Preoperative systemic immune-inflammation index and prognostic nutritional index predict prognosis of patients with pulmonary neuroendocrine tumors after surgical resection

Diagnostic value of systemic immune-inflammation index and prognostic nutritional index combined with CEA in gastric cancer with lymph node metastasis

Background

Carcinoembryonic antigen (CEA), systemic immune-inflammation index(SII), and prognostic nutritional index (PNI) are diagnostic markers for cancer, but their combined significance in gastric cancer (GC) with lymph node metastasis remains unclear. The aim of this study was to evaluate the association between these serum biomarkers and lymph node metastasis in patients with GC.

Methods

Records of patients with GC were reviewed retrospectively. Univariate and multivariate logistic regression were performed to examine the association between tumor markers, serum biomarkers and lymph node metastasis in GC. Based on the results of multivariate regression, a nomogram was developed and verified.

Results

Of the 395 patients aged 68.5 ± 9.1 years, 192 (48.6%) were diagnosed with lymphatic node metastasis. After adjusting for confounding factors, CEA (Odd ratio (OR):2.21; 95%CI: 1.17-3.81) and SII (OR:1.02; 95%CI: 1.01-1.04) was identified as significant risk factors, while PNI (OR:0.90; 95%CI: 0.85~0.96) was a protective factor for lymph node metastasis. The established nomogram by incorporating CEA, SII, PNI, differentiation, and tumor diameter can effectively predict lymph node metastasis in GC.

Conclusion

CEA, SII, PNI, differentiation, and tumor diameter were significantly associated with lymph node metastasis in patients with GC, and the combination of CEA, SII, PNI, differentiation, and tumor diameter has a better diagnostic value than either index alone.

Impact of preoperative inflammatory biomarkers on postoperative pneumonia and one-month pulmonary imaging changes after surgery for non-small cell lung cancer

Background

This study examined the effectiveness of preoperative inflammatory markers in predicting the occurrence of postoperative pneumonia (POP) and clinical outcomes based on chest computed tomography (CT) images in patients who underwent surgical resection for non-small cell lung cancer (NSCLC).

Methods

This retrospective study included NSCLC patients who underwent lung cancer surgery at The First People's Hospital of Jiande between January 2019 and October 2023. Data on demographic characteristics, preoperative inflammatory biomarkers, surgical approach and duration, postoperative outcomes, and CT findings 1 month postoperatively were collected and analyzed. The effectiveness of preoperative inflammatory markers in predicting POP and clinical outcomes 1 month after surgical resection was assessed using propensity score matching.

Results

Among 568 patients, 72 (12.7%) had POP. After matching, 252 patients (POP group: 66; non-POP group: 186) were included in the analysis. The systemic immune-inflammation index (SII) and platelet-to-lymphocyte ratio (PLR) were significantly higher in the POP group than in the non-POP group (433.53 vs. 323.75, P = 0.001; 126.42 vs. 103.64, P < 0.001). The length of hospital stay and the percentage of patients who improved clinically based on chest CT findings 1 month after surgery were significantly higher in the POP group than in the non-POP group (11 days vs. 9 days, P = 0.008; 77.3% vs. 59.7%, P = 0.033). Multivariate analysis showed that PLR and the lymphocyte-to-monocyte ratio (LMR) were independent predictors of POP (AUC of 0.780 and 0.730, both at P < 0.001). However, there were no significant differences in postoperative radiographic outcomes among patients stratified by risk of POP.

Conclusion

PLR and LMR accurately predict POP in surgical patients with NSCLC. Nonetheless, these ratios may not significantly predict radiographic outcomes 1 month after surgical resection.

Comparison of Prognostic Values of Seven Immune Indexes in Advanced Non-Small-Cell Lung Cancer Treated with Nivolumab: How Effective Can They Be Regarding Our Treatment Decisions?

Background and Objectives: In this study, we evaluated the impact of seven immune indexes on treatment response and survival outcomes in advanced non-small-cell lung cancer (NSCLC) patients receiving second-line and subsequent nivolumab treatment under real-life conditions. Materials and Methods: The pan-immune inflammation value (PIV), systemic immune inflammation value (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), derived neutrophil-to-lymphocyte ratio (d-NLR), and prognostic nutritional index (PNI) were calculated. All immune indexes were classified as low and high based on cut-off values. Kaplan-Meier and Cox hazard models were used for survival analysis. Results: The median follow-up was 22.0 months (6.0-96.0). The median overall survival (OS) was 30.0 months and the median progression-free survival (PFS) was 7.0 months. In the univariate analysis, comorbidity (p = 0.03) and nivolumab use for more than eight cycles (p < 0.0001) were associated with an increase in PFS, while smoking history (p < 0.005) and d-NLR (p < 0.05) were more effective regarding OS. Patients who received more than eight cycles of nivolumab had longer median PFS (4 vs. 19 months, p < 0.001) and OS (23 vs. 43 months, p < 0.001). We found longer median OS in the PLR (45.7 vs. 75.4 months; p = 0.05), PIV (53.0 vs. 66.4 months; p = 0.19), SII (50.0 vs. 71.9 vs. months, p = 0.19), and NLR (49.9 vs. 74.55 months, p = 0.10) indexes in nivolumab long-term users (high vs. low groups, respectively). In short-term users of nivolumab, only d-NLR median OS (high vs. low, 19 vs. 75.2 months, p = 0.07) was different. Complete and partial response rates to nivolumab treatment were higher in the PNI-high group (p = 0.04). Conclusions: In these real-life data, we determined that the PLR, PIV, SII, and NLR indexes were effective in the prognosis of patients who received PD1 inhibitor nivolumab for a long time, and the d-NLR index was effective in those who developed progression in a short time. We found that the PNI was effective in patients who responded well to ICI treatment.

Actuality and underlying mechanisms of systemic immune-inflammation index and geriatric nutritional risk index prognostic value in hepatocellular carcinoma

This editorial contains comments on the article "Correlation between preoperative systemic immune inflammation index, nutritional risk index, and prognosis of radical resection of liver cancer" in a recent issue of the World Journal of Gastrointestinal Surgery. It pointed out the actuality and importance of the article and focused primarily on the underlying mechanisms making the systemic immune-inflammation index (SII) and geriatric nutritional risk index (GNRI) prediction features valuable. There are few publications on both SII and GNRI together in hepatocellular carcinoma (HCC) and patient prognosis after radical surgery. Neutrophils release cytokines, chemokines, and enzymes, degrade extracellular matrix, reduce cell adhesion, and create conditions for tumor cell invasion. Neutrophils promote the adhesion of tumor cells to endothelial cells, through physical anchoring. That results in the migration of tumor cells. Pro-angiogenic factors from platelets enhance tumor angiogenesis to meet tumor cell supply needs. Platelets can form a protective film on the surface of tumor cells. This allows avoiding blood flow damage as well as immune system attack. It also induces the epithelial-mesenchymal transformation of tumor cells that is critical for invasiveness. High SII is also associated with macro- and microvascular invasion and increased numbers of circulating tumor cells. A high GNRI was associated with significantly better progression-free and overall survival. HCC patients are a very special population that requires increased attention. SII and GNRI have significant survival prediction value in both palliative treatment and radical surgery settings. The underlying mechanisms of their possible predictive properties lie in the field of essential cancer features. Those features provide tumor nutrition, growth, and distribution throughout the body, such as vascular invasion. On the other hand, they are tied to the possibility of patients to resist tumor progression and development of complications in both postoperative and cancer-related settings. The article is of considerable interest. It would be helpful to continue the study follow-up to 2 years and longer. External validation of the data is needed.

Systemic immune-inflammation index predicts survival in patients with resected lung invasive mucinous adenocarcinoma

BACKGROUND

The prognostic-related factors of lung invasive mucinous adenocarcinoma(IMA) are unclear because of its rarity. Various inflammation-based biomarkers were reported to predict the survival of malignant diseases. This study aims to explore the prognostic significance of the systemic immune-inflammation index(SII), which is calculated using absolute platelet, neutrophil, and lymphocyte counts, among patients with invasive mucinous adenocarcinoma.

METHODS

From January 2015 to December 2019, 106 patients were identified as having IMA accepted radical resection and enrolled in the retrospective study. We analyzed the overall survival and disease-free survival using the Kaplan-Meier method and log-rank test. Receiver operating characteristic curve was used to find the optimal SII cut-off values for survival. A Cox regression model was carried out for multivariable analyses.

RESULTS

The study cohort included 53 men and 53 women, with a mean age of 60 years (range 29 to 78 years, median 61 years). The median SII measured before surgery was 378.47 (range: 79.87-1701.97). ROC analyses revealed that the optimal cut-off values of SII was 379.43 for predicting both OS and DFS. An elevated SII (≥379.43) was observed in 52 patients (49.1 %), and was associated with younger age (P = 0.02), advanced T staging (P = 0.042), lymph node metastasis (P = 0.018) and pneumonic-type IMA (P = 0.018). Multivariable analysis showed that SII and pneumonic-type IMA were independent prognostic predictors of OS and DFS in radically resected IMA patients (P < 0.05).

CONCLUSION

High SII is correlated with worse outcome and can be a novel prognostic biomarker for IMA patients accepted radical surgery.

Peripheral blood inflammatory biomarkers dynamics reflect treatment response and predict prognosis in non-small cell lung cancer patients with neoadjuvant immunotherapy

Neoadjuvant immunotherapy has significantly changed the therapeutic approach for treating patients with surgically resectable non-small cell lung cancer (NSCLC). Here, peripheral blood inflammation-based biomarkers as well as previously less focused eosinophil fraction, modified Glasgow prognostic score (mGPS), and prognostic nutritional index (PNI) were systematically included to comprehensively analyze their potential in predicting neoadjuvant immunotherapy efficacy and prognosis. We enrolled 189 patients (94 in training and 95 in validation cohorts) with stage I-III B surgically resectable NSCLC treated with neoadjuvant immunotherapy from the National Cancer Center of China. Baseline and post-treatment eosinophils fraction, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), monocyte-to-lymphocyte ratio (MLR), PNI, mGPS, and their changes were calculated and analyzed for correlation with neoadjuvant immunotherapy efficacy and prognosis. In patients in the major pathological response (MPR) group, the post-treatment eosinophil fraction was significantly high, and NLR, PLR, SII, and MLR were significantly lower compared to the non-MPR group in both the training and validation cohorts. The receiver operating characteristic curve showed that post-treatment, eosinophil fraction and SII and their changing were two of the most important factors. Univariate and multivariate logistic regression analyses showed that post-treatment eosinophil fraction, SII, mGPS, and ΔSII could independently predict MPR in patients treated with neoadjuvant immunotherapy. Survival analysis showed a significant correlation between high post-treatment NLR, PLR, SII, mGPS, and their changes in ΔNLR and ΔSII elevation with poor overall survival and event-free survival of patients. Our results suggest that inflammatory biomarkers could predict the patient's response to neoadjuvant immunotherapy and prognosis.

Prognostic Value of Controlling Nutritional Status Score in Advanced Hypopharyngeal Cancer

OBJECTIVE

The purpose of this study was to investigate the prognostic significance of the preoperative controlling nutritional status (CONUT) score in patients with resectable advanced hypopharyngeal cancer.

METHODS

This retrospective study included 113 advanced hypopharyngeal cancer patients who underwent curative resection in our hospital from 2013 to 2017. The association between the CONUT score and clinicopathological variables was evaluated. The association between CONUT score and survival was analyzed using Kaplan-Meier survival curves and Cox regression. The efficacy of the CONUT score and other immune-nutritional markers to predict prognosis was compared using a time-dependent receiver operating characteristic (ROC).

RESULTS

Patients were divided into the high-CONUT score group (≥3) and the low-CONUT score group (≤2) according to ROC analysis. The CONUT score was associated with body mass index (p = 0.047), monocyte (p = 0.021), pharyngocutaneous fistula (p = 0.045), flap repairment (p = 0.034), tumor (T) classification (p = 0.034), node (N) classification (p = 0.036), subsite of tumor (p = 0.035), and negative pathologic factors (p < 0.001). Tumor, node, metastasis (TNM) stage, negative pathologic factors, adjuvant radiotherapy, postoperative chemoradiotherapy, and CONUT score were independent prognostic factors for survival. Patients with a higher CONUT score had worse overall survival (OS) (hazard ratio: 2.76, 95% confidence interval [CI]: 1.44-5.29, p = 0.002) and disease-free survival (hazard ratio: 2.51, 95% CI: 1.28-4.91, p = 0.007). The area under the curve of the CONUT score (0.799) to predict 5-year OS was greater than those of Preoperative Nutritional Index (0.769), platelet-to-lymphocyte ratio (0.643), neutrophil-to-lymphocyte ratio (0.565), and lymphocyte-to-monocyte ratio (0.577).

CONCLUSION

The CONUT score is a prognostic marker for patients with resectable advanced hypopharyngeal cancer.

LEVEL OF EVIDENCE

3 Laryngoscope, 133:2613-2620, 2023.

Preoperative controlling nutritional status (CONUT) score is an independent prognostic factor in cholangiocarcinoma patients treated with hepatectomy

Background

Nutritional status is one of the important factors determining the short- and long-term outcomes of surgery in cancer. This study aimed to assess the prognostic role of preoperative controlling nutritional status (CONUT) score in intrahepatic cholangiocarcinoma (iCCA) patients.

Methods

A total of 101 iCCA patients who underwent hepatectomy between 2015 and 2018 at the Srinagarind Hospital, Khon Kaen University, were included in this retrospective study. Patients were classified according to the CONUT score. Univariate and multivariate analyses were performed to determine the correlation between clinicopathological features and overall survival.

Results

Patients were categorized into normal nutrition (n = 40 or 39.5%), mild (n = 54 or 53.5%), and moderate-severe malnutrition (n = 7). Patients with high CONUT scores had significantly shorter survival (HR 2.55, 95% CI 1.04-6.25, p = 0.04). In multivariable analysis, tumor size (HR = 2.58, p < 0.01), the growth pattern of mass forming combined with periductal (HR = 4, p < 0.01), lymph node metastasis (HR = 7.20, p < 0.01) and high CONUT score (HR = 4.71, p = 0.01) were independent factors for poor survival of iCCA patients.

Conclusion

The preoperative CONUT score is a simple prognostic factor to predict the outcomes of iCCA patients undergoing hepatectomy.

Association of prognostic nutritional index with prognostic outcomes in patients with glioma: a meta-analysis and systematic review

Background

The potential link between Prognostic Nutritional Index (PNI) and prognosis in patients with glioma remains uncertain. This meta-analysis was conducted to assess the clinical value of PNI in glioma patients by integrating all available evidence to enhance statistical power.

Method

A systematic search of databases including Medline, EMBASE, Google Scholar, and Cochrane Library was conducted from inception to January 8, 2023 to retrieve all pertinent peer-reviewed articles. The primary outcome of the study was to examine the association between a high PNI value and overall survival, while secondary outcome included the relationship between a high PNI and progression-free survival.

Results

In this meta-analysis, we included 13 retrospective studies published from 2016 to 2022, which analyzed a total of 2,712 patients. Across all studies, surgery was the primary treatment modality, with or without chemotherapy and radiotherapy as adjunct therapies. A high PNI was linked to improved overall survival (Hazard Ratio (HR) = 0.61, 95% CI: 0.52 to 0.72, p < 0.00001, I2 = 25%), and this finding remained consistent even after conducting sensitivity analysis. Subgroup analyses based on ethnicity (Asian vs. non-Asian), sample size (<200 vs. >200), and source of hazard ratio (univariate vs. multivariate) yielded consistent outcomes. Furthermore, patients with a high PNI had better progression-free survival than those with a low PNI (HR=0.71, 95% CI: 0.58 to 0.88, p=0.001, I2 = 0%).

Conclusion

Our meta-analysis suggested that a high PNI was associated with better overall survival and progression-free survival in patients with glioma. These findings may have important implications in the treatment of patients with glioma. Additional studies on a larger scale are necessary to investigate if integrating the index into the treatment protocol leads to improved clinical outcomes in individuals with glioma.

Systematic review registration

[https://www.crd.york.ac.uk/prospero/], identifier [CRD42023389951].

Role of systemic inflammatory factors in gastroenteropancreatic neuroendocrine tumors (GEP-NETs) treated with peptide receptor radionuclide therapy (PRRT): From biology to theragnosis

AIM

Systemic inflammatory factors have been validated as indicators of ongoing systemic inflammation that could be predictive markers of poor prognosis for oncological outcomes. However, the prognostic impact of systemic inflammation markers is unknown in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs) treated with peptide receptor radionuclide therapy (PRRT).

METHODS

We conducted an observational, retrospective, multicentric study of 40 patients with GEP or unknown origin NETs treated with PRRT between 2016 and 2020. The systemic inflammatory markers were calculated as follows: neutrophil to lymphocyte ratio (NLR)=neutrophil count/lymphocyte count, monocyte to lymphocyte ratio (MLR)=monocyte count/lymphocyte count, platelet to lymphocyte ratio (PLR)=platelet count/lymphocyte count, albumin to lymphocyte ratio (ALR)=albumin levels/lymphocyte count and derived Neutrophil to Lymphocyte ratio (dNLR)=neutrophil count/(leucocytes count - neutrophils count). Baseline analysis and after the second dose were used for the calculation of different ratios.

RESULTS

The median age was 63 years (range 41-85), 55% were male. The baseline cut-off values for NLR were 2.61, for MLR 0.31, for PLR 110.14, for ALR 2.39 and for dNLR 1.71. The cut-off values after the 2° dose were, for NLR 2.3, for MLR 0.3, for PLR 131.61, ALR 4.16, and dNLR 1.48. Median progression-free survival (PFS) was 21.7 months (95% CI 10.7-32.8 months) and overall survival (OS) was 32.1 months (95% CI 19.6-44.7 months), PFS was shorter in patients with elevated NLR (p=0.001), ALR (0.03), and dNLR (p=0.001) in baseline analysis. DCR was 81% and ORR 18%.

CONCLUSIONS

In GEP or unknown origin NETs treated with PRRT, we have identified the predictive and prognostic impact of baseline systemic inflammatory factors.

Could systemic immune inflammation index be a new parameter for diagnosis and disease activity assessment in systemic lupus erythematosus?

PURPOSE

Systemic immune inflammation index (SII) has been used as a marker of inflammatory status in various diseases, but its role in systemic lupus erythematosus (SLE) is unknown. We aimed to investigate the role of SII in SLE and its association with disease activity and renal involvement.

METHODS

In this retrospective study, 76 patients with SLE were compared with 76 age- and gender-matched healthy control group in terms of SII, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR). SLE Disease Activity Index 2000 system (SLEDAI-2 K) was used to divide the SLE patients into an inactive group (SLEDAI-2 K < 9) and an active group (SLEDAI-2 K ≥ 9). Correlations between the ratios and both disease activity and renal involvement were analyzed.

RESULTS

SLE patients had a higher level of SII compared with controls. The ability of SII in predicting SLE (AUC = 0.626) was lower than NLR (AUC = 0.723) and PLR (AUC = 0.666). SII was positively correlated with C-reactive protein (r = 0.288. p = 0.01), but no association between SII and SLEDAI-2 K scores was found. Significantly higher values of NLR, but not SII, were detected in patients with nephritis (p = 0.04). The best NLR cut-off value to predict SLE patients with nephritis was 2.32, with 78.5% sensitivity and 56.2% specificity.

CONCLUSION

For the first, we demonstrated that SII level was elevated in patients with SLE. However, NLR is a better marker than SII in predicting SLE and could serve as an indicator of nephritis. Larger-scale studies should be carried out to confirm our results.

The predictive value of the preoperative systemic immune-inflammation index in the occurrence of postoperative pneumonia in non-small cell lung cancer: A retrospective study based on 1486 cases

BACKGROUND

To investigate the correlation between the preoperative systemic immune-inflammation index (pSII) and postoperative pneumonia (POP) in surgical non-small cell lung cancer patients.

METHODS

Patients who underwent lung cancer surgery at West China Hospital of Sichuan University were retrospectively included. The indicators were collected, including basic information of patients, surgery-related variables and POP rate. The predictive value of the pSII in the occurrence of POP was analyzed.

RESULTS

A total of 1486 patients (male: 748, 50.3%; female: 738, 49.7%; mean age: 58.2 ± 9.7 years; median age: 59 years old, interquartile range: 51-65 years old) were finally included in the study, of which 142 patients had POP with an incidence of 9.5% (142/1486), 9.2% (69/748) in males, and 9.9% (73/738) in females. The proportion of patients with diabetes in the pneumonia group was significantly higher than that in the nonpneumonia group (9.8%, 14/142 vs. 5.6%, 75/1344, p = 0.041). Compared with the nonpneumonia group, the level of the preoperative body mass index (24.2 [21.9, 26.1] vs. 23.1 [21.1, 25.2], p = 0.003) and SII (487 [350, 673] vs. 345 [230, 500], p < 0.001) in the pneumonia group were significantly higher. Multiple factor analysis showed that the pSII (odds ratio: 1.001, 95% confidence interval: 1.000-1.001, p < 0.001) was an independent risk factor for POP (487 [350, 673] vs. 345 [230, 500], p < 0.001); receiver operating characteristic curve analysis showed that the pSII was effective in predicting POP (area under curve: 0.751, p < 0.001).

CONCLUSION

The pSII is closely related to and can effectively predict the occurrence of POP after lung cancer surgery.

The Predictive Value of Systemic Immune-Inflammation Index and Symptom Severity Score for Sepsis and Systemic Inflammatory Response Syndrome in Odontogenic Infections

Acute Odontogenic Infections (OI) are the leading cause of emergency visits and hospitalizations to the maxillofacial department, and may induce systemic inflammatory complications. Increasing numbers of OI patients need extended hospitalizations, various treatments, and intensive care. The Symptom Severity score (SS) helps doctors assess the likelihood of infection and admission complications. Systemic Immune-inflammation Index (SII) is a biomarker-based inflammatory prognosis score. It was hypothesized that greater SII and SS values might suggest a higher risk for sepsis and systemic inflammatory response syndrome (SIRS). Therefore, this research aims to discover whether SII and SS scores can reliably predict odontogenic infection severity and prognosis, and if they can be used to predict the development of SIRS and sepsis in OI using admission features. The study was designed as a retrospective cohort, with patients' data being retrieved from medical records between January 2017 to April 2022. A total of 108 OI patients were matched 1:1 as low-severity and high-severity groups. Most individuals with severe infections had diabetes and smoking as comorbidities. Severe patients had longer hospital stays (12.0 days vs. 4.1 days), although mortality rates did not significantly differ. A total of 11.1% lower-severity patients (Group A) had SIRS during hospitalization, compared to Group B with 25.9%. Group A had 7.4% of patients that developed sepsis compared to Group B's rate of 22.2%. The correlation between OI's SS and SII index values was positive and statistically significant (r = 0.6314). The total SII index mean was 1303, whereas the mean values by severity were 696.3 in Group A and 2312.4 in Group B. Group A's mean SS score was 6.1, while Group B's was 13.6. According to the calculated AUC plots, SII and SS scores were accurate predictors of sepsis and SIRS development using OI admission parameters. The adjusted odds ratio for SIRS in OI patients was 2.09, and 2.27 for sepsis. Medical professionals and dentistry teams should be encouraged to use the SII and SS scores to diagnose and anticipate sepsis and SIRS, hence improving disease management decisions.

Nomogram based on prognostic nutrition index and Chest CT imaging signs predicts lymph node metastasis in NSCLC patients

OBJECTIVE

To establish and validate a model capable of predicting lymph node metastasis (LNM) of non-small cell lung cancer (NSCLC) patients.

METHODS

Preoperative clinical and CT imaging data on patients with NSCLC undergoing surgery were retrospectively analyzed. A model was developed using a training cohort of 290 patients. The univariate analysis followed by dichotomous logistic regression was performed to estimate different risk factors of lymph node metastasis, and a nomogram was constructed. Using another testing cohort of 120 patients, the performance of the nomogram was validated using several evaluation methods and indices and evaluated including via the area under the curve (AUC), calibration curve, Hosmer-Lemeshow test and decision curve analysis (DCA).

RESULTS

CT-based imaging signs were important independent risk factors for lymph node metastasis in NSCLC patients. The possible risk factors also included four other independent risk factors through dichotomous logistic regression, i.e., age, SIRI, PNI and CEA, which were filtered and included in the nomogram. Nomogram yields AUC values of 0.828 [95% confidence interval (CI): 0.778-0.877] in the training cohort and 0.816 (95% CI: 0.737-0.895) in the validation cohort, respectively. The calibration curves showed high agreement in both the training and validation cohorts. At the threshold probability of 0-0.8, the nomogram increases the net outcomes compared to the treat-none and treat-all lines in the decision curve.

CONCLUSIONS

The nomogram based on the PNI and CT images signs holds promise as a novel and accurate tool for predicting the LNM in NSCLC patients and guiding intraoperative lymph node dissection.

Preoperative controlling nutritional status (CONUT) score is a prognostic factor for early-stage cervical cancer patients with high-risk factors

OBJECTIVE

The goal of the study was to confirm whether preoperative controlling nutritional status (CONUT) was a prognostic factor in early-stage cervical cancer patients with high-risk factors after surgery and postoperative concurrent chemoradiotherapy (CCRT).

METHODS

Between 2004 and 2015, a total of 698 patients who were treated with surgery and postoperative CCRT were included in this retrospective study. The prescribed dose for postoperative radiotherapy was 45-50.4 Gy in 25-28 fractions and the concurrent chemotherapy regimen contained cisplatin or paclitaxel. Based on the receiver operating characteristic (ROC) analysis, the patients were classified into low (<3) and high (≥3) CONUT groups.

RESULTS

Of all study patients, 471 (67.5%) patients were included in the low CONUT group. The low CONUT group had significantly better 5-year disease-free survival (DFS) and overall survival (OS) than the high CONUT group (p<0.001 and p = 0.001, respectively). A high CONUT score was significantly associated with lymph node metastasis, parametrial invasion, and poorer nutritional status, including lower body mass index (BMI) and lower prognostic nutritional index (PNI) score (p<0.05, respectively). The CONUT score was an independent predictor of DFS and OS in multivariate analysis. Notably, the CONUT score still efficiently stratified DFS in the high PNI score group (P = 0.001).

CONCLUSIONS

The preoperative high CONUT scores indicated poor prognosis for early-stage cervical cancer patients with high-risk factors treated with surgery and postoperative CCRT. In clinical practice, patients with high CONUT score should be considered to receive consolidation chemotherapy.

Systemic immune-inflammation index independently predicts poor survival of older adults with hip fracture: a prospective cohort study

Background

The systemic immune-inflammation index (SII), based on peripheral platelet, neutrophil and lymphocyte counts, has been proven to be a promising prognostic indicator in various diseases. Hip fracture is a common injury among the older adults, and has become a global public health problem with high mortality and disability rates. However, the relationship between SII and the prognosis of hip fracture is not yet well-known. The aim of the this study was to explore the predictive value of SII in older adults with hip fracture undergoing surgery.

Methods

This was a prospective cohort study performed from January 2014 to December 2018 at a orthopaedic center, China. The SII was calculated as platelet×neutrophil/lymphocyte counts. Univariable and multivariable Cox proportional hazard models were used to assess the association between SII and all-cause mortality.

Results

A total of 290 older adults with hip fracture were included, and the mean (SD) age was 77.6 (8.6) years, and 189 (65.2%) were female. The median (IQR) SII was 759.4 (519.0–1128.7) × 10⁹/L. After a median follow-up time of 33.4 months, 13 (4.5%), 26 (9.0%) and 54 (18.6%) patients died within the 30-day, 1-year and last follow-up, respectively. Multivariable Cox analysis revealed that each increase of 100 units of SII was associated with a 8% increased hazard of death at 1-year follow-up (HR = 1.08, 95% CI: 1.01–1.17, p = 0.033), and 9% increased hazard of death at last follow-up (HR = 1.09, 95% CI: 1.03–1.15, p = 0.003).

Conclusions

SII is associated with poor all-cause mortality in older adults with hip fracture undergoing surgery, and deserves further investigation and application in clinical practice.

Controlling Nutritional Status (CONUT) Score as a New Indicator of Prognosis in Patients With Hilar Cholangiocarcinoma Is Superior to NLR and PNI: A Single-Center Retrospective Study

Background

Currently, many nutritional indicators, including controlling nutritional status score (CONUT), can be used to assess a patient’s nutritional status and have been reported as reliable predictors of multiple malignancies. However, the value of CONUT score in predicting postoperative outcomes in patients with hilar cholangiocarcinoma has not been explored. In this study, its predictive value will be discussed and compared with the known predictors the neutrophil lymphocyte ratio (NLR) and prognostic nutritional index (PNI).

Methods

Preoperative CONUT scores, PNI and NLR levels of 94 Hilar cholangiocarcinoma (HCCA) patients who underwent radical-intent resection of hepatobiliary surgery in our hospital from March 2010 to April 2019 were retrospectively collected and analyzed. They were grouped according to their optimal cutoff value and the prognostic effects of patients in each group were compared respectively.

Results

CONUT^high was more frequent in patients with Clavien–Dindo classification of ≥IIIa (P = 0.008) and Bile leakage presence (P = 0.011). Kaplan-Meier curves analyzing the relationship between CONUT, PNI, and NLR values and HCCA patient survival (including total survival (OS) and recurrence-free survival (RFS) showed significant differences between groups (P <0.001). Meanwhile, multi-factor analysis found that Degree of cure, PNI, NLR, and preoperative CONUT score were independent prognostic factors for OS and RFS. The predictive power of CONUT score was higher than that of NLR and PNI based on time-dependent receiver operating Characteristic (ROC) analysis and the net reclassification index (NRI) and integrated discriminatory index (IDI) values (P < 0.05).

Conclusion

CONUT score may be of some clinical reference value in evaluating postoperative prognosis of HCCA patients.

Prognostic value of prognostic nutritional index in nasopharyngeal carcinoma: A meta-analysis containing 4511 patients

OBJECTIVES

The prognostic nutritional index (PNI) is an index reflecting the nutritional and inflammatory status of patients and is explored for prognosis in nasopharyngeal carcinoma (NPC). However, the data are conflicting. In the current study, a meta-analysis was performed to comprehensively clarify the association between PNI and prognosis of NPC.

MATERIALS AND METHODS

PubMed, Web of Science, the Cochrane library, China National Knowledge Infrastructure (CNKI), and Wanfang database were searched up to July 25, 2020. Hazard ratio (HR) and with 95% confidence interval (CI) were calculated to assess the impact of PNI on the survival outcomes of patients with NPC.

RESULTS

A total of 10 studies containing with 4511 patients were identified. The pooled results showed that NPC patients with a low PNI would have a worse overall survival (OS) (HR = 1.89, 95%CI = 1.59-2.25, p < 0.001), distant metastasis-free survival (DMFS) (HR = 2.01. 95%CI = 1.66-2.43, p < 0.001), progression-free survival (PFS) (HR = 1.59, 95%CI = 1.32-1.91, p < 0.001), and locoregional recurrence-free survival (LRRFS) (HR = 1.51, 95%CI = 1.04-2.21, p = 0.032). Subgroup analysis showed that the low PNI was still a significant prognostic factor for OS and DMFS.

CONCLUSIONS

Our meta-analysis demonstrated that a low PNI was significantly correlated to poor OS, DMFS, PFS, and LRRFS in NPC. Therefore, we suggest PNI applied as an indicator for prediction of the short- and long- term survival outcomes in patients with NPC.