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Liu W, Li M, Lian S, Hou X, Ling Y. Geriatric nutritional risk index as a predictor for postoperative complications in patients with solid cancers: a meta-analysis. Front Oncol 2024; 14:1266291. [PMID: 38384816 PMCID: PMC10880863 DOI: 10.3389/fonc.2024.1266291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 01/18/2024] [Indexed: 02/23/2024] Open
Abstract
Background The geriatric nutritional risk index (GNRI) has been wildly used to predict the prognosis of patients with solid cancer, but it's value in postoperative complications remains unclear. The aim of our study was to systematically explore the value of the GNRI in postoperative complications in patients with solid cancer. Method The study conducted a systematic literature search using electronic databases to investigate the influence of the GNRI on postoperative complications in patients with solid cancer. The search covered articles published up until May 2023. The odds ratio (OR) with a 95% confidence interval (CI) was employed to assess the effect of GNRI on postoperative complications. Result A total of 11 studies with 11,002 patients were enrolled in our meta-analysis. The results suggested that patients with a low GNRI have a higher risk of experiencing postoperative complications (OR=2.51, 95%CI 2.05-3.02, z=9.86, p<0.001), a higher risk of suffering Clavien-Dindo (CD) grades≥2 complications(OR=2.24, 95%CI 1.84-2.73, z=8.01, p<0.001), a higher risk of suffering infection (OR=1.85, 95%CI 1.18-2.88, z=2.70, p=0.007) and a higher risk of suffering respiratory complications(OR = 2.94, 95%CI: 1.56-5.55, z=3.31, p=0.001). Conclusion Based on existing evidence, the GNRI was a valuable predictor of postoperative complications in patients with solid cancer. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=434299, identifier CRD42023434299.
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Affiliation(s)
- Weichen Liu
- The Department of Blood Purification, First Affiliated Hospital, Guangxi Medical University, Guangxi, China
| | - Ming Li
- The Department of Oncology, First Affiliated Hospital, Guangxi Medical University, Guangxi, China
| | - Siqin Lian
- The Department of Nursing, First Affiliated Hospital, Guangxi Medical University, Guangxi, China
| | - Xijie Hou
- The Department of Nursing, First Affiliated Hospital, Guangxi Medical University, Guangxi, China
| | - Ying Ling
- The Department of Nursing, First Affiliated Hospital, Guangxi Medical University, Guangxi, China
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Liu ZN, Li ZA, He JD, Wu JL, Qiu L, Zhao ZK, Lu M, Bi H, Lu J. Development and Validation of Nomograms Based on Nutritional Risk Index for Predicting Extracapsular Extension and Seminal Vesicle Invasion in Patients Undergoing Radical Prostatectomy. World J Oncol 2023; 14:505-517. [PMID: 38022403 PMCID: PMC10681782 DOI: 10.14740/wjon1718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 11/06/2023] [Indexed: 12/01/2023] Open
Abstract
Background The aim of the study was to investigate the predictive value of the nutritional risk index (NRI) for extracapsular extension (ECE) and seminal vesicle invasion (SVI) in prostate cancer (PCa) patients undergoing radical prostatectomy (RP), and further develop and validate predictive nomograms for ECE and SVI based on the NRI. Methods We retrospectively analyzed 734 PCa patients who underwent RP between 2010 and 2020 in the Department of Urology at Peking University Third Hospital. The enrolled patients were randomly divided into a primary cohort (n = 489) and a validation cohort (n = 245) in a 2:1 manner. The baseline NRI of patients was calculated using serum albumin level and body mass index, and a malnutrition status was defined as NRI ≤ 98. Univariate and multivariate logistic regression analyses were conducted to identify predictors for ECE and SVI. Nomograms for predicting ECE and SVI were established based on the results of the multivariate logistic regression analysis. The performance of the nomograms was estimated using Harrell's concordance index (C-index), the area under curve (AUC) of receiver operating characteristic (ROC) curves and the calibration curves. Results In the primary cohort, 70 (14.3%) patients with NRI ≤ 98 were classified as malnutrition, while the remaining 419 (85.7%) patients with NRI > 98 were considered to have normal nutrition. The nomograms for predicting ECE and SVI shared common factors including NRI, percentage of positive biopsy cores (PPC) and biopsy Gleason score, while prostate-specific antigen (PSA) levels and PSA density (PSAD) were only incorporated in ECE nomogram. The C-indexes of the nomograms for predicting ECE and SVI were 0.785 (95% confidence interval (CI): 0.745 - 0.826) and 0.852 (95% CI: 0.806 - 0.898), respectively. The calibration curves demonstrated excellent agreement between the predictions by the nomograms and the actual observations. The results remained reproducible when the nomograms were applied to the validation cohort. Conclusions The NRI is significantly associated with ECE and SVI in PCa patients. The nomogram established based on the NRI in our study can provide individualized risk estimation for ECE and SVI in PCa patients, and may be valuable for clinicians in making well-informed decisions regarding treatment strategies and patient management.
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Affiliation(s)
- Ze Nan Liu
- Department of Urology, Peking University Third Hospital, Beijing, China
- These authors contributed equally to this work
| | - Zi Ang Li
- Department of Urology, Peking University Third Hospital, Beijing, China
- These authors contributed equally to this work
| | - Ji De He
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Jia Long Wu
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Lei Qiu
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Zhen Kun Zhao
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Min Lu
- Department of Pathology, Peking University Third Hospital, Beijing, China
| | - Hai Bi
- Department of Urology, Shanghai General Hospital, Shanghai, China
| | - Jian Lu
- Department of Urology, Peking University Third Hospital, Beijing, China
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Ellez HI, Keskinkilic M, Semiz HS, Arayici ME, Kısa E, Oztop I. The Prognostic Nutritional Index (PNI): A New Biomarker for Determining Prognosis in Metastatic Castration-Sensitive Prostate Carcinoma. J Clin Med 2023; 12:5434. [PMID: 37685501 PMCID: PMC10487438 DOI: 10.3390/jcm12175434] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/06/2023] [Accepted: 08/15/2023] [Indexed: 09/10/2023] Open
Abstract
Prognostic nutritional index (PNI), which is calculated using the albumin level reflecting nutritional status and lymphocyte count reflecting immune status, is useful in showing nutritional and immunological status related to survival and prognosis in many cancers. In this study, we aimed to evaluate the biomarker potential and effect of PNI in determining the prognosis of metastatic castration-sensitive prostate cancer (mCSPC). This retrospective observational study included the complete data of 108 patients with mCPSC who were treated for at least three months between 1 January 2010, and 1 June 2021. The relationships between cancer-specific survival (CSS), overall survival (OS), progression-free survival (PFS), and PNI were evaluated. The Kaplan-Meier method for OS, PFS, and CSS, as well as univariate and multivariate Cox regression models, were used for the statistical analyses. The median age of 108 patients included in the study was 68.54 (61.05-74.19) years. A value of 49.75 was determined to be the best cut-off point for the PNI. OS (months) was found to be significantly lower in patients with low PNI (median: 34.93, 95% CI: 21.52-48.34) than in patients with high PNI (median: 65.60, 95% CI: 39.36-91.83) (p = 0.016). Patients with high PNI (median: 48.20, 95% CI: 34.66-61.73) had significantly better CSS (months) than patients with low PNI (median: 27.86, 95% CI: 24.16-31.57) (p = 0.001). There was no statistically significant difference in PFS between patients with high PNI values (median: 24.60, 95% CI: 10.15-39.05) and patients with low PNI values (median: 20.03, 95% CI: 11.06-29.03) (p = 0.092). The PNI is a good predictor of OS and CSS in patients with mCSPC. The prediction of PFS, albeit showing a trend towards significance, was not statistically significant, probably due to the small number of cases.
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Affiliation(s)
- Halil Ibrahim Ellez
- Department of Internal Medicine, Division of Medical Oncology, Dokuz Eylül University, Izmir 35340, Türkiye;
| | - Merve Keskinkilic
- Department of Internal Medicine, Division of Medical Oncology, Dokuz Eylül University, Izmir 35340, Türkiye;
| | - Hüseyin Salih Semiz
- Institute of Oncology, Department of Medical Oncology, Dokuz Eylül University, Izmir 35340, Türkiye; (H.S.S.); (I.O.)
| | - Mehmet Emin Arayici
- Institute of Health Sciences, Department of Preventive Oncology, Dokuz Eylül University, Izmir 35340, Türkiye;
| | - Erdem Kısa
- Department of Urology, Tepecik Education and Research Hospital, Health Science University, Izmir 35180, Türkiye;
| | - Ilhan Oztop
- Institute of Oncology, Department of Medical Oncology, Dokuz Eylül University, Izmir 35340, Türkiye; (H.S.S.); (I.O.)
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Zheng Y, Wang K, Ou Y, Hu X, Wang Z, Wang D, Li X, Ren S. Prognostic value of a baseline prognostic nutritional index for patients with prostate cancer: a systematic review and meta-analysis. Prostate Cancer Prostatic Dis 2023:10.1038/s41391-023-00689-9. [PMID: 37391595 DOI: 10.1038/s41391-023-00689-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/07/2023] [Accepted: 06/21/2023] [Indexed: 07/02/2023]
Abstract
BACKGROUND The prognostic nutritional index (PNI) integrates both nutritional and immune indicators and provides promising prognostic value for various malignancies. However, there is still no specific consensus relating to the precise relationship between the pretreatment PNI and the survival outcome of patients with prostate cancer (PCa). Here, we performed a meta-analysis to determine the prognostic significance of PNI for patients with PCa. METHODS We used the PubMed, EMBASE, Web of Science, Cochrane Library (CENTRAL), and CNKI databases to identify and retrieve eligible articles that were published in any language up to the 1st March 2023. Our analysis considered hazard ratios (HRs) and 95% confidence intervals (CIs) published in the included studies. Data synthesis and analysis were conducted using Stata 15.1 software. RESULTS A total of ten studies featuring 1631 cases were included in our quantitative analysis. Analysis showed that a low PNI at baseline was significantly associated with poor overall survival (OS) (HR: 2.16; 95% CI: 1.40-3.34; p = 0.01), progression-free survival (PFS) (HR: 2.17; 95% CI 1.63-2.89; p < 0.001). Owing to high levels of heterogeneity, we performed subgroup analysis based on disease staging, sample size, and cutoff value; we found that disease staging may have been the source of the heterogeneity. A low pretreatment PNI was associated with poor survival outcomes for both metastatic castration-resistant prostate cancer (mCRPC) patients and nonmetastatic castration-resistant prostate cancer (nmCRPC) patients. CONCLUSIONS A low pretreatment PNI was significantly correlated with a worse OS and PFS in patients with PCa. A low pretreatment PNI may act as a reliable and effective predictor for the prognosis of patients with PCa. Further well-designed studies should be performed to fully evaluate the prognostic performance of this novel indicator for PCa.
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Affiliation(s)
- Yang Zheng
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, China
- Robotic Minimally Invasive Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China
| | - Kai Wang
- Department of Acute Care Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China
| | - Yong Ou
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, China
- Robotic Minimally Invasive Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China
| | - Xu Hu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ziyan Wang
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, China
- The Sichuan Provincial Key Laboratory for Human Disease Gene Study and Department of Laboratory Medicine, Center for Medical Genetics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, Sichuan, China
- Laboratory of Ageing Research, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China
| | - Dong Wang
- Robotic Minimally Invasive Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China.
| | - Xinglan Li
- Department of Pathology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China.
| | - Shangqing Ren
- Robotic Minimally Invasive Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China.
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Matsunaga T, Saito H, Osaki T, Takahashi S, Iwamoto A, Fukuda K, Taniguchi K, Kuroda H, Takeuchi T, Sugamura K, Sumi K, Katano K, Shishido Y, Miyatani K, Fujiwara Y. Impact of geriatric nutritional risk index on outcomes after gastrectomy in elderly patients with gastric cancer: a retrospective multicenter study in Japan. BMC Cancer 2022; 22:540. [PMID: 35549906 PMCID: PMC9103416 DOI: 10.1186/s12885-022-09638-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/06/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Several studies investigated the utility of inflammation and nutritional markers in predicting the prognosis in patients with gastric cancer; however, the markers with the best predictive ability remain unclear. This retrospective study aimed to determine inflammation and nutritional markers that predicted prognosis in elderly patients over 75 years of age undergoing curative gastrectomy for gastric cancer. METHODS Between January 2005 and December 2015, 497 consecutive elderly gastric cancer patients aged over 75 years underwent curative gastrectomy in 12 institutions. The geriatric nutritional risk index (GNRI), prognostic nutritional index, neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, and C-reactive protein/albumin ratio were examined as prognostic markers for overall survival (OS) and disease-specific survival (DSS) using area under the curve (AUC) using receiver operating characteristic (ROC) curve analysis. RESULTS The GNRI had the highest AUC and predictive value for both OS (0.637, p < 0.001) and DSS (AUC 0.645, p < 0.001). The study cohort was categorized into the high and low GNRI groups based on the optimal GNRI cut-off values for OS (97.0) and DSS (95.8) determined with the ROC analysis. For both OS and DSS, there was a significant correlation between the GNRI and several clinicopathological factors including age, body mass index, albumin, American Society of Anesthesiologists physical status score, depth of tumor invasion, lymph node metastasis, lymphatic invasion, pathological stage, operation duration, bleeding, procedure, approach, death due to primary disease, and death due to other disease. The GNRI remained a crucial independent prognostic factor for both OS (Hazard ratio [HR] = 1.905, p < 0.001) and DSS in multivariate analysis (HR = 1.780, p = 0.043). CONCLUSIONS Among a panel of inflammation and nutritional markers, the GNRI exhibited the best performance as a prognostic factor after curative gastrectomy in elderly patients with gastric cancer, indicating its utility as a simple and promising index for predicting OS and DSS in these patients.
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Affiliation(s)
- Tomoyuki Matsunaga
- Division of Gastrointestinal and Pediatric Surgery, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
| | - Hiroaki Saito
- Department of Surgery, Japanese Red Cross Tottori Hospital, Tottori, 680-8517, Japan
| | - Tomohiro Osaki
- Department of Surgery, Tottori Prefectural Central Hospital, Tottori, 680-0901, Japan
| | - Sadamu Takahashi
- National Hospital Organization, Hamada Medical Center, Hamada, 697-8511, Japan
| | - Akemi Iwamoto
- Divisions of Digestive Surgery, Tottori Prefectural Kousei Hospital, Kurayoshi, 682-0804, Japan
| | - Kenji Fukuda
- Department of Surgery, Sanin Rosai Hospital, Yonago, 683-8605, Japan
| | - Kenjiro Taniguchi
- Department of Surgery, Yonago Medical Center of National Hospital Organization, Yonago, 683-0006, Japan
| | - Hirohiko Kuroda
- Department of Surgery, Japanese Red Cross Masuda Hospital, Masuda, 698-8501, Japan
| | - Tsutomu Takeuchi
- Department of Surgery, Tottori Seikyo Hospital, Tottori, 680-0833, Japan
| | - Kenji Sugamura
- Department of Surgery, Yasugi Municipal Hospital, Yasugi, 692-0404, Japan
| | - Kenichi Sumi
- Department of Surgery, Hakuai Hospital, Yonago, 683-0853, Japan
| | - Kuniyuki Katano
- Department of Surgery, The Nanbu Town National Health Insurance Saihaku Hospital, Nanbu, 683-0323, Japan
| | - Yuji Shishido
- Division of Gastrointestinal and Pediatric Surgery, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, 36-1 Nishi-cho, Yonago, 683-8504, Japan
| | - Kozo Miyatani
- Division of Gastrointestinal and Pediatric Surgery, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, 36-1 Nishi-cho, Yonago, 683-8504, Japan
| | - Yoshiyuki Fujiwara
- Division of Gastrointestinal and Pediatric Surgery, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, 36-1 Nishi-cho, Yonago, 683-8504, Japan
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