patients with CVT were retrospectively included in this observational study. Multivariate logistic regressions were used to investigate the effects of nutritional indexes on the risk of CID. Subsequently, we used the independent risk factors to construct the nomogram model, and the consistency index (C-index), calibration curve and decision curve analysis (DCA) to assess the reliability and applicability of the model.

RESULTS

A total of 165 patients were included in the final analysis. Approximately 72.7% of CVT patients were regarded as malnourished by our malnutrition screening tools, and malnutrition is associated with an increased risk of CID. Prognostic Nutritional Index (PNI) (OR = 0.873; CI: 0.791, 0.963, p = 0.007) remained as an independent predictor for CID after adjustment for other risk factors. The nomogram model showed that PNI and gender have a great contribution to prediction. Besides, the nomogram model was consistent with the actual observations of CID risk (C-index = 0.65) and was of clinical significance.

CONCLUSIONS

We reported that malnutrition, as indicated by PNI, was associated with a higher incidence of CID in CVT patients. Also, we have constructed a nomogram for predicting the risk of CID in these patients.

Association between the prognostic nutritional index and severe headache or migraine: a population-based study

PURPOSE

Migraine is a highly prevalent headache disorder, and intake of various nutrients and special diets may improve migraine symptoms. We aimed to clarify the association between nutritional status and migraine.

PATIENTS AND METHODS

We collected the data of 1838/8953 (migraineurs/all participants) from the National Health and Nutrition Examination Survey (NHANES) 1999-2004 cycle. We used weighted multivariable linear or logistic regression analyses to study the association between the prognostic nutritional index (PNI) and the occurrence of severe headache or migraine.

RESULTS

After adjusting for confounding variables, we found that mild (PNI 45-50) or moderate to severe (PNI <45) malnutrition were associated with higher prevalence of severe headache or migraine (odds ratio [OR] 1.06, 95% confidence interval [CI] 1.00-1.12, P = 0.004; OR 1.07, 95% CI 1.03-1.12, P < 0.001). In addition, we found that those with severe headache or migraine consumed less alcohol, dietary fiber, cholesterol, total folate, vitamin A, riboflavin, vitamin B6, vitamin B12, vitamin C, vitamin K, selenium, potassium, magnesium, and copper, and consumed more caffeine and theobromine than did those without severe headache or migraine.

CONCLUSION

The PNI is associated with migraine prevalence, and may thus serve as a predictor of migraine risk and highlights the potential of nutrition-based strategies for migraine prevention and treatment.

The Prognostic Nutritional Index and Mortality in Patients With Ventriculoperitoneal Shunt Infection

The objective of this study was to investigate the relationship between mortality and the prognostic nutritional index (PNI) in the pediatric patient group with ventriculoperitoneal shunt (VPS) infection. A total of 63 pediatric patients with a VPS infection and positive cerebrospinal fluid (CSF) culture were retrospectively registered. The CSF specimens were analyzed to conduct culture and microscopic evaluation. A total of 44.4% of the cases were men and 55.6% of the cases were women. Patients were divided into 2 groups (survivor and non-survivor patients). When survivor and non-survivor patients were compared, it was found that CSF leukocytes, CSF glucose, CSF protein, CSF/blood glucose ratio, lymphocyte, albumin, and PNI levels were lower in the non-survivor patients' group. Nevertheless, blood glucose and CRP (C-reactive protein) were significantly higher in the non-survivor patients' group than in the survivor patients' group. In our investigation, we suggested that low PNI was related to high mortality in cases of VPS infection.

Association between Malnutrition and Migraine Risk Assessed Using Objective Nutritional Indices

Dietary triggers are frequently linked to migraines. Although some evidence suggests that dietary interventions might offer a new avenue for migraine treatment, the connection between migraine and nutrition remains unclear. In this study, we explored the association between nutritional status and migraines. Clinical data spanning 11 years were sourced from the Smart Clinical Data Warehouse. The nutritional statuses of 6603 migraine patients and 90,509 controls were evaluated using the Controlling Nutrition Status (CONUT) score and the Prognostic Nutrition Index (PNI). The results showed that individuals with mild, moderate, and severe malnutrition were at a substantially higher risk of migraines than those with optimal nutrition, as determined by the CONUT score (adjusted odds ratio [aOR]: 1.72, 95% confidence interval [CI]: 1.63-1.82; aOR: 5.09, 95% CI: 4.44-5.84; aOR: 3.24, 95% CI: 2.29-4.59, p < 0.001). Similarly, moderate (PNI: 35-38) and severe (PNI < 35) malnutrition were associated with heightened migraine prevalence (aOR: 4.80, 95% CI: 3.85-5.99; aOR: 3.92, 95% CI: 3.14-4.89, p < 0.001) compared to those with a healthy nutritional status. These findings indicate that both the CONUT and PNI may be used as predictors of migraine risk and underscore the potential of nutrition-oriented approaches in migraine treatment.

Preoperative prognostic nutrition index can independently predict the 6-month prognosis of elderly patients undergoing neurosurgical clipping for aneurysmal subarachnoid hemorrhage

The number of elderly patients with aneurysmal subarachnoid hemorrhage (aSAH) is increasing annually. The prognostic nutritional index (PNI) is used as a novel and valuable prognostic marker for various neoplastic diseases and other critical illnesses. This study aimed to identify the short-term prognostic value of preoperative PNI in elderly patients who underwent neurosurgical clipping for aSAH. This retrospective study included elderly patients with aSAH who underwent neurosurgical clipping from January 2018 to December 2020. Clinical variables and 6-month outcomes were collected and compared. Epidemiological data and effect factors of prognosis were evaluated. Multivariate logistic regression and receiver operating characteristics (ROC) curve analyses were used to evaluate the predictive value of preoperative PNI. Multiple logistic regression was performed to establish a nomogram. A total of 124 elderly patients were enrolled. Multivariate logistic regression analysis showed that preoperative PNI (odds ratio (OR), 0.779; 95% confidence interval (CI), 0.689-0.881; P < 0.001), Hunt-Hess grade (OR, 3.291; 95%CI, 1.816-5.966; P < 0.001), and hydrocephalus (OR, 9.423; 95%CI, 2.696-32.935; P < 0.001) were significant predictors. The area under the ROC curve of PNI was 0.829 (95% CI, 0.755-0.903; P < 0.001) with a sensitivity and specificity of 68.4% and 83.3%, respectively, and the cutoff value was 46.36. Patients with preoperative PNI of < 46.36 had a significantly unfavorable 6-months prognosis (F = 40.768, P < 0.001). Preoperative PNI is independently correlated with the 6-month prognosis in elderly patients who undergo neurosurgical clipping for aSAH.