Is the prognostic nutritional index (PNI) a useful predictive marker for postoperative complications after lung surgery?

Prognostic Nutritional Index and the Risk of Postoperative Complications After Spine Surgery: A Meta-Analysis

BACKGROUND

A low prognostic nutritional index (PNI) may reflect malnutrition, which has been associated with poor prognosis in patients with various clinical conditions. The aim of the systematic review and meta-analysis was to investigate the association between preoperative PNI and risk of postoperative complications in adult patients after spine surgery.

METHODS

An extensive search was conducted on PubMed, Embase, and Web of Science to identify relevant cohort studies. Random-effects models were employed to combine the findings, taking into account the potential influence of heterogeneity.

RESULTS

Ten cohort studies involving 3,249 patients receiving spine surgeries were included. Pooled results showed that a low preoperative prognostic nutritional index (PNI) was associated with an increased risk of overall postoperative complications in these patients (odds ratio [OR]: 1.82, 95% confidence interval [CI]: 1.42 to 2.34, P < 0.001; I2 = 49%). Specifically, a preoperative malnutrition as evidenced by a low PNI was associated with a higher incidence of postoperative delirium (OR: 2.36, 95% CI: 1.52 to 3.66, P < 0.001; I2 = 38%) and surgical site infection (OR: 1.41, 95% CI: 1.15 to 1.73, P = 0.001; I2 = 0%). Sensitivity analyses by excluding one study at a time did not significantly change the results (P all <0.05).

CONCLUSIONS

A preoperative low prognostic nutritional index (PNI) may be a risk factor of increased incidence of overall postoperative complications, postoperative delirium, and surgical site infection in adult patients after spine surgeries.

Investigation Of The Relationship Between Prognostic Nutrition Index And Mortality In Patients With Femur Fracture

Aim: The incidence of adverse postoperative outcomes in surgeries for femur fractures is high and is associated with malnutrition. In this study, it was aimed to determine the independent factors for 6-month survival in patients with femur fracture and to evaluate the predictive value of the prognostic nutrition index (PNI). Material and Method: One hundred and sixteen patients operated on only for femoral fracture were divided into survival and non-survival groups according to mortality.Demographic characteristics of the patients, operation data, fracture sites, need for intensive care unit and length of stay, postoperative hospital stay, and preoperative laboratory values, prognostic nutrition indices and mortality were evaluated. Results: Twenty-six (22.4%) of 116 patients who were operated for femoral fracture resulted in 6-month mortality. CRP, albumin, prealbumin, crp/albumin ratio and PNI values at admission were independent risk factors for postoperative mortality (p=0.014, p

The need for nutritional assessment and interventions based on the prognostic nutritional index for patients with femoral fractures: a retrospective study

Background

The incidence of adverse perioperative outcomes in surgery for femoral fractures is high and associated with malnutrition. Here, we identified independent factors and assessed the predictive value of the prognostic nutritional index (PNI) for perioperative adverse outcomes in patients with femoral fractures.

Methods

This retrospective study included 343 patients who underwent surgery for a single femur fracture. Demographic characteristics, surgery and anaesthesia records and blood test results at admission, 1 day postoperatively and before discharge were evaluated using logistic regression analysis. The discriminatory ability of the independent factors was assessed using the receiver operating characteristic curve analysis, and DeLong’s test was used to compare the area under the curve (AUC).

Results

Overall, 159 patients (46.4%) experienced adverse perioperative outcomes. Amongst these, 123 (35.9%) had lower limb vein thrombus, 68 (19.8%) had hospital-acquired pneumonia, 6 (1.7%) were transferred to the postoperative intensive care unit, 4 (1.2%) had pulmonary embolism, 3 (0.9%) died during hospitalisation and 9 (2.6%) had other adverse outcomes, including incision disunion, renal and liver function impairment, acute heart failure, acute cerebral infarction and stress gastroenteritis. The PNI at admission, age, postoperative hospital stay, time to admission, hypertension, combined injures and surgery type were independent factors for adverse perioperative outcomes. Based on the AUC (PNI at admission: 0.772 [0.723–0.821], P < 0.001; age: 0.678 [0.622–0.734], P < 0.001; postoperative hospital stay: 0.608 [0.548–0.668], P = 0.001; time to admission: 0.585 [0.525–0.646], P = 0.006), the PNI at admission had optimal discrimination ability, indicating its superiority over other independent factors (age vs. PNI at admission, P = 0.002; postoperative hospital stay vs. PNI at admission, P < 0.001; time to admission vs. PNI at admission, P < 0.001).

Conclusions

Patients with femoral fractures require a nutritional assessment and appropriate nutritional intervention at admission, and that the PNI value at admission may be a good nutritional assessment indicator.

Normal reference intervals of prognostic nutritional index in healthy adults: A large multi-center observational study from Western China

Background

It has been widely reported that the prognostic nutritional index (PNI) played a pivotal role in nutritional assessment of surgical patients and tumor prognosis. In order to improve the accuracy of evaluation in Western China, we established reference intervals (RIs) of PNI in healthy controls.

Methods

A retrospective cohort study on healthy ethnic Han adults (18–79 years) was conducted to explore the influences of age, gender, study centers, and instruments on PNI and to establish RIs. The data came from a healthy routine examination center database and laboratory information system (LIS) of four centers in Western China, and there were 200 persons selected randomly for verification of RIs.

Results

Five thousand eight hundred and thirty‐nine healthy candidates were enrolled. PNI showed a marked gender dependence, and males had significantly higher PNI than females across all ages (p < 0.01). We found that PNI is significantly different between age groups (p < 0.01), the value of PNI tended to decrease with age increasing. There is also an obvious influence of centers and instruments on PNI (p < 0.01).

Conclusions

We established reference intervals of PNI in healthy Han Chinese population in Western China and validated successfully. Further established RIs will lead to better standardizations of PNI for clinical applications.