ObjectiveTo retrospectively investigate the correlation between tumor immune nutritional indexes and the resectability in patients with pancreatic cancer.MethodsWe selected pancreatic patients with pathological diagnosis who admitted to Xuanwu Hospital of Capital Medical University from January 2015 to December 2018. The clinical data of patients were retrospectively analyzed. Nutritional and inflammatory hematological parameters at one week before operation were carefully collected, the parameters including: the neutrophil count, lymphocyte count, monocyte count, hemoglobin (Hb), platelet count, albumin (Alb), prealbumin (PA), cholesterol, and serum tumor markers (CEA and CA19-9). The ratio of neutrophil count to lymphocyte count (NLR), ratio of platelet count to lymphocyte count (PLR), ratio of lymphocyte count to monocyte count (LMR), prognostic nutrition index (PNI), nutritional risk score (GNIR), and controlled nutritional status score (COUNT) were calculated. The receiver working characteristic curve (ROC curve) was used to evaluate the predictive value of various indexes in radical resection of pancreatic cancer.ResultsOf the 55 patients with pancreatic cancer, 22 received radical surgery and 33 did not. There was no significant difference in gender, BMI, neutrophil count, monocyte count, platelet count, hemoglobin, albumin, prealbumin, cholesterol, and tumor location between the radical operation group and the non-radical operation group (P>0.05), but there were significant differences in age, lymphocyte count, CEA, and CA19-9 between the two groups (P<0.05). There was no significant difference in the area under the curve (AUC) of neutrophil count, lymphocyte count, monocyte count, hemoglobin, platelet count, albumin, prealbumin, cholesterol, NLR, PLR, LMR, PNI, and GNIR to predict the resectability of pancreatic cancer (P>0.05), but there was statistical significance in COUNT score, CEA, and CA19-9 (P<0.05). The AUC values of COUNT, CEA, and CA19-9 were 0.700, 0.705, and 0.739 respectively, the sensitivity corresponding to the best critical point cutoff value were 59.09%, 80.00%, and 100%, as well as the specificity were 87.88%, 66.67%, and 42.42%, respectively. The specificity of COUNT was high, but the sensitivity was poor. The sensitivity of CEA and CA19-9 were high and the specificity were poor.ConclusionsThe COUNT is a simple and useful predictor to predict the resectability of pancreatic cancer. The combination of COUNT and serum tumor markers of CEA and CA19-9 can help to better predict the surgical indications of pancreatic cancer.
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 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 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 investigate the prognostic value and consistency of prognostic nutritional index (PNI) and patient-generated subjective global assessment (PG-SGA) in perioperative nutritional status of patients with esophageal cancer.MethodsClinical data of 224 patients, including 186 males and 38 females with an average age of 63.08±8.42 years, who underwent esophageal cancer surgery in our hospital from November 2017 to August 2018 were retrospectively reviewed. The PNI was calculated according to the results of the first time blood and biochemical tests, and the PG-SGA assessment was also performed. According to the PNI value, the patients were divided into a good nutrition group (PNI≥45, 60 patients) and a malnutrition group (PNI<45, 164 patients). According to the PG-SGA score, the patients were divided into a good nutrition group (PG-SGA<4, 75 patients) and a malnutrition group (PG-SGA≥4, 149 patients). Nutrition-related haematological indexes and body mass index (BMI) were compared between the two groups, and the consistency of PNI and PG-SGA for nutritional assessment was analyzed.ResultsThe nutrition-related haematological indexes in different PNI groups were statistically different in the perioperative period (P<0.01). The longitudinal changes of prealbumin in patients of different PG-SGA groups were statistically different (P<0.05); the BMI of patients in different PG-SGA groups was statistically different in the perioperative period (P<0.01). The Kappa coefficient of the two indicators was 0.589 (P<0.001).ConclusionBoth PNI and PG-SGA can predict the nutritional risk of patients with esophageal cancer to some extent. PNI is an objective monitoring indicator, and PG-SGA is a subjective evaluation indicator, the combined use of which can more comprehensively reflect and predict the nutritional status of patients, and provide an important reference to the development of individualized nutrition support programs.
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.
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.
ObjectiveTo investigate the predictive value of a new nutritional index, triglycerides-total cholesterol-body mass index (TCBI), for prolonged postoperative hospital stay in patients undergoing coronary artery bypass grafting surgery (CABG). MethodsA retrospective analysis was conducted on the clinical data of CABG patients admitted to Wuhan Asian Heart Hospital, Wuhan University of Science and Technology from January 2022 to March 2024. Based on the postoperative hospital stay duration of CABG patients, they were divided into two groups: normal hospital stay group (≤14 days) and prolonged hospital stay group (>14 days). Univariate and multivariate logistic regression analyses were used to identify independent factors associated with prolonged postoperative hospital stay in CABG patients. The receiver operating characteristic (ROC) curve was employed to evaluate the predictive value of TCBI for prolonged postoperative hospital stay. ResultsA total of 460 patients were included, with 289 males (62.8%) and 171 females (37.2%), with an average age of 67 years (range 35-83 years). The TCBI level in the prolonged hospital stay group was significantly lower than that in the normal hospital stay group [1161.71 (825.36, 1511.78) vs. 1777.60 (1354.53, 2448.60), P<0.001]. Multivariate logistic regression analysis revealed that drinking history (OR=2.222, P=0.022), low absolute lymphocyte count (OR=0.169, P<0.001), low serum albumin (OR=0.624, P<0.001), and low TCBI (OR=0.816, P<0.001) were independent risk factors for prolonged postoperative hospital stay in CABG patients. ROC curve results showed that the area under the curve for TCBI to predict prolonged hospital stay was 0.808, with a sensitivity of 72.8% and specificity of 70.9% at a cutoff value of 1446.11. ConclusionTCBI is an effective predictive indicator for prolonged postoperative hospital stay in CABG patients, and the risk of prolonged postoperative hospital stay is higher in CABG patients with TCBI ≤1446.11.
ObjectiveTo investigate the predictive value of prognostic nutritional index (PNI) in complications after thoracoscopy-assisted radical resection of esophageal cancer.MethodsWe collected the clinical data of patients who underwent thoracoscopy-assisted esophagectomy in the First Affiliated Hospital of Xinjiang Medical University from January 2015 to June 2020. The predictive value of PNI for postoperative complications was evaluated by establishing receiver operating characteristic (ROC) curve and the optimal cut-off point was determined. The patients were divided into a high PNI group and a low PNI group according to the cut-off point. The differences of baseline data and perioperative complications-related indicators between the two groups were compared and analyzed. Univariate and multivariate analyses were used to investigate the influence of PNI and other related indexes on postoperative complications.ResultsA total of 116 patients were enrolled in this study, including 75 males and 41 females, aged 65 (58-69) years. The area under ROC curve was 0.647, and the optimal cut-off point was 51.9. According to the cut-off point, there were 45 patients in the high PNI group and 71 patients in the low PNI group. The overall complication rate (χ2=10.437, P=0.001) and the incidence of postoperative pulmonary infection (χ2=10.811, P=0.001) were statistically different between the two groups. The results of univariate analysis showed that the duration of ventilator use (Z=–3.136, P=0.002), serum albumin value (t=2.961, P=0.004), and PNI value (χ2=10.437, P=0.001) were the possible risk factors for postoperative complications after thoracoscopy-assisted esophagectomy. The results of multivariate analysis suggested that the duration of ventilator use (OR=1.015, P=0.002) and the history of drinking (OR=5.231, P=0.013) were independent risk factors for postoperative complications, and high PNI was the protective factor for postoperative complications (OR=0.243, P=0.047).ConclusionPNI index has a certain value in predicting postoperative complications, which can quantify the preoperative nutritional and immune status of patients. Drinking history and duration of ventilator use are independent risk factors for postoperative complications of thoracoscopy-assisted esophagectomy, and high PNI is a protective factor for postoperative complications.
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.