ObjectiveTo investigate association between the nutrition-related indicators and the recurrence of venous thromboembolism (VTE). MethodsThe clinical data from the patients with VTE receiving 3 or 6 months of anticoagulation therapy at the West China Hospital of Sichuan University, from January 2020 to October 2022, were retrospective analyzed. The multivariate logistic regression analysis was used to assess the association between the nutrition-related indicators such as albumin to fibrinogen ratio (AFR) and prognostic nutrition index (PNI) and VTE recurrence. The test level was set as α=0.05. ResultsA total of 141 patients with VTE were enrolled, of whom 12 (8.5%) experienced recurrence within 2 years. The multivariate logistic regression analysis identified several risk factors for recurrence, including diabetes [β=–3.368, OR (95%CI)=0.034 (0.001, 0.920), P=0.044], pulmonary embolism [β=–0.454, OR (95%CI)=0.635 (0.423, 0.954), P=0.029], and decreased AFR [β=–0.454, OR (95%CI)=0.635 (0.423, 0.954), P=0.029], but it was not found that the PNI was associated with VTE recurrence [β=–0.153, OR (95%CI)=0.858 (0.722, 1.020), P=0.083]. ConclusionThe findings of this study indicate that close monitoring for recurrent VTE is warranted in patients with diabetes mellitus, pulmonary embolism, and decreased AFR receiving anticoagulation therapy.
ObjectiveTo research the association between the prognostic nutritional index (PNI) and the prognosis of patients with malignant obstructive jaundice (MOJ) after interventional treatment. MethodsThe clinicopathologic data of patients with MOJ who were clinically diagnosed and underwent interventional treatment in the Affiliated Hospital of Southwest Medical University, from September 2018 to June 2021, were gathered retrospectively. The X-Tile statistical software was used to determine the optimal critical value of PNI before treatment, then the patients were allocated into the high PNI group (PNI was the optimal critical value or more) and low PNI group (PNI was less than the optimal critical value). The clinicopathologic characteristics of the two groups were compared. The Kaplan-Meier method was used to draw survival curve for survival analysis, and the Cox proportional hazards regression model was used to analyze the risk factors affecting the prognosis of patients with MOJ (the prognostic index was overall survival). ResultsA total of 205 patients were included in this study. The optimal critical value of PNI was 37.5. There were 154 cases in the high PNI group and 51 cases in the low PNI group, respectively. The proportions of the patients with biliary infection, CA19-9 ≥400 kU/L, hemoglobin <120 g/L, albumin <30 g/L, total bilirubin ≥300 μmol/L, and alanine aminotransferase <300 U/L were higher in the low PNI group as compared with the high PNI group (P<0.05). The median overall survival of patients in the high PNI group and low PNI group was 7.1 months and 3.6 months, respectively. The overall survival curve of the former was better than that the latter (χ2=18.514, P<0.001). The median follow-up time of 205 patients was 6.2 months, with a median overall survival of 5.3 months. The multivariate results of Cox proportional hazards regression model analysis showed that the probability of overall survival lengthening was increased for the patients with more times of PTCD, with stent implantation, with treatment for primary tumor, without metastasis, and with preoperative PNI ≥37.5 (P<0.05). ConclusionFrom the results of this study, preoperative peripheral blood PNI has a certain association with the prognosis of patients with MOJ after interventional treatment, and it is expected to be used to predict the prognosis of patients with MOJ in the future.
Objective To explore the association of pretreatment prognostic nutritional index (PNI) with the prognosis of small cell lung cancer (SCLC) patients. Methods The PubMed, Web of Science, Embase, China National Knowledge Infrastructure, WanFang and VIP databases were searched for relevant literature which identified the prognostic role of PNI in SCLC up to March 9th, 2022. The primary endpoint was overall survival (OS) and the secondary endpoint was progression-free survival (PFS). The hazard ratio (HR) and 95% confidence interval (CI) were combined by Stata 12.0 software. Results A total of 19 retrospective cohort studies were included, involving 5999 participates. The pooled results indicated that low pretreatment PNI predicted poorer OS [HR=1.58, 95%CI (1.37, 1.83), P<0.001] and PFS [HR=1.51, 95%CI (1.03, 2.22), P=0.037]. Conclusion Low pretreatment PNI may be a risk factor for poor prognosis of SCLC patients and could be applied for the evaluation of prognosis and formulation of therapy strategy.
Objective To investigate the relationship between the level of prognostic nutritional index (PNI) and 28-day mortality in patients after cardiopulmonary resuscitation. Methods A total of 955 patients admitted to intensive care unit after cardiopulmonary resuscitation between 2008 and 2019 were selected from the MIMIC-IV database and grouped according to the optimal cut-off value of PNI for retrospective cohort analysis. Primary outcome was defined as 28-day all-cause mortality. After adjusting for confounding factors by propensity score matching, the outcomes between high PNI and low PNI groups were compared. PNI and Sequential Organ Failure Assessment (SOFA) score were incorporated into a Cox proportional risk model to construct a predictive model, and the predictive effect was assessed using the concordance index, the net reclassification index, and the integrated discriminant improvement. Results After propensity score matching, compared with the high PNI group, the low PNI group had lower 28-day survival (P<0.001), higher doses of vasoactive drugs used during intensive care unit stay (P<0.001), higher SOFA score (P<0.001) and higher Logistic Organ Dysfunction System score (P=0.002). The admission PNI and SOFA score had similar predictive effects on 28-day mortality, with the area under the receiver operating characteristic curve of 0.639 and 0.638, respectively. In addition, compared with SOFA score alone, PNI combined with SOFA score improved the predictive performance, with an area under the curve of 0.673, the concordance index increasing from 0.598 to 0.622, and the net reclassification index and the integrated discriminant improvement estimates of 0.144 (P<0.001) and 0.027 (P<0.001), respectively. Conclusions PNI can be used as a new predictor of all-cause death risk within 28 days after cardiopulmonary resuscitation. SOFA score combined with PNI can improve the prediction effect.
ObjectiveTo study the clinical significance of prognostic nutritional index (PNI) combined with neutrophil to lymphocyte ratio (NLR) in predicting the occurrence of anastomotic leakage after radical gastrectomy for gastric cancer.MethodsTo retrospectively analyze and collect the clinical data of 517 patients with gastric cancer who were diagnosed at the Third People’s Hospital of Shangqiu City from January 2016 to May 2020, all of the patients received radical gastrectomy. We explored the risk factors that affect the occurrence of postoperative anastomotic leakage, and explored the clinical significance of PNI combined with NLR on the third day after operation in predicting the occurrence of anastomotic leakage.ResultsAmong 517 patients undergoing radical gastrectomy, 61 had anastomotic leakage, and the incidence of anastomotic leakage was 11.8%. The results of multivariate logistic regression analysis showed that patients with preoperative diabetes and intraoperative blood loss ≥400 mL had a higher incidence of anastomotic leakage, and with the increase of NLR value on the 3rd and 5th day after operation, and the decrease of PNI value on the 3rd and 5th day after operation, the incidence of anastomotic leakage increased (P<0.05). The area under the curve of NLR, PNI, and NLR combined with PNI on the 3rd day after operation in predicting the occurrence of anastomotic leakage were 0.849, 0.581, and 0.949, respectively, and the differences were statistically significant (P<0.05), the sensitivity and specificity of NLR combined with PNI were higher than the individual indicator.ConclusionPNI combined with NLR on the 3rd day after operation has important clinical significance in predicting the occurrence of anastomotic leakage after radical gastrectomy for gastric cancer.
ObjectiveTo determine the predictive value of the preoperative prognostic nutritional index (PNI) regarding the development of acute kidney injury (AKI) after non-coronary artery bypass grafting (CABG) cardiac surgery.MethodsThe clinical data of 584 patients who underwent elective non-CABG cardiac surgery with cardiopulmonary bypass (CPB) in our hospital from May to September 2019 were reviewed. There were 268 (45.9%) males and 316 (54.1%) females, with a mean age of 52.1±11.6 years. The mean cardiopulmonary time and aortic-clamp time was 124.8±50.1 min and 86.4±38.9 min, respectively. Totally 449 (76.9%) patients received isolate valve surgery. We developed the risk prediction model of AKI using multivariable logistic regression. The predictive values of preoperative PNI, Cleveland Clinic Score (CCS) and risk prediction model were estimated by the area under the receiver operating characteristic curve (AUC) and Hosmer-Lemeshow goodness-of-fit test. The improvement of preoperative PNI to predictive values of CCS or AKI risk prediction models were defined by the net reclassification index (NRI) and variation of AUC.ResultsThe preoperative PNI could neither effectively predict the occurrence of AKI following non-CABG cardiac surgery (AUC=0.553, 95%CI 0.489-0.617, P=0.095) nor improve the predictive effect of other AKI predictive models. The risk prediction model of AKI structured by our study had high predictive value on AKI or severe AKI (stage 2-3) (AUC=0.741, 95%CI 0.686-0.796, P<0.001) and superior to CCS (AUC=0.512, 95%CI 0.449-0.576, P=0.703).ConclusionThe preoperative PNI can neither predict the occurrence of AKI following elective non-CABG cardiac surgery nor improve the prediction values of other AKI prediction models.
Objective To investigate the predictive value of the prognostic nutritional index (PNI) for 28-day all-cause mortality in patients with chronic obstructive pulmonary disease (COPD) in intensive care unit (ICU). Methods The relationship between PNI and short-term mortality in COPD patients was analysed using COX proportional hazards and restricted cubic spline (RCS) models. Receiver operating characteristic (ROC) curves were plotted and area under the ROC curve (AUC) was calculated to assess the predictive performance of PNI. The optimal cut-off value for PNI was determined using the Youden index, and the data were divided into a low PNI group and a high PNI group. Kaplan-Meier curves were then constructed and the log-rank test was used to assess differences in survival between the two groups. Results A total of 980 COPD patients were included in the study. Multivariable COX regression analysis showed that PNI was an independent factor influencing short-term mortality in the severe COPD patients (HR=0.972, 95%CI 0.948 - 0.995, P=0.019). RCS curve results showed a non-linear relationship between PNI and short-term mortality in the severe COPD patients (P for non-linear=0.032), with the risk of death gradually decreasing as PNI increased. The ROC curve indicated that PNI had some predictive power, comparable to that of SOFA score [(AUCPNI=0.693) vs. (AUCSOFA=0.672)]. Kaplan-Meier curve analysis showed a significant difference in survival time between the low (≤38.3) PNI group and the high (>38.3) PNI group (P<0.05). Conclusions PNI has a certain predictive role for short-term all-cause mortality in patients with severe COPD. Patients with low PNI at ICU admission have a higher risk of short-term mortality.
ObjectiveTo explore effect of preoperative prognostic nutritional index (PNI) on clinically related postoperative pancreatic fistula (CR-POPF) after distal pancreatectomy (DP) and analyze its influencing factors in order to provide a basis for clinical prediction of CR-POPF. MethodsThe clinicopathologic data of patients who successfully completed DP in the Affiliated Hospital of Xuzhou Medical University and met the inclusion and exclusion criteria of this study from January 1, 2017 to January 31, 2021 were collected retrospectively. The preoperative PNI value was calculated and the optimal cut-off value was obtained according to the receiver operative characteristic (ROC) curve. The patients were divided into low and high PNI based on the optimal cut-off value. The clinicopathologic characteristics were compared between the patients with low and high PNI and CR-POPF or not. At the same time, multivariate logistic regression was used to analyze the influencing factors of CR-POPF. ResultsA total of 143 patients who met the inclusion and exclusion criteria were included in this study. The CR-POPF occurred in 33 cases (23.08%) after DP, and the average preoperative PNI was 52.26 (39.20–65.10), the optimal cut-off value of PNI was 50.55, with 49 cases in the low PNI group and 94 cases in the high PNI group. In patient with low PNI, the proportions of patients aged ≥65 years and with CR-POPF were higher than those with high PNI (P<0.05). In the patients with CR-POPF, the proportions of patients with soft pancreatic texture and with low preoperative PIN were higher than those without CR-POPF (P<0.05). Further, the multivariate logistic regression showed that the the preoperative low PNI (OR=5.417, P<0.001) and soft pancreatic texture (OR=4.126, P=0.002) increased the risk of CR-POPF. ConclusionLow preoperative PNI and soft pancreatic texture increase risk of CR-POPF after DP, and it is necessary to preoperatively evaluate PNI status of patients.
Objective To determine the relationship between preoperative prognostic inflammatory and nutritional index (PINI) value and short-term prognosis in colorectal cancer. Methods Patients with colorectal cancer verified by pathologically examine were prospectively enrolled from April 2009 to June 2009. Serum alpha-1-acid glycoprotein, C-reactive protein, albumin and prealbumin were examined on day 3 before operation, and the value of preoperative PINI was calculated. The relationships between preoperative PINI and patho-TNM stage, complications, quality of life, and recurrence and metastasis after operation were analyzed. Results Total 38 patients with colorectal cancer underwent radical surgery were enrolled. Preoperative PINI value was 2.17±1.27. Preoperative PINI value was correlated with TMN stage and M stage: PINI value in patients of Ⅳ stage or M1 stage, were significantly higher than those in ones of Ⅰ, Ⅱ and Ⅲ stage （P＜0.001） or M0 stage （P＜0.001）. There was no significant correlation between preoperative PINI value and preoperative complications （Pgt;0.05）. Preoperative PINI value was correlated with postoperative diet, anorexia and overall quality of life: preoperative PINI value in patients with abnormal diet, anorexia or poor quality of life, were significantly higher than those in ones with normal diet (P=0.020), no-anorexia (P=0.020) or moderate (P=0.025) and well (P=0.020) quality of life. Conclusion Preoperative PINI value is an effective index to assess the short-term prognosis of colorectal cancer.
ObjectiveTo discuss the relation between postoperative prognostic nutritional index (PNI) and serious complications (Clavien-Dindo complications classification Ⅲ to Ⅴ) after hepatectomy for patients with hepatocellular carcinoma (HCC). MethodsAccording to the inclusion and exclusion criteria, the HCC patients who underwent hepatectomy in the Sichuan Cancer Hospital from January 2009 to January 2016 were retrospectively collected. The predictive ability of postoperative PNI for postoperative complications was evaluated by receiver operating characteristic (ROC) curve, and the optimal cutoff value was determined. At the same time, the related factors affecting the severe complications and overall survival after hepatectomy in the HCC patients were analyzed by non-conditional logistic regression and Cox proportional hazards regression analysis, respectively. ResultsA total of 779 patients were enrolled, and the postoperative complications occurred in 238 (30.6%) cases, including 68 (8.7%) cases of serious complications. The postoperative PNI of all patients was 35.8±4.9, the ROC curve analysis showed that the area under the ROC curve of postoperative PNI for predicting postoperative severe complications was 0.735, the optimal cutoff value was 35.7, and the sensitivity and specificity were 0.868 and 0.518, respectively. The patients were classified as a lower postoperative PNI (≤35.7, 397 patients) and higher postoperative PNI (>35.7, 382 patients) based on the optimal cutoff value. Compared with patients with higher postoperative PNI, the patients with lower postoperative PNI had later stage of tumor (P<0.001) , worse liver function (P<0.05), and larger volume of excised liver (P<0.001), more blood loss (P<0.001), and higher proportion of intraoperative blood transfusion (P<0.001), higher serious complication (P<0.001) and mortality (P=0.039). The multivariate logistic regression analysis found that the preoperative Child-Pugh score grade B, American Society of Anesthesiologists grade Ⅲ–Ⅳ, intraoperation blood transfusion, preoperative decreased platelet level, and lower postoperative PNI increased the probability of postoperative serious complications in the HCC patients (P<0.05). The overall survival of HCC patients with higher postoperative PNI was better than that of patients with lower postoperative PNI (P=0.007), but there was no statistical difference in tumor-free survival between the two (P=0.073), and it was not fount that the postoperative PNI was associated with the overall survival of HCC patients underwent hepatectomy by the Cox proportional hazards regression multivariate analysis (P=0.276). ConclusionsThe optimal cutoff value of postoperative PNI for predicting postoperative serous complications determined in this study is 35.7, which has a higher predictive value. Patients with higher postoperative PNI and lower postoperative PNI in incidence of postoperative serious complications are obviously different, patients with higher postoperative PNI has a better overall survival than those with lower postoperative PNI.