Construction of artificial neural network (ANN) based on predictive value of prognostic nutritional index (PNI) and neutrophil-to-lymphocyte ratio (NLR) in patients with cervical squamous cell carcinoma

To explore the analytical worth of prognostic nutritional index (PNI) and neutrophil-to-lymphocyte ratio (NLR) in patients with cervical squamous cell carcinoma. The clinical data of 539 patients with cervical cancer in the Affiliated Tumor Hospital of Nantong University from December 2007 to October 2016 were analyzed retrospectively. The ROC is used to select the best cutoff values of PNI and NLR, which are 48.95 and 2.4046. Cox regression analysis was used for univariate and multivariate analysis. Survival differences were assessed by Kaplan-Meier (KM) survival method. Finally, a 3-layer artificial neural network (ANN) model is established. In cervical squamous cell carcinoma, the KM survival curve showed that the overall survival (OS) rate of high-level PNI group was significantly higher than that of low-level PNI group (P < .001), while the OS rate of low-level NLR group was significantly higher than that of high-level NLR group (P = .002). In non-squamous cell carcinoma, there was no significant difference in OS between the 2 groups (P > .005). According to Cox multivariate analysis, preliminary diagnosed PNI and NLR were independent prognostic factors of cervical squamous cell carcinoma (P < .001, P = .008), and pathological type and International Federation of Gynecology and Obstetrics (FIGO) stage also had a certain impact on tumor progression (P = .042, P = .048). The increase of PNI and the decrease of NLR will help patients with cervical squamous cell carcinoma live longer. ANN showed that PNI and NLR were of great importance in predicting survival. Preoperative PNI and NLR are independent predictors of cervical squamous cell carcinoma patients related to clinicopathological features, and have particular value in judging prognosis.

Impact of the Prognostic Nutritional Index on Postoperative Outcomes in Patients Undergoing Heart Surgery

Background Malnutrition is associated with adverse outcomes in patients undergoing cardiac surgery. The prognostic nutritional index (PNI) is a validated tool for assessing nutritional status in cardiovascular diseases. This study aims to evaluate the prognostic value of PNI in heart surgery patients, including mortality rate, length of hospital and ICU stays, and infection rate, while investigating correlations with demographic and clinical characteristics. Methods A retrospective cross-sectional study was conducted in King Fahad Armed Forces Hospital in Jeddah, Saudi Arabia. Data from electronic medical records of patients undergoing heart surgery between 2019 and 2021 were retrospectively reviewed. The study involved patients with valvular heart disease, including those requiring concomitant procedures. Statistical analysis was conducted using t-tests, logistic regression, and Kaplan-Meier survival curve analysis. Results This study included 264 individuals with a mean age of 56.48±12.11 years. The prevalence of low PNI was 50.80% and high PNI was 49.20%. No significant differences in PNI levels were found between individuals with various clinical conditions, except for target vessel revascularization. The mortality rate was slightly higher in the low PNI group, but not statistically significant. Significant differences in laboratory findings were observed between high and low PNI groups. Individuals with low PNI had longer hospital stays. Conclusion Lower PNI levels consistently correlate with longer hospital stays and higher morbidity and mortality rates, suggesting the potential importance of PNI and other nutritional markers in assessing risk and predicting outcomes in cardiac surgery patients.

The Effect of Prognostic Nutritional Index in Postoperative Infection Following Lobectomy in Non-Small Cell Lung Cancer Patients

Background The prognostic nutritional index (PNI) is a valuable marker for evaluating the nutritional status associated with postoperative complications and the prognosis of patients with cancer. However, the role and clinical value of PNI in infection after lung cancer surgery remains unclear. This study examined the association between PNI and infection after lobectomy for lung cancer, focusing on the predictive value of PNI. Methods We conducted this retrospective cohort study on 139 patients with non-small cell lung cancer (NSCLC) who underwent surgery between September 2013 and December 2018. Two groups were composed according to their PNI values (≥ 50 or <50 ), and the relationship was assessed with infection after lobectomy. Results Only PNI values, atelectasis, and prolonged air leaks were significantly associated with the development of infection. The median preoperative PNI was 52.97±5.69. Postoperative infection was seen in patients (15.5%) with PNI≥ 50 and 38.1% in patients with PNI <50. The mean PNI in patients with postoperative infection, empyema, and prolonged air leakage was lower than in patients without these conditions. Conclusions Malnutrition is commonly seen in patients with malignancy. The overall malnutrition rate is 45% in lung cancer patients. Patients with metastatic diseases are malnourished in a 73% ratio compared to 5% for localized diseases. Furthermore, malnutrition increases the tendency of postoperative infection and reduces wound healing. We aim to determine whether PNI can be a predictive index marker for postoperative infection in patients with NSCLC who underwent lobectomy. Postoperative infection was seen in 15.5% of patients with PNI>50 and 38.1% in patients with PNI <50.

Prediction of pathologic complete response prediction in patients with locally advanced esophageal squamous cell carcinoma treated with neoadjuvant immunochemotherapy: A real-world study

As an emerging hotspot for patients with locally advanced esophageal squamous cell carcinoma (LA-ESCC), neoadjuvant immunochemotherapy (nICT) is safe and feasible. Pathological complete response (pCR) is considered to be an important therapeutic effect of neoadjuvant therapy. However, few studies have explored pCR predictors for nICT in LA-ESCC. The purpose of this study was to predict pCR after nICT in LA-ESCC by pretreatment clinical characteristics and hematological indexes. The primary endpoint was to explore the impacts on the predictors for pCR prediction. Clinical characteristics and hematological indexes including systemic immune-inflammation index (SII), neutrophil lymphocyte ratio (NLR), lymphocyte monocyte ratio (LMR), prognostic nutritional index (PNI) and platelet lymphocyte ratio (PLR) were conducted. A total of 150 LA-ESCC patients were enrolled in the current study. There were 14 (9.3%) female and 136 (90.7%) male patients. Fifty-two patients achieved pCR (34.7%). A higher pCR rate was found in low-NLR group (43.7% vs. 26.6%, P=0.028) and high-LMR group (43.8% vs. 21.3%, P=0.004), respectively. Differentiation [odds ratio (OR) =0.464, 95% confidence interval (CI)=0.259-0.830, P=0.010], LMR (OR=0.309, 95% CI=0.132-0.707, P=0.007) and cTNM (OR=0.225, 95% CI=0.115-0.441, P<0.001) were independent predictors for pCR. The nomogram for pCR prediction based on LMR, differentiation and cTNM stage had good discrimination performance and calibration coordination (C-index=0.779). The results of our study are of great significance for designing therapeutic strategies. Nomogram based on LMR, differentiation and cTNM may accurately and effectively predict pCR.

The prognostic significance of prognostic nutritional index in gastrointestinal stromal tumors: A systematic review and meta-analysis

BACKGROUND

Risk assessment before treatment is important for gastrointestinal stromal tumors (GISTs), which will determine the priority of surgery or preoperative treatment. The prognostic nutritional index (PNI) is an integrated parameter consisting of serum albumin and lymphocyte count. Immunonutritional status defined in this manner is well-known to be closely linked to the prognosis of several other cancers. Nevertheless, the prognostic value of PNI specifically in GISTs has not been well-established. This study aimed to verify the prognostic role of PNI in patients with GISTs.

METHODS

A comprehensive literature search was conducted on medical databases up to June, 2022, and the raw data (hazard ratios and 95% confidence intervals [CIs]) focusing on the prognostic value of PNI in patients with GISTs regarding recurrence-free survival were extracted and synthesized adopting the random-effects model. This review was registered in the PROSPERO database (CRD42022345440).

RESULTS

A total of 8 eligible studies including 2627 patients with GISTs was analyzed and the pooled results confirmed that an elevated PNI was associated with a better recurrence-free survival (hazard ratio: 0.52, 95% CI: 0.40-0.68), with a moderate heterogeneity (I-square, 38%). The findings from subgroup analysis were consistent with the overall pooled results, and a sensitivity analysis, not the subgroup analysis, identified the source of heterogeneity.

CONCLUSION

Elevated pretreatment PNI may be a useful indicator for assessing risk of recurrence in patients from China with GISTs. Studies in other countries and regions are needed to further verify the prognostic value of PNI in GISTs.

Prognostic nutritional index as outcome predictor in patients with iliopsoas abscess

Cases with iliopsoas abscess (IPA) in a single hospital-based cases were reviewed and compared with clinical profiles of published hospital-based IPA series. To verify usefulness of prognostic nutritional index (PNI) used to predict outcome and severity of IPA, this study was performed. This study consists of 2 parts: Study 1 - Case review of IPA series in a single hospital: 7 cases with IPA treated in a single hospital in sequential 5 years were collected (series 1) and their clinical profiles compared. Study 2 - Review of hospital-based literature: A search of the PubMed database from 1990 to the present was performed, using the Boolean expression ([Psoas OR iliopsoas] AND [abscess] AND [hospital-based]). Two hospital-based case series were collected. The clinical profiles of 2 series were compared with series 1 to draw predictive factors of outcome and deciding treatment modality, medical or surgical. Study 1 - Analyzing 7 IPA cases, average age was 76.7 years old (varying from 64 to 91) and the lifesaving rate was 86%. PNI < 45, calculated with serum albumin (Alb) and total lymphocyte count, and larger cumulative abscess volume (CAV) measured by computed tomography seem outcome predictors. Study 2 - Analyzing 2 hospital-based IPA series (series 2 and 3), series 2 reviewed isolated IPA cases without any comorbidities and series 3 reviewed IPA cases with cardiovascular disorders. Among 3 series including ours, series 1 showed oldest case and longer length of hospitalization. Series 3 showed the highest mortality among 3 because it collected IPA with cardiovascular comorbidities. PNI seems predictors of outcome and disease activity in patients with IPA and might indicate treated with surgical intervention.

Association Between Nutritional Indices and Long-Term Outcomes in Patients Undergoing Isolated Coronary Artery Bypass Grafting

Background It is well known that approximately 20% of patients who undergo cardiac surgery experience weight loss in postoperative period. However, there is a lack of data on postoperative consequences of malnutrition. This study aimed to investigate the relationship between nutritional status and long-term outcomes in patients undergoing isolated coronary artery bypass grafting (CABG). Material and methods A total of 586 patients who underwent isolated CABG in our center between January 2015 and March 2016 were included in this study. The primary outcome was major adverse cardiac and cerebrovascular events (MACCE) defined as a composite of all-cause death, non-fatal myocardial infarction (MI), and stroke. Patients were divided into two groups based on their MACCE outcomes. Prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI), and controlling nutritional status (CONUT) scores were used to show the nutritional status. Results The mean follow-up time of the whole study group was 38.08 ± 13.4 months. The follow-up time was 39 ± 13 months in patients with mortality, while it was 20 ± 15 months in those without mortality. The PNI and GNRI values were lower in patients with major adverse cardiac and cerebrovascular events (MACCE) compared to patients without MACCE. The median CONUT score was higher in patients with MACCE. Conclusion Our study showed that nutritional indices including PNI, CONUT, and GNRI were associated with long-term MACCE and mortality in patients who underwent isolated CABG. The use of these scores in order to predict prognosis in patients treated with CABG seems to be an applicable method in clinical practice.