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Background: Curative thoracic radiotherapy (CTRT) with concurrent chemotherapy has been considered as standard treatment approach for stage-III non-small cell lung cancer (NSCLC). The hematological and esophageal toxicities that have been encountered during CTRT would affect the immunonutritional status of the patients. The aim of this study is to evaluate the prognostic value of the change in pre- and post-treatment prognostic nutritional index (PNI) in stage-III NSCLC patients. Methods: Eighty seven consecutive stage III NSCLC patients� data were collected. Pre-radiotherapy (RT) and post-RT PNI values were calculated and the impact of prognostic value of PNI change on overall survival (OS) was evaluated by univariate and multivariate Cox regression analyses. A cutoff value of PNI change was obtained by receiver operator characteristic (ROC) curve analysis. Results: The cutoff value was found to be a 22% decrease in PNI by ROC curve analysis in terms of effect on OS. The median OS of low and high PNI decrease groups were 22.5 and 16.5 months respectively (P = 0,001). In univariate and multivariate analyses PNI decrease of ? 22% was found to be an independent poor prognostic factor for OS (P = 0.012) and hazard ratio (95% confidence interval)= 2.05 (1.16�62). Conclusion: The PNI change would be a convenient parameter to assess the immunonutrition
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Objective:To explore the effects of Onodera′s prognostic nutritional index (PNI) on the prognosis of locally advanced oropharyngeal squamous cell carcinoma (LA-OPSCC) after induction chemotherapy followed by sequential chemoradiotherapy.Methods:A retrospective analysis was conducted on the clinical data of 52 LA-OPSCC patients receiving induction chemotherapy followed by sequential chemoradiotherapy in The Affiliated Cancer Hospital of Guizhou Medical University during 2014-2018. The PNI values of all the patients at different treatment phases were statistically analyzed, and the ROC curve was employed to determine the optimal critical value of PNI. The patients in this study were divided into a well-nourished group ( n = 27) and a poorly-nourished group ( n = 25). The Kaplan-Meier method was used for survival analysis. The Cox proportional hazards model was utilized to analyze the relationships between different nutritional status and prognosis. Clinical features and adverse reactions were compared between the two groups. Results:The PNI values decreased significantly after radiotherapy, with an optimal critical value of 42.4. The 5-year overall survival (OS) and progression-free survival (PFS) of the well-nourished group (PNI ≥ 42.4) were 62.6% and 60.9%, respectively, which were significantly higher than those (30.1% and 29.7%) of the poorly-nourished group (PNI < 42.4, χ2 = 11.12, 5.74, P < 0.05). The multivariate analysis showed that PNI was an independent prognostic factor for the OS after radiotherapy ( HR = 2.752, 95% CI: 1.095-6.917, P = 0.031). The LA-OPSCC patients aged over 60 years or those who did not respond to induction chemotherapy accounted for a higher proportion of malnutrition after chemoradiotherapy ( χ2 = 4.89, 5.05, P < 0.05). Conclusions:PNI after radiotherapy can be used as a prognostic factor in the evaluation of LA-OPSCC patients receiving induction chemotherapy followed by sequential chemoradiotherapy. The LA-OPSCC patients aged over 60 years or those who do not respond to induction chemotherapy should receive more nutritional support during the chemoradiotherapy.
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@#Objective To investigate the predictive value of prognostic nutritional index (PNI) in complications after thoracoscopy-assisted radical resection of esophageal cancer. Methods We 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. Results A 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). Conclusion PNI 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.
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Patients with end-stage liver disease after liver transplantation constantly suffer from malnutrition due to primary diseases and transplantation-related factors. Malnutrition will worsen clinical condition of the patients, increase the incidence of complication, length of hospital stay and medical expense after transplantation, and lower the survival rate. Sufficient nutritional support at all stages of liver transplantation is of significance. Accurate assessment of nutritional status and timely intervention are prerequisites for perioperative nutritional treatment in liver transplantation. In this article, the latest nutritional risk screening indexes and evaluation tools, nutritional support methods and other perioperative nutritional intervention measures for liver transplantation were reviewed, aiming to deepen the understanding and cognition of perioperative nutritional therapy for liver transplantation and provide reference for improving nutritional status and clinical prognosis of liver transplant recipients.
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SUMMARY OBJECTIVES: While studies on the treatment for the coronavirus disease 2019 (COVID-19) pandemic continue all over the world, factors that increase the risk of severe disease have also been the subject of research. Malnutrition has been considered an independent risk factor. Therefore, we aimed to investigate the clinical effect of dietary habits and evaluate the prognostic value of the Controlling Nutritional Status score in the COVID-19 patients we followed up. METHODS: A total of 2760 patients hospitalized for COVID-19 were examined. Patients were retrospectively screened from three different centers between September 1 and November 30, 2020. A total of 1488 (53.9%) patients who met the criteria were included in the study. Risk classifications were made according to the calculation methods of prognostic nutritional index and Controlling Nutritional Status scores and total scores. The primary outcome of the study was in-hospital mortality. RESULTS: The groups with severe Controlling Nutritional Status and prognostic nutritional index scores had a significantly higher mortality rate than those with mild scores. In the multivariable regression analysis performed to determine in-hospital mortality, the parameters, such as age (OR 1.04; 95%CI 1.02-1.06, p<0.001), admission oxygen saturation value (SaO2) (OR 0.85; 95%CI 0.83-0.87, p<0.001), and Controlling Nutritional Status score (OR 1.34; 95%CI 1.23-1.45, p<0.001), were independent predictors. The patient groups with a low Controlling Nutritional Status score had a higher rate of discharge with recovery (p<0.001). CONCLUSIONS: Higher Controlling Nutritional Status scores may be effective in determining in-hospital mortality in patients with COVID-19. Nutrition scores can be used as a useful and effective parameter to determine prognosis in patients with COVID-19.
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Tumor recurrence is the main issue that affects the long-term survival of recipients after liver transplantation for hepatocellular carcinoma. Accurate preoperative evaluation and proper selection of transplant recipients are the key factors affecting the long-term prognosis of recipients undergoing liver transplantation for hepatocellular carcinoma. Neutrophil, lymphocyte, C-reactive protein, platelet and fibrinogen (FIB) are major biomarkers that indicate inflammatory response of the host. Multiple studies have found that these biomarkers may not only represent the inflammatory response, but also could be integrated to predict tumor recurrence and long-term survival rate of the recipients following liver transplantation for hepatocellular carcinoma. These biomarkers mainly consist of neutrophil-to-lymphocyte ratio (NLR), Glasgow prognostic score (GPS), FIB, platelet-to-lymphocyte ratio (PLR) and prognostic nutritional index (PNI), etc. In this article, research progresses on predictive effect of inflammatory biomarkers on prognosis of liver transplantation for hepatocellular carcinoma were reviewed.
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The morbidity and mortality of hematological tumors have shown a rising tendency in recent years and become one of the major diseases which affect public health. The nutritional and inflammation status of the body has been proved to play an important role in the occurrence, development and prognosis of the blood system disease. The prognostic nutritional index (PNI) is an important index to reflect the nutritional and inflammation status of the body, and it can be calculated by serum albumin level and peripheral blood lymphocyte count. A large number of studies have reported that PNI can effectively predict the prognosis of several hematological tumors, including lymphoma. In this review, the prognostic value of PNI in patients with lymphoma was summarized briefly.
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Humans , Hematologic Neoplasms , Inflammation , Lymphoma , Nutrition Assessment , Nutritional Status , Prognosis , Retrospective StudiesABSTRACT
Objective:To investigate the diagnostic value of prognostic nutritional index (PNI) and C-reactive protein to albumin ratio(CAR) in Crohn′s disease complicated with intra-abdominal infection (CD-IAI).Methods:From January 2016 to December 2021, the clinical data of 61 patients with Crohn′s disease (CD) and 61 patients with CD-IAI diagnosed at Nanfang Hospital, Southern Medical University were retrospectively analyzed. Crohn′s disease activity index (CDAI), Crohn′s disease endoscopic index of severity (CDEIS), laboratory parameters(white blood cell count, neutrophil ratio, platelet count, C-reactive protein (CRP), procalcitonin (PCT), D-dimer, prothrombin time (PT), fibrinogen, activated partial thromboplastin time (APTT)), PNI and CAR were compared between CD patients and CD-IAI patients. From January to May in 2022 another 30 patients with CD and 13 patients with CD-IAI diagnosed at Nanfang Hospital, Southern Medical University were selected to verify the accuracy of PNI and CAR in predicting CD-IAI. The optimal cut-off values of PNI and CAR in predicting CD-IAI, area under the curve (AUC), Youden index, sensitivity and specificity were calculated by receiver operating characteristic curve (ROC). Spearman correlation was used to analyze the correlation between PNI, CAR, CDAI, and CDEIS, and logistic regression was performed to analyze the influencing factors of CD-IAI. Independent sample t test and Mann-Whitney U test were used for statistical analysis. Results:CDAI and CDEIS were higher in CD-IAI patients than those of CD patients(256.68±8.50 vs.144.87±7.83; 3.80 (1.80, 5.40) vs. 1.20 (0.20, 2.80)), and the differences were statistically significant( t=-9.67, Z=-4.02, both P<0.001). The white blood cell count, neutrophil ratio, platelet count, CRP, PCT, D-dimer, PT, fibrinogen, and APTT of CD-IAI patients were all higher than those of CD patients (7.81×10 9/L (5.98×10 9/L, 11.39×10 9/L) vs. 5.94×10 9/L (4.86×10 9/L, 7.11×10 9/L); (73.43±10.67)% vs. (62.30±11.03)%; 360.00×10 9/L (266.50×10 9/L, 456.00×10 9/L) vs. 294.00×10 9/L (222.50×10 9/L, 356.00×10 9/L); 44.27 mg/L (16.82 mg/L, 82.65 mg/L) vs. 3.42 mg/L (0.59 mg/L, 18.33 mg/L); 0.07 μg/L (0.04 μg/L, 0.22 μg/L) vs. 0.04 μg/L (0.02 μg/L, 0.05 μg/L); 0.75 mg/L (0.32 mg/L, 2.00 mg/L) vs. 0.26 mg/L (0.15 mg/L, 0.46 mg/L); 11.90 s (11.40 s, 12.90 s) vs. 11.20 s (10.45 s, 11.70 s); 4.58 g/L (3.59 g/L, 5.59 g/L) vs. 2.99 g/L (2.17 g/L, 4.23 g/L); 30.40 s (28.30 s, 32.80 s) vs. 28.00 s (25.45 s, 31.10 s)), and the differences were statistically significant ( Z=-4.48; t=-5.66; Z=-2.71, -6.47, -3.78, -4.87, -4.87, -5.44 and -2.74; all P<0.01). The serum albumin level of CD-IAI patients was lower than that of CD patients (34.10 g/L (31.40 g/L, 36.90 g/L) vs. 39.00 g/L (35.10 g/L, 43.20 g/L)), and the difference was statistically significant( Z=-3.91, P<0.001). The PNI of CD-IAI patients was lower than that of CD patients (41.65, (38.58, 44.58) vs. 47.80 (40.45, 52.98)), while CAR was higher than that of CD patients (1.29 (0.48, 2.67) vs. 0.10 (0.01, 0.46)), and the differences were statistically significant ( Z=-3.83 and -6.44, both P<0.001). The results of Spearman correlation analysis showed that PNI was negatively correlated with CAR, CDAI, and CDEIS ( r=-0.64, -0.53 and -0.50, all P<0.001), and CAR was positively correlated with CDAI and CDEIS ( r=0.63 and 0.52, both P<0.001). The results of logistic regression analysis showed that high level of PNI was a protective factor for CD-IAI ( OR= 0.911, 95% confidence interval 0.864 to 0.961), and high level of CAR was a risk factor for CD-IAI ( OR=2.846, 95% confidence interval 1.745 to 4.644). The results of ROC indicated that the AUC value of combined PNI and CAR in the diagnosis of CD-IAI was 0.829 ( P<0.001), Youden index was 0.541, the sensitivity was 0.934, and the specificity was 0.607. The sensitivity and specificity of optimal cut-off value of the combination of PNI and CAR in predicting CD-IAI were 0.692 and 0.967. Conclusions:PNI and CAR have certain diagnostic value in CD-IAI. The risk of CD-IAI is high when PNI <45.550 and CAR >0.466.
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Objective:To investigate the association between Onodera's prognostic nutritional index (OPNI) and postoperative adverse outcomes in elderly gastrointestinal surgery patients and assess the predictive value.Methods:A total of 230 elderly patients who received gastrointestinal surgery were prospectively enrolled. Clinical data, including age, sex, preoperative laboratory parameters, surgery process and clinical outcomes, were collected. The optimal cut-off value of OPNI was obtained using NRS 2002, a well-recognized nutritional risk screening tool, as the standard. The associations of OPNI, geriatric nutritional risk index (GNRI) and albumin with in-hospital mortality, complication incidence and duration of postoperative hospital stay were evaluated using Chi-square test or nonparametric test as appropriate. Confounders were identified through univariate analysis and logistic and linear regression models were developed to validate the correlation and assess the predictive value of OPNI for postoperative clinical outcomes.Results:The optimal cut-off value for the OPNI was 41.25, which yielded a sensitivity of 72.7% and a specificity of 59.9% with area under the curve (AUC) at 0.682. The incidence of OPNI-based malnutrition (defined as OPNI < 41.25) was 50% (115/230). Univariate analysis indicated that patients with OPNI < 41.25 had a significantly higher mortality (8.70% versus 2.61%, P = 0.046) and complication incidence (20.00% versus 9.57%, P = 0.026) and significantly longer postoperative hospital stay (11.17 d versus 8.49 d, P = 0.009) than patients with OPNI ≥ 41.25. Patients with GNRI < 98 had a longer postoperative hospital stay than those with GNRI ≥ 98 (10.71 d versus 7.55 d, P = 0.001) while there was no significant difference in mortality or complication incidence between the two groups ( P > 0.05). As for subgroups divided according to albumin levels (< 35 g/L or ≥35 g/L), no significant differences in mortality, postoperative complications incidence, or duration of postoperative hospital stay were observed ( P > 0.05). Multivariate analysis verified that OPNI < 41.25 was an independent risk factor for the development of postoperative complications ( OR: 2.660, 95% CI: 1.079-6.557, P = 0.034) and prolonged postoperative hospital stay ( R2 = 0.135, regression coefficient = 2.73, P = 0.047), where the AUC of the regression model for complications was 0.812 (95% CI: 0.741-0.882). GNRI < 98 was the independent risk factor for prolonged postoperative hospital stay ( R2 = 0.134, regression coefficient = 2.797, P = 0.049). Conclusion:OPNI is an independent risk factor for adverse clinical outcomes after gastrointestinal surgery in elderly patients and demonstrates good predictive value with the cut-off value of 41.25.
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Objective To investigate the risk factors of abdominal infection after orthotopic liver transplantation. Methods Clinical data of 284 recipients undergoing orthotopic liver transplantation were retrospectively analyzed. All recipients were divided into the infection group (n=51) and non-infection group (n=233) according to the incidence of postoperative abdominal infection. Univariate and multivariate logistic regression analyses were used to identify the risk factors of abdominal infection. Nomogram prediction models were constructed and the prediction efficiency of these models was evaluated. The predictive value of continuous variables for abdominal infection was assessed. Results Among 284 recipients, 51 developed abdominal infection with an incidence of 18.0%. Diabetes mellitus before surgery[odds ratio (OR) 2.66, 95% confidence interval (CI) 1.13-6.14, P=0.013], long operation time (OR 1.98, 95%CI 1.03-3.57, P=0.038), low prognostic nutritional index (PNI) (OR 2.18, 95%CI 1.06-4.44, P=0.023), high systemic immune-inflammation index (SII) (OR 2.21, 95%CI 1.06-4.78, P=0.012) and high C-reactive protein/albumin ratio (CAR) (OR 1.90, 95%CI 1.05-3.49, P=0.029) were independent risk factors for abdominal infection after liver transplantation. The area under curve (AUC) of nomogram model for predicting abdominal infection after liver transplantation was 0.761. The standard model yielded high consistency. CAR, PNI and SII were all predictors of abdominal infection after liver transplantation (all P < 0.05), with AUC of 0.648, 0.611 and 0.648, and cut-off values of 2.75, 43.15 and 564.50, respectively. Conclusions CAR, SII and PNI are predictors of abdominal infection after liver transplantation. The nomogram model based on PNI, SII and CAR may effectively predict the incidence of abdominal infection after liver transplantation.
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SUMMARY OBJECTIVE Recent studies have linked malnutrition with undesirable outcomes in cardiovascular diseases. However, the underlying mechanism is unknown. Contrast-induced acute kidney injury (CI-AKI) increased cardiovascular mortality after percutaneous coronary intervention (PCI). This study hypothesizes that prognostic nutritional index (PNI) plays a role in the development of CI-AKI in patients with acute coronary syndrome undergoing emergency PCI. METHODS This study enrolled 551 patients. PNI was determined as 10× serum albumin (g/dL)+0.005×total lymphocyte count (mm3). CI-AKI was characterized as the increase in serum creatinine ≥0.3 mg/dL level within 48 h after PCI. Patients were classified as either CI-AKI (+) or CI-AKI (−). RESULTS CI-AKI has occurred in 72 of 551 patients (13.1%). PNI was significantly lower in the CI-AKI (+) group than in the CI-AKI (-) group (44.4±6.6 versus 47.2±5.8, p<0.001, respectively). Multivariate logistic regression analysis showed that PNI [odds ratio, OR: 1.631, 95% confidence interval (CI): 1.168-2.308, p=0.02] and estimated glomerular filtration rate (OR: 3.26, 95%CI 1.733-6.143, p<0.001) were independent risk factors for CI-AKI. CONCLUSIONS PNI is an independent risk factor for CI-AKI. The development of CI-AKI may be the mechanism responsible for the relationship between poor nutritional status and adverse cardiac events.
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Humans , Acute Coronary Syndrome/complications , Acute Kidney Injury/etiology , Percutaneous Coronary Intervention/adverse effects , Prognosis , Nutrition Assessment , Risk Factors , Contrast Media , CreatinineABSTRACT
SUMMARY OBJECTIVE: The aim of this study was to investigate the performance of controlling nutritional status (CONUT) index, geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI) scores in predicting the long-term prognosis of patients with non-ST-elevated myocardial infarction (NSTEMI) who underwent percutaneous coronary intervention (PCI). METHODS: A total of 915 patients with NSTEMI (female: 48.4%; mean age: 73.1±9.0 years) who underwent PCI at Adana Numune Training and Research Hospital, Cardiology Clinic between January 2014 and January 2015 were included in this cross-sectional and retrospective study. CONUT, GNRI, and PNI scores were calculated based on the admission data derived from samples of peripheral venous blood. The mean follow-up duration was 64.5±15.4 months. RESULTS: During follow-up (mean 64.5±15.4 months), 179 patients (19.6%) died. The mean GNRI and PNI scores were significantly lower in the nonsurvivor group; however, the median CONUT score was significantly higher in the nonsurvivor group compared with the survivor group. The receiver operating characteristic (ROC) curve analyses have shown that GNRI score has similar performance to the CONUT score and has better performance than PNI score in predicting 5-year mortality. The Kaplan-Meier curve analysis has shown that patients with lower PNI or GNRI had higher cumulative mortality than the patients with higher PNI or GNRI. Also, the patients with higher CONUT scores had higher cumulative mortality compared with those with lower scores. The multivariate analyses have shown that GNRI (HR: 0.973), PNI (HR: 0.967), CONUT score (HR: 1.527), and body mass index (BMI) (HR: 0.818) were independent predictors of the 5-year mortality in patients with NSTEMI. CONCLUSION: In this study, we have shown that CONUT score, GNRI, and PNI values were associated with the long-term mortality in patients with NSTEMI who underwent PCI, and GNRI yielded similar results to CONUT score but was better than PNI.
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Humans , Female , Aged , Aged, 80 and over , Non-ST Elevated Myocardial Infarction/surgery , Prognosis , Nutrition Assessment , Nutritional Status , Cross-Sectional Studies , Retrospective Studies , Risk Factors , Percutaneous Coronary Intervention , Middle AgedABSTRACT
Objective To systematically evaluate the relation between prognostic nutrition index (PNI) and prognosis of bladder cancer (BC) patients treated with radical cystectomy (RC). Methods We searched the literatures about the relation between PNI and the prognosis of patients treated with radical cystectomy published from the inception to January 30, 2021 in PubMed, Embase, Web of Science, CNKI, Wanfang, VIP and Chinese Medical Journal Database, and used RevMan5.3 software for Meta analysis. Results We included six literatures which comprise a total of 1273 patients. The results showed that there was a significant correlation between low PNI and OS of BC patients treated with RC (HR=2.0, 95%CI: 1.56-2.56), and there was a significant difference in RFS, PFS and DSS between low PNI and BC patients treated with RC (HR=1.93, 95%CI: 1.51-2.48). In the subgroup analysis, there were statistical differences in PNI and the prognosis of BC patients treated with RC between the Chinese group (HR=2.13, 95%CI: 1.62-2.81) and the Japanese group (HR=1.78, 95%CI: 1.08-2.94), and the PNI cutoff value had a good predictive effect on the prognosis of patients in the range of 46.08-51.30. Conclusion There is a significant relation between the level of PNI and OS of bladder cancer patients treated with radical cystectomy. Low PNI can be used as an effective marker to predict the prognosis of patients.
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Objective To evaluate the correlation of prognostic nutritional index(PNI) with overall survival of postoperative patients with thymoma. Methods The clinical and pathological data of 173 postoperative patients with thymoma were analyzed retrospectively. Results R0 resection (P < 0.001), myasthenia gravis (P < 0.001), Masaoka stage (Ⅱ/Ⅰ: P=0.012; Ⅲ & Ⅳ/Ⅰ: P=0.011), WHO type (P < 0.001) and PNI (P=0.016) were independent risk factors for OS of postoperative patients with thymoma. R0 resection (P=0.001) and myasthenia gravis (P=0.039) were independent risk factors for OS of higher PNI group (PNI > 45); and Masaoka stage (Ⅱ/Ⅰ: P=0.012; Ⅲ & Ⅳ/Ⅰ: P=0.048), WHO type (P=0.039), R0 resection (P < 0.001) and myasthenia gravis(P < 0.001) were independent risk factors for OS of lower PNI group (PNI≤45). Patients with myasthenia gravis are prone to have a decreased PNI. Conclusion Complete resection, myasthenia gravis, Masaoka stage, WHO type and PNI are independent prognostic factors for postoperative patients with thymoma. Thymoma patients with myasthenia gravis have lower PNI and OS. PNI should be routinely monitored in thymoma patients with myasthenia gravis.
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ObjectiveTo investigate the value of prognostic nutritional index (PNI) in predicting the prognosis of patients with hepatic alveolar echinococcosis. MethodsA retrospective analysis was performed for the clinical data of 242 patients who were admitted to Department of Hepatopancreatobiliary Surgery, Qinghai University Affiliated Hospital, from January 2015 to December 2018 and underwent surgical treatment of hepatic alveolar echinococcosis. The results of routine blood test and liver function were collected at 1 week before surgery, and PNI was calculated. X-Tile software was used to determine the cut-off value of PNI, and according to this cut-off value, the patients were divided into high PNI group with 216 patients and low PNI group with 26 patients. The chi-square test was used for comparison of categorical data between groups; the Kaplan-Meier method was used to plot survival curves, and the log-rank test was used for comparison between groups; the Cox regression model was used to perform univariate and multivariate analyses, and hazard ratio (HR) and corresponding 95% confidence interval (CI) were calculated. ResultsPNI was associated with treatment modality, intraoperative blood loss, stage of echinococcosis, number of lesions, Child-Pugh class, aspartate aminotransferase, total bilirubin, albumin, alkaline phosphatase (ALP), prothrombin time (PT), and lymphocyte count (all P＜0.05). The low PNI group had 1-, 3-, and 5-year survival rates of 92.1%, 30.5%, and 20.3%, respectively, after surgery, while the high PNI group had 1-, 3-, and 5-year survival rates of 957%, 79.5%, and 56.9%, respectively. The mean survival time was 33.783 (95% CI: 26.450-51.355) months in the low PNI group and 51.355 (95% CI: 49.044-53.666) months in the high PNI group, and there was a significant difference between the two groups (χ2=24.626, P＜0.001). The univariate Cox regression analysis showed that PNI, surgical procedure, intraoperative blood loss, stage of echinococcosis, Child-Pugh class, complication, ALP, PT, neutrophils, and platelets were associated with the prognosis of patients with hepatic alveolar echinococcosis (all P＜0.05), and the multivariate Cox regression analysis showed that treatment modality (HR=1.461, 95%CI: 1.132-1.890, P=0.004), intraoperative blood loss (HR=6.078, 95%CI: 3.412-10.826, P＜0001), PNI(HR=0.367, 95%CI: 0.192-0.701, P=0.002), complications (HR=2.007, 95%CI: 1.204-3.346, P=0.008), and neutrophils (HR=2.772, 95%CI: 1.304-5.891, P=0.008) were independent risk factors for the prognosis of patients with hepatic alveolar echinococcosis. ConclusionPNI can be used to predict the prognosis of patients with hepatic alveolar echinococcosis. The higher the peripheral blood PNI before surgery, the better the prognosis of patients.
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@#Objective To 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. Methods The 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. Results The 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). Conclusion The 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.
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Objective:To investigate the relationship between Onodera′s prognostic nutritional index (PNI) and prognosis of patients with esophageal squamous cell carcinoma (ESCC) after definitive chemoradiotherapy or radiotherapy, aiming to provide a convenient, effective and accurate predictive indicator for evaluating the long-term survival of patients after treatment.Methods:Clinical data of 231 ESCC patients treated with definitive chemoradiotherapy or radiotherapy at the Fourth Hospital of Hebei Medical University from 2013 to 2015 were retrospectively analyzed. The PNI values of each patient at different radiotherapy periods were calculated and the ROC curve was used to determine the optimal cutoff value of PNI before radiotherapy, 231 patients were divided into the better-nourishment group ( n=86) and worse-nourishment group ( n=145). Kaplan- Meier method was used for survival analysis. Cox proportional hazards model was utilized to analyze the relationship between different nutritional status and prognosis. The short-term clinical efficacy and incidence of acute toxicities were statistically compared between two groups. Results:The mean values of PNI before, at week 3, week 6 and 1 month after radiotherapy were48.68±5.08, 39.68±4.87, 43.74±4.89 and48.31±4.92, respectively. The optimal cutoff value of pretreatment PNI was 49.25, the area under the curve (AUC) was 0.655, the sensitivity and specificity were 68.6% and 60.9%, respectively. The 5-year overall survival (OS) and progression-free survival (PFS) rates in the better-nourishment group (PNI≥49.25) were 36.0% and 31.3%, significantly better than 19.3% and 18.6% in the worse-nourishment group (PNI<49.25)( P=0.001, P=0.039). Multivariate analysis showed PNI before the therapy was an independent prognostic factor for OS ( P=0.021). Stratified analysis demonstrated that Stage Ⅰ/Ⅱ and concurrent chemotherapy patients in the better-nourishment group all obtained significantly better OS than their counterparts in the worse-nourishment group ( P=0.007, P=0.004). In addition, the objective response rate in the better-nourishment group was significantly higher than that in the worse-nourishment group ( P=0.047), whereas the incidence of ≥3 grade radiation esophagitis was lower than that in the worse-nourishment group ( P=0.060). Conclusions:Pretreatment PNI is a convenient and reliable indicator for predicting the long-term survival of ESCC patients after definitive chemoradiotherapy or radiotherapy. Patients with higher PNI have relatively better prognosis and radiotherapy tolerance, especially in those with early stage or concurrent chemotherapy.
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Objective:To study the prognostic impact of prognostic nutritional index (PNI) before radiotherapy in clinical stage Ⅲ esophageal cancer patients.Methods:We retrospectively reviewed 125 esophageal cancer patients with clinical stage Ⅲ undergoing definitive radiotherapy in Fourth Hospital of Hebei Medical University from 2013 to 2017. The PNI and nutritional risk index (NRI) were calculated before radiotherapy. The optimal cutoff value of PNI was determined by time-dependent receiver operating characteristics (ROC) at 49.925.The patients were divided into low PNI group(PNI<49.925) and high PNI group (PNI≥49.925). Based on NRI, the patients were divided into normal NRI group (NRI≥100) and abnormal NRI group (NRI<100). Kaplan-Meier method was used to calculate the overall survival (OS) and progression-free survival (PFS) and to perform univariate analysis. The mutlivariate analysis was performed by Cox regression model.Results:PNI was positively correlated with hemoglobin ( r=0.505, P<0.001) and NRI ( r=0.594, P<0.001). The 1-, 3- and 5-year OS rates in the low PNI group were significantly lower than those of the high PNI group (67.5%, 27.3%, 11.4% vs. 85.4%, 45.8%, 27.4%, respectively, χ2=8.569, P<0.05). Moreover, the 1-, 3- and 5-year PFS rates in the low PNI group were obviously higher than those in the high PNI group (59.7%, 23.2%, 4.9% vs. 79.2%, 35.4%, 24.9%, respectively, χ2=6.715, P<0.05). Univariate analysis showed that GTV, radiotherapy dose, chemotherapy, albumin, NRI and PNI were significantly correlated with OS and PFS (OS: χ2=6.822, 4.326, 4.474, 13.123, 8.846, 8.569, P<0.05: PFS: χ2=7.869, 4.636, 5.874, 10.911, 8.544, 6.715, P<0.05). Multivariate analysis showed that GTV, radiotherapy dose and PNI were independent prognostic factors for OS ( P<0.05). And GTV, radiotherapy dose, chemotherapy and PNI were independent prognostic factors for PFS ( P<0.05). Conclusions:The PNI before radiotherapy is a significant and independent predictor for survival of clinical stage Ⅲ esophageal cancer patients. Based on simple and inexpensive standard laboratory measurements, PNI could be a promising prognostic biomarker for esophageal cancer patients.
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Objective To investigate the correlation between the rate of pathological complete response (pCR) and prognostic nutritional index (PNI) in gastric cancer patients who underwent neoadjuvant chemotherapy (NAC). Methods A total of 278 advanced gastric cancer patients who underwent NAC and R0 gastrectomy with D2 lymphadenectomy between January 2012 and March 2017 at the Affiliated Tumor Hospital of Zhengzhou University were analyzed retrospectively. Propensity score matching (PSM) was conducted to reduce the confounding bias between the groups (PNI＜45, 157 patients; PNI≥45, 121 patients). Multivariate analysis was used to determine the independent risk factors of the pCR rate in gastric cancer patients who underwent NAC. Results PNI (OR:3.026;95％ CI:1.261, 7.260;P = 0.013), differentiation (OR:0.470;95％ CI:0.270, 0.819;P = 0.008), and tumor location (OR:0.341;95％ CI:0.164, 0.708;P = 0.004) were the independent risk factors associated with the pCR rate of the gastric cancer patients who underwent NAC. After PSM, PNI (OR:2.728;95％ CI:1.130, 6.587;P = 0.026) was the independent risk factor associated with the rate of pCR after NAC. Conclusion Gastric cancer patients who underwent NAC with low PNI are less likely to get pCR than those with normal PNI.
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Objective@#To explore the effect of nutritional status pre-and during chemoradiotherapy on the prognosis of patients with limited- stage small cell lung cancer (LS-SCLC).@*Methods@#We retrospectively collected medical records of 172 LS-SCLC patients undergoing concurrent chemoradiotherapy in our hospital from 2000 to 2014, with 126 males and 46 females. The data of complete blood count and hepatic and renal function were collected before initial treatment, before radiotherapy, 4 weeks during radiotherapy, and 1 month after complete of treatment. The prognostic nutritional index(PNI)was calculated. Kaplan-Meier method was used to calculate the survival rate. Log-rank test was performed used to compare the survival differences between groups. Multivariate prognostic analysis was performed using Cox regression model.@*Results@#The median overall survival (OS) was 21 months, with median progression-free survival (PFS) of 11 months. At the beginning of treatment, patients with pre-treatment PNI ≥ 53 had significantly superior OS (median 37 vs 15 months, P=0.001) and PFS (median 16 vs 10 months, P=0.017). Patients with pre-treatment hemoglobin ≥140 g/L and <140 g/L had an median OS of 32 months and 17 months (P=0.019), and median PFS of 16 months and 9 months (P=0.040), respectively. During chemoradiation, patients with elevated hemoglobin had similar median OS compared with those had decreased hemoglobin (27 vs 18 months, P=0.063, but superior median PFS (15 vs 9 months, P=0.017). Multivariate analysis revealed that prophylactic cranial irradiation, pre-treatment hemoglobin ≥140 g/L, and pretreatment PNI ≥53 were independent predictors of OS and PFS in patients with LS-SCLC.@*Conclusion@#Pre-treatment nutritional status and the changes of nutritional status during chemoradiotherapy is significantly associated with the prognosis of patients with limited-stage small cell lung cancer. The patients with better pre-treatment nutritional status have a better prognosis.