Peer Review #1 of "Clinical significance of pretreatment prognostic nutritional index and lymphocyte-to-monocyte ratio in patients with advanced p16-negative oropharyngeal cancer—a retrospective study (v0.1)"

Background Systemic inflammation and nutritional status both play roles in the survival of cancer patients. Therefore, it is important to understand the effects of prognostic nutritional index (PNI) and lymphocyte-to-monocyte ratio (LMR) on the survival of patients with advanced p16-negative oropharyngeal cancer. Methods A total of 142 patients diagnosed with advanced p16-negative oropharyngeal cancer between 2008 and 2015 were enrolled in this study. All patients received primary treatment with definite concurrent chemoradiotherapy (CCRT). Optimal cutoff values for PNI and LMR were determined using receiver operating characteristic curves for survival prediction. Survival rates for different level of PNI and LMR were estimated and compared using Kaplan–Meier method and log-rank test to see if there were significant effects on these end points, including 5-year overall survival (OS), disease-specific survival (DSS) and disease-free survival (DFS) rates. The effects of PNI and LMR on survival were assessed using Cox regression model adjusted for other prognostic factors. Results The results showed the optimal cutoff values for PNI and LMR were 50.5 and 4.45, respectively. A high PNI (≧50.5) was significantly improved the 5-year OS. A low LMR (<4.45) was significantly associated with a poor 5-year DFS, DSS, and OS. In multivariate analysis, both PNI and LMR were independent prognosticators for 5-year OS. Conclusions Elevated pretreatment PNI and LMR are both favorable prognosticators in advanced p16-negative oropharyngeal cancer patients undergoing CCRT.

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

10.21203/rs.3.rs-463024/v1 ◽

2021 ◽

Author(s):

Miao He ◽

Qinghong Fan ◽

Yuhang Zhu ◽

Dexing Liu ◽

Xingxing Liu ◽

...

Keyword(s):

Retrospective Study ◽

Hospital Stay ◽

Nutritional Assessment ◽

Femoral Fractures ◽

Prognostic Nutritional Index ◽

Postoperative Hospital Stay ◽

Adverse Outcomes ◽

Perioperative Outcomes ◽

Nutritional Index ◽

Postoperative Intensive Care

Abstract Background The incidence of adverse perioperative outcomes in surgery for femoral fractures is quite high and is associated with malnutrition. This study aimed to identify independent factors and assess 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. Among 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 Nutritional assessment and appropriate intervention strategies on admission are necessary for patients with femoral fractures, and the PNI at admission may be a good nutritional assessment indicator.

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