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Chen L, Zhang S, Luo M, He C, You Z, Zhang L, Zeng J, Chen J, Lin K, Guo Y. Assessing the Predictive Value of Different Nutritional Indexes for Contrast-Associated Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Intervention. Circ J 2024; 88:902-910. [PMID: 38030266 DOI: 10.1253/circj.cj-23-0479] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
BACKGROUND The link between malnutrition and poor prognosis in cardiovascular disease has been established but the association between malnutrition and contrast-associated acute kidney injury (CA-AKI), a common complication of coronary procedures, remains poorly understood. In this study we investigated the predictive value of 3 nutritional indexes for CA-AKI in patients undergoing percutaneous coronary intervention (PCI).Methods and Results: The study included a total of 6,049 consecutive patients undergoing PCI between May 2012 and September 2020, among whom 352 (5.8%) developed CA-AKI. We used the Controlling Nutritional Status (CONUT) score, the Geriatric Nutritional Risk Index (GNRI), and the Prognostic Nutritional Index (PNI) to assess the association between malnutrition risk and CA-AKI after PCI. Multivariate logistic regression analysis revealed that malnutrition, as identified by GNRI and PNI, was significantly associated with a higher risk of CA-AKI (moderate-severe malnutrition in GNRI: odds ratio [OR]=1.92, [95% confidence interval (CI), 1.27-2.85]; malnutrition in PNI: OR=1.87, [95% CI, 1.39-2.50]), whereas the CONUT score did not demonstrate a significant difference (P>0.05). Furthermore, GNRI (∆AUC=0.115, P<0.001) and PNI (∆AUC=0.101, P<0.001) exhibited superior predictive ability than the CONUT score for CA-AKI and significantly improved reclassification and discrimination in the fully adjusted model. CONCLUSIONS Malnutrition, especially identified by the GNRI and PNI, was associated with a higher risk of CA-AKI after PCI. GNRI and PNI performed better than the CONUT score in predicting CA-AKI.
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Affiliation(s)
- Lichuan Chen
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Cardiovascular Institute, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases
- Fujian Heart Failure Center Alliance
| | - Sicheng Zhang
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Cardiovascular Institute, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases
- Fujian Heart Failure Center Alliance
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Manqing Luo
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Cardiovascular Institute, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases
- Fujian Heart Failure Center Alliance
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Chen He
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Cardiovascular Institute, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases
- Fujian Heart Failure Center Alliance
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Zhebin You
- Fujian Key Laboratory of Geriatrics, Department of Geriatric Medicine, Fujian Provincial Hospital, Fujian Provincial Center for Geriatrics, Fujian Medical University
| | - Liwei Zhang
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Cardiovascular Institute, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases
- Fujian Heart Failure Center Alliance
| | - Jilang Zeng
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Cardiovascular Institute, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases
- Fujian Heart Failure Center Alliance
| | - Junhan Chen
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Cardiovascular Institute, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases
- Fujian Heart Failure Center Alliance
| | - Kaiyang Lin
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Cardiovascular Institute, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases
- Fujian Heart Failure Center Alliance
| | - Yansong Guo
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Cardiovascular Institute, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases
- Fujian Heart Failure Center Alliance
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Chen JJ, Lee TH, Lai PC, Chang CH, Wu CH, Huang YT. Prognostic nutritional index as a predictive marker for acute kidney injury in adult critical illness population: a systematic review and diagnostic test accuracy meta-analysis. J Intensive Care 2024; 12:16. [PMID: 38671543 PMCID: PMC11046764 DOI: 10.1186/s40560-024-00729-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 04/06/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND The prognostic nutritional index (PNI), integrating nutrition and inflammation markers, has been increasingly recognized as a prognostic predictor in diverse patient cohorts. Recently, its effectiveness as a predictive marker for acute kidney injury (AKI) in various clinical settings has gained attention. This study aims to assess the predictive accuracy of the PNI for AKI in critically ill populations through systematic review and meta-analysis. METHODS A systematic review was conducted using the databases MEDLINE, EMBASE, PubMed, and China National Knowledge Infrastructure up to August 2023. The included trials reported the PNI assessment in adult population with critical illness and its predictive capacity for AKI. Data on study characteristics, subgroup covariates, and diagnostic performance of PNI, including sensitivity, specificity, and event rates, were extracted. A diagnostic test accuracy meta-analysis was performed. Subgroup analyses and meta-regression were utilized to investigate the sources of heterogeneity. The GRADE framework evaluated the confidence in the meta-analysis's evidence. RESULTS The analysis encompassed 16 studies with 17 separate cohorts, totaling 21,239 patients. The pooled sensitivity and specificity of PNI for AKI prediction were 0.67 (95% CI 0.58-0.74) and 0.74 (95% CI 0.67-0.80), respectively. The pooled positive likelihood ratio was 2.49 (95% CI 1.99-3.11; low certainty), and the negative likelihood ratio was 0.46 (95% CI 0.37-0.56; low certainty). The pooled diagnostic odds ratio was 5.54 (95% CI 3.80-8.07), with an area under curve of summary receiver operating characteristics of 0.76. Subgroup analysis showed that PNI's sensitivity was higher in medical populations than in surgical populations (0.72 vs. 0.55; p < 0.05) and in studies excluding patients with chronic kidney disease (CKD) than in those including them (0.75 vs. 0.56; p < 0.01). Overall, diagnostic performance was superior in the non-chronic kidney disease group. CONCLUSION Our study demonstrated that PNI has practical accuracy for predicting the development of AKI in critically ill populations, with superior diagnostic performance observed in medical and non-CKD populations. However, the diagnostic efficacy of the PNI has significant heterogeneity with different cutoff value, indicating the need for further research.
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Affiliation(s)
- Jia-Jin Chen
- Kidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou Branch, Chang Gung university, Taoyuan, 33305, Taiwan
| | - Tao-Han Lee
- Department of Nephrology, Chansn Hospital, Taoyuan City, 33305, Taiwan
| | - Pei-Chun Lai
- Education Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Hsiang Chang
- Kidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou Branch, Chang Gung university, Taoyuan, 33305, Taiwan
| | - Che-Hsiung Wu
- Division of Nephrology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, 231, Taiwan.
- School of Medicine, Tzu Chi University, Hualien, 970, Taiwan.
| | - Yen-Ta Huang
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No. 138, Shengli Road, Tainan, 701, Taiwan.
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Hongya D, Linfan D, Chunyuan H, Jun J, Bin L, Jian Z, Gang L. Prognostic Nutritional Index Enhances the Discriminatory Ability of Procalcitonin for Predicting Pediatric Sepsis. Glob Pediatr Health 2024; 11:2333794X241245277. [PMID: 38606322 PMCID: PMC11008342 DOI: 10.1177/2333794x241245277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 03/09/2024] [Accepted: 03/19/2024] [Indexed: 04/13/2024] Open
Abstract
Objective. Improving diagnostic ability of pediatric sepsis is of great significance for reducing the mortality of sepsis. This study explored the discriminatory capacity of nutritional index (PNI) in pediatric sepsis. Methods. We retrospectively enrolled 134 children with suspected sepsis and collected their clinical and laboratory data. Receiver operating characteristic curves (ROC), decision curve analysis (DCA) and net reclassification improvement (NRI) were performed to compare the predictive significance of the PNI, procalcitonin (PCT) and their combination. Results. Among 134 patients, 65 children were diagnosed with sepsis and 69 children with non-sepsis. PCT and PNI were independently associated with pediatric sepsis. PCT was superior to PNI to predict pediatric sepsis. The model based on PCT + PNI improved the predictive capacity than them alone, as demonstrated by ROC, DCA and NRI, respectively. Conclusion. PNI was independently associated with pediatric sepsis, and addition of PNI could improve the capacity of PCT to predict pediatric sepsis.
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Affiliation(s)
- Deng Hongya
- Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Birth Defects, Luzhou, Sichuan, China
| | - Deng Linfan
- Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Birth Defects, Luzhou, Sichuan, China
| | - He Chunyuan
- Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Birth Defects, Luzhou, Sichuan, China
| | - Jiang Jun
- Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Metabolic Vascular Diseases Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
| | - Liu Bin
- Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Birth Defects, Luzhou, Sichuan, China
| | - Zhao Jian
- Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Birth Defects, Luzhou, Sichuan, China
| | - Li Gang
- Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Birth Defects, Luzhou, Sichuan, China
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Shimoyama Y, Kadono N, Umegaki O. Presepsin is a more useful predictor of septic AKI and ARDS for very-old sepsis patients than for young sepsis patients in ICUs: a pilot study. BMC Res Notes 2024; 17:53. [PMID: 38378647 PMCID: PMC10877906 DOI: 10.1186/s13104-024-06719-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 02/14/2024] [Indexed: 02/22/2024] Open
Abstract
OBJECTIVE Sepsis is a syndrome of life-threatening organ dysfunction. This study aimed to determine whether presepsin is a useful predictor of septic acute kidney injury (AKI), acute respiratory distress syndrome (ARDS), disseminated intravascular coagulation (DIC), and shock in very-old sepsis patients aged 75 years in intensive care units (ICUs). RESULTS A total of 83 adult patients diagnosed with sepsis were prospectively examined and divided into two groups: those aged 75 years and older (over 75 group) and those aged younger than 75 years (under 75 group). Presepsin values were measured after ICU admission. Inflammation-based prognostic scores were also examined. For category classification, total scores ("inflammation-presepsin scores [iPS]") were calculated. Presepsin values, inflammation-based prognostic scores, and iPS were compared between patients with septic AKI, ARDS, DIC, or shock and those without these disorders in the over 75 and under 75 groups. Areas under the curve of presepsin for predicting septic AKI and ARDS in the over 75 group were both > 0.7, which were significantly higher than those in the under 75 group. In conclusion, presepsin is a more useful predictor of septic AKI and ARDS for very-old sepsis patients (over 75 years) than for younger sepsis patients (under 75 years).
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Affiliation(s)
- Yuichiro Shimoyama
- Department of Anesthesiology, Intensive Care Unit, Osaka Medical and Pharmaceutical University, Osaka Medical and Pharmaceutical University Hospital, 2-7 Daigaku-Machi, Takatsuki, Osaka, 569-8686, Japan.
| | - Noriko Kadono
- Department of Anesthesiology, Intensive Care Unit, Osaka Medical and Pharmaceutical University, Osaka Medical and Pharmaceutical University Hospital, 2-7 Daigaku-Machi, Takatsuki, Osaka, 569-8686, Japan
| | - Osamu Umegaki
- Department of Anesthesiology, Intensive Care Unit, Osaka Medical and Pharmaceutical University, Osaka Medical and Pharmaceutical University Hospital, 2-7 Daigaku-Machi, Takatsuki, Osaka, 569-8686, Japan
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Gao T, Yu X. Association between nutritional status scores and the 30-day mortality in patients with acute kidney injury: an analysis of MIMIC-III database. BMC Nephrol 2023; 24:296. [PMID: 37803270 PMCID: PMC10559585 DOI: 10.1186/s12882-023-03329-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 09/10/2023] [Indexed: 10/08/2023] Open
Abstract
BACKGROUND Studies have proven that the risk of acute kidney injury (AKI) increased in patients with malnutrition. Prognostic nutritional index (PNI) and geriatric nutritional risk index (GNRI) were general tools to predict the risk of mortality, but the prognostic value of them for in-hospital mortality among patients with AKI have not been validated yet. Herein, this study aims to explore the association between PNI and GNRI and 30-day mortality in patients with AKI. METHODS Demographic and clinical data of 863 adult patients with AKI were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database in 2001-2012 in this retrospective cohort study. Univariate and multivariate Cox proportional regression analyses were used to explore the association between PNI and GNRI and 30-day mortality. The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). Subgroup analyses of age, Sequential Organ Failure Assessment (SOFA) score and Simplified Acute Physiology (SAPS-II) score were also performed. RESULTS Totally, 222 (26.71%) patients died within 30 days. After adjusting for covariates, PNI ≥ 28.5 [HR = 0.71, 95%CI: (0.51-0.98)] and GNRI ≥ 83.25 [HR = 0.63, 95%CI: (0.47-0.86)] were both associated with low risk of 30-day mortality. These relationships were also found in patients who aged ≥ 65 years old. Differently, high PNI level was associated with low risk of 30-day mortality among patients with SOFA score < 6 or SAPS-II score < 43, while high GNRI was associated with low risk of 30-day mortality among those who with SOFA score ≥ 6 or SAPS-II score ≥ 43 (all P < 0.05). CONCLUSION PNI and GNRI may be potential predictors of 30-day mortality in patients with AKI. Whether the PNI is more recommended for patients with mild AKI, while GNRI for those with severe AKI is needed further exploration.
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Affiliation(s)
- Tingting Gao
- Department of Comprehensive Medical, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, Shanxi, P.R. China
| | - Xueyuan Yu
- Department of Nephrology, Qi Lu Hospital of Shandong University, No.107 Wenhua west road, Lixia District, Jinan, 250012, Shandong, P.R. China.
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Ragán D, Kustán P, Horváth-Szalai Z, Szirmay B, Miseta A, Woth G, Kőszegi T, Mühl D. Presepsin: gelsolin ratio, as a promising marker of sepsis-related organ dysfunction: a prospective observational study. Front Med (Lausanne) 2023; 10:1126982. [PMID: 37215727 PMCID: PMC10196472 DOI: 10.3389/fmed.2023.1126982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 04/14/2023] [Indexed: 05/24/2023] Open
Abstract
Introduction We aimed to facilitate the diagnosis and prognosis of sepsis-related organ dysfunction through analyzing presepsin (PSEP) and gelsolin (GSN) levels along with a novel marker, the presepsin:gelsolin (PSEP:GSN) ratio. Methods Blood samples were collected from septic patients at the intensive care unit (ICU) at three time points (T1-3): T1: within 12 h after admission; T2: second day morning; T3: third day morning. Sampling points for non-septic ICU patients were T1 and T3. PSEP was measured by a chemiluminescence-based POCT method while GSN was determined by an automated immune turbidimetric assay. Data were compared with routine lab and clinical parameters. Patients were categorized by the Sepsis-3 definitions. PSEP:GSN ratio was evaluated in major sepsis-related organ dysfunctions including hemodynamic instability, respiratory insufficiency and acute kidney injury (AKI). Results In our single center prospective observational study, 126 patients were enrolled (23 control, 38 non-septic and 65 septic patients). In contrast to controls, significantly elevated (p < 0.001) admission PSEP:GSN ratios were found in non-septic and septic patients. Regarding 10-day mortality prediction, PSEP:GSN ratios were lower (p < 0.05) in survivors than in non-survivors during follow-up, while the prognostic performance of PSEP:GSN ratio was similar to widely used clinical scores (APACHE II, SAPS II, SOFA). PSEP:GSN ratios were also higher (p < 0.001) in patients with sepsis-related AKI than septic non-AKI patients during follow-up, especially in sepsis-related AKI patients needing renal replacement therapy. Furthermore, increasing PSEP:GSN ratios were in good agreement (p < 0.001) with the dosage and the duration of vasopressor requirement in septic patients. Moreover, PSEP:GSN ratios were markedly greater (p < 0.001) in patients with septic shock than in septic patients without shock. Compared to septic patients requiring oxygen supplementation, substantially elevated (p < 0.001) PSEP:GSN ratios were observed in septic patients with demand for mechanical ventilation, while higher PSEP:GSN ratios (p < 0.001) were also associated with extended periods of mechanical ventilation requirement in septic patients. Conclusion PSEP:GSN ratio could be a useful complementary marker besides the routinely used SOFA score regarding the diagnosis and short term mortality prediction of sepsis. Furthermore, the significant increase of this biomarker may also indicate the need for prolonged vasopressor or mechanical ventilation requirement of septic patients. PSEP:GSN ratio could yield valuable information regarding the extent of inflammation and the simultaneous depletion of the patient's scavenger capacity during sepsis. Clinical trail registration NIH U.S. National Library of Medicine, ClinicalTrails.gov. Trial identifier: NCT05060679, (https://clinicaltrials.gov/ct2/show/NCT05060679) 23.03.2022, Retrospectively registered.
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Affiliation(s)
- Dániel Ragán
- Department of Laboratory Medicine, University of Pécs Medical School, Pécs, Hungary
- Department of Anesthesiology and Intensive Therapy, University of Pécs Medical School, Pécs, Hungary
| | - Péter Kustán
- Department of Laboratory Medicine, University of Pécs Medical School, Pécs, Hungary
| | - Zoltán Horváth-Szalai
- Department of Laboratory Medicine, University of Pécs Medical School, Pécs, Hungary
- János Szentágothai Research Center, University of Pécs, Pécs, Hungary
| | - Balázs Szirmay
- Department of Laboratory Medicine, University of Pécs Medical School, Pécs, Hungary
| | - Attila Miseta
- Department of Laboratory Medicine, University of Pécs Medical School, Pécs, Hungary
| | - Gábor Woth
- Department of Anesthesiology and Intensive Therapy, University of Pécs Medical School, Pécs, Hungary
- Department of Anesthesia, Intensive Care and Pain Medicine, Klinik Ottakring, Vienna, Austria
| | - Tamás Kőszegi
- Department of Laboratory Medicine, University of Pécs Medical School, Pécs, Hungary
- János Szentágothai Research Center, University of Pécs, Pécs, Hungary
- National Laboratory on Human Reproduction, University of Pécs, Pécs, Hungary
| | - Diána Mühl
- Department of Anesthesiology and Intensive Therapy, University of Pécs Medical School, Pécs, Hungary
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Kyo D, Tokuoka S, Katano S, Hisamune R, Yoshimoto H, Murao S, Umemura Y, Takasu A, Yamakawa K. Comparison of Nutrition Indices for Prognostic Utility in Patients with Sepsis: A Real-World Observational Study. Diagnostics (Basel) 2023; 13:diagnostics13071302. [PMID: 37046520 PMCID: PMC10093319 DOI: 10.3390/diagnostics13071302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/25/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Background: Nutritional status of critically ill patients is an important factor affecting complications and mortality. This study aimed to investigate the impact of three nutritional indices, the Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT), on mortality in patients with sepsis in Japan. Methods: This retrospective observational study used the Medical Data Vision database containing data from 42 acute-care hospitals in Japan. We extracted data on baseline characteristics on admission. GNRI, PNI, and CONUT scores on admission were also calculated. To evaluate the significance of these three nutritional indices on mortality, we used logistic regression to fit restricted cubic spline models and constructed Kaplan–Meier survival curves. Results: We identified 32,159 patients with sepsis according to the inclusion criteria. Of them, 1804 patients were treated in intensive care units, and 3461 patients were non-survivors. When the GNRI dropped below 100, the risk of mortality rose sharply, as did that when the PNI dropped below about 40. An increased CONUT score was associated with increased mortality in an apparent linear manner. Conclusion: In sepsis management, GNRI and PNI values may potentially be helpful in identifying patients with a high risk of death.
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Affiliation(s)
- Django Kyo
- Faculty of Medicine, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Japan; (D.K.)
| | - Shiho Tokuoka
- Faculty of Medicine, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Japan; (D.K.)
| | - Shunsuke Katano
- Faculty of Medicine, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Japan; (D.K.)
| | - Ryo Hisamune
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Japan
| | - Hidero Yoshimoto
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Japan
- Department of Surgery, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Japan
| | - Shuhei Murao
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, 2-15 Yamadaoka, Suita 565-0871, Japan
| | - Yutaka Umemura
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, 3-1-56 Bandai-Higashi, Sumiyoshi 558-8558, Japan
| | - Akira Takasu
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Japan
| | - Kazuma Yamakawa
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Japan
- Correspondence: ; Tel.: +81-72-683-1221
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Matsuo T, Fujita Y, Amagai T. Prognostic nutritional index as outcome predictor in patients with iliopsoas abscess. Medicine (Baltimore) 2022; 101:e31256. [PMID: 36316935 PMCID: PMC9622649 DOI: 10.1097/md.0000000000031256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Cases with iliopsoas abscess (IPA) in a single hospital-based cases were reviewed and compared with clinical profiles of published hospital-based IPA series. To verify usefulness of prognostic nutritional index (PNI) used to predict outcome and severity of IPA, this study was performed. This study consists of 2 parts: Study 1 - Case review of IPA series in a single hospital: 7 cases with IPA treated in a single hospital in sequential 5 years were collected (series 1) and their clinical profiles compared. Study 2 - Review of hospital-based literature: A search of the PubMed database from 1990 to the present was performed, using the Boolean expression ([Psoas OR iliopsoas] AND [abscess] AND [hospital-based]). Two hospital-based case series were collected. The clinical profiles of 2 series were compared with series 1 to draw predictive factors of outcome and deciding treatment modality, medical or surgical. Study 1 - Analyzing 7 IPA cases, average age was 76.7 years old (varying from 64 to 91) and the lifesaving rate was 86%. PNI < 45, calculated with serum albumin (Alb) and total lymphocyte count, and larger cumulative abscess volume (CAV) measured by computed tomography seem outcome predictors. Study 2 - Analyzing 2 hospital-based IPA series (series 2 and 3), series 2 reviewed isolated IPA cases without any comorbidities and series 3 reviewed IPA cases with cardiovascular disorders. Among 3 series including ours, series 1 showed oldest case and longer length of hospitalization. Series 3 showed the highest mortality among 3 because it collected IPA with cardiovascular comorbidities. PNI seems predictors of outcome and disease activity in patients with IPA and might indicate treated with surgical intervention.
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Affiliation(s)
- Tomomasa Matsuo
- Department of Medicine, Tokunoshima Tokushukai General Hospital, Kagoshima, Japan
| | - Yasuhiko Fujita
- Department of Medicine, Tokunoshima Tokushukai General Hospital, Kagoshima, Japan
- Department of Radiology, Tokunoshima Tokushukai General Hospital, Kagoshima, Japan
| | - Teruyoshi Amagai
- Department of Medicine, Tokunoshima Tokushukai General Hospital, Kagoshima, Japan
- Department of Clinical Engineering, Faculty of Health Care Sciences, University of Jikei Health Care Sciences, Osaka, Japan
- *Correspondence: Teruyoshi Amagai, Department of Clinical Engineering, Faculty of Health Care Sciences, University of Jikei Health Care Sciences, 1-2-8, Miyahara, Yodogawa-Ku, Osaka, Japan (e-mail: )
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Xiao HL, Wang GX, Wang Y, Tan ZM, Zhou J, Yu H, Xie MR, Li CS. Dynamic blood presepsin levels are associated with severity and outcome of acute pancreatitis: A prospective cohort study. World J Gastroenterol 2022; 28:5203-5216. [PMID: 36188715 PMCID: PMC9516673 DOI: 10.3748/wjg.v28.i35.5203] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 07/10/2022] [Accepted: 09/01/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Acute pancreatitis (AP) is an inflammatory disorder of the pancreas with an unpredictable course of illness. A major challenge of AP is the early identification of patients at high-risk for organ failure and death. However, scoring systems are complicated and time consuming, and the predictive values for the clinical course are vague.
AIM To determine whether the dynamic changes in presepsin levels can be used to evaluate the severity of disease and outcome of AP.
METHODS In this multicentric cohort study, 133 patients with AP were included. Clinical severity was dynamically evaluated using the 2012 revised Atlanta Classification. Blood presepsin levels were measured at days 1, 3, 5 and 7 after admission by chemiluminescent enzyme immunoassay.
RESULTS The median concentration of presepsin increased and the clearance rate of presepsin decreased with disease severity and organ failure in AP patients. The presepsin levels on days 3, 5 and 7 were independent predictors of moderately severe and severe AP with time-specific area under the curve (AUC) values of 0.827, 0.848 and 0.867, respectively. The presepsin levels positively correlated with bedside index of severity in AP, Ranson, acute physiology and chronic health evaluation II, computed tomography severity index and Marshall scores. Presepsin levels on days 3, 5 and 7 were independent predictors of 28-d mortality of AP patients with AUC values of 0.781, 0.846 and 0.843, respectively.
CONCLUSION Blood presepsin levels within 7 d of admission were associated with and may be useful to dynamically predict the severity of disease course and 28-d mortality in AP patients.
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Affiliation(s)
- Hong-Li Xiao
- Department of Emergency Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Guo-Xing Wang
- Department of Emergency Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Yan Wang
- Department of Emergency Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Zhi-Min Tan
- Department of Emergency Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Jie Zhou
- Department of Emergency Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Han Yu
- Department of Emergency Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Miao-Rong Xie
- Department of Emergency Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Chun-Sheng Li
- Department of Emergency Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
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10
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Ünver Ulusoy T, Hekimoğlu CH, Kayhan S, Altın N, Şencan İ. Prognostic nutritional index: Is it associated with the prognosis of Crimean Congo hemorrhagic fever. J Med Virol 2022; 94:4910-4917. [PMID: 35726154 DOI: 10.1002/jmv.27947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 05/30/2022] [Accepted: 06/14/2022] [Indexed: 11/07/2022]
Abstract
INTRODUCTION The prognostic nutritional index (PNI) is calculated using total serum lymphocyte counts and albumin levels. We aimed to analyze the role of PNI in predicting intensive care unit (ICU) referral and mortality in patients with Crimean Congo hemorrhagic fever (CCHF). MATERIALS AND METHODS Our target population was adult (age >18) patients who presented between March 2015 and October 2021 within 5 days of symptom emergence and were diagnosed with CCHF. The predictive value of PNI was analyzed by the receiver operating curve analysis. The patients were categorized based on the severity grading scores (SGS) as mild, moderate, and severe. The relationship between PNI and ICU referral and mortality was analyzed by logistic regression analysis. RESULTS Overall, 115 patients with the diagnosis of CCHF were included. 13.9% (n = 16) of the patients were referred to ICU while 11.3% (n = 13) died. A comparison of the patients with different SGS grades revealed that they were significantly different regarding PNI (p < 0.001). There was a significant negative correlation between PNI and SGS (r = -0.662; p < 0.001). PNI had a PV regarding ICU referral and mortality ([area under the curve [AUC] = 0.723, 95% confidence interval [CI]: 0.609-0.836, p = 0.004 [AUC = 0.738, 95% CI: 0.613-0.863, p = 0.005]). The PNI threshold was 36.1 for ICU referral and mortality. The rates of female patients, hospitalization periods longer than 1 week, platelet apheresis replacement, diabetes mellitus, bleeding history, ICU admission, and mortality were significantly higher in patients with a PNI of lower than 36.1 (p < 0.05). CONCLUSION PNI can predict ICU referral and mortality in patients admitted due to CCHF.
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Affiliation(s)
- Tülay Ünver Ulusoy
- Department of Infectious Diseases and Clinical Microbiology, Dışkapı Yıldırım Beyazıt Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - Can H Hekimoğlu
- General Directorate of Public Health, Infection Disease Department, Division of Healthcare-Associated Infectıons, Ankara, Turkey
| | - Sanem Kayhan
- Department of Internal Medicine, Dışkapı Yıldırım Beyazıt Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - Nilgün Altın
- Department of Infectious Diseases and Clinical Microbiology, Dışkapı Yıldırım Beyazıt Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - İrfan Şencan
- Department of Infectious Diseases and Clinical Microbiology, Dışkapı Yıldırım Beyazıt Training and Research Hospital, University of Health Sciences, Ankara, Turkey
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11
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Predictive Values of Procalcitonin and Presepsin for Acute Kidney Injury and 30-Day Hospital Mortality in Patients with COVID-19. Medicina (B Aires) 2022; 58:medicina58060727. [PMID: 35743990 PMCID: PMC9229229 DOI: 10.3390/medicina58060727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 05/26/2022] [Accepted: 05/27/2022] [Indexed: 11/17/2022] Open
Abstract
Background and Objectives: Acute kidney injury (AKI) is a common complication in patients with coronavirus disease 2019 (COVID-19). We investigated the values of procalcitonin (PCT) and presepsin (PSS) for predicting AKI and 30-day hospital mortality in patients with COVID-19. Materials and Methods: We retrospectively evaluated 151 patients with COVID-19 who were admitted to the hospital via the emergency department. The diagnosis of AKI was based on the Kidney Disease: Improving Global Outcomes clinical practice guidelines. Results: The median patient age was 77 years, and 86 patients (57%) were male. Fifty-six patients (37.1%) developed AKI, and 19 patients (12.6%) died within 30 days of hospital admission. PCT and PSS levels were significantly higher in patients with AKI and non-survivors. The cutoff values of PCT levels for predicting AKI and mortality were 2.26 ng/mL (sensitivity, 64.3%; specificity, 89.5%) and 2.67 ng/mL (sensitivity, 68.4%; specificity, 77.3%), respectively. The cutoff values of PSS levels for predicting AKI and mortality were 572 pg/mL (sensitivity, 66.0%; specificity, 69.1%) and 865 pg/mL (sensitivity, 84.6%; specificity, 76.0%), respectively. Conclusion: PCT and PSS are valuable biomarkers for predicting AKI and 30-day hospital mortality in patients with COVID-19.
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12
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Ragán D, Horváth-Szalai Z, Szirmay B, Mühl D. Novel Damage Biomarkers of Sepsis-Related Acute Kidney Injury. EJIFCC 2022; 33:11-22. [PMID: 35645693 PMCID: PMC9092722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Sepsis-related acute kidney injury (AKI) is one of the most common complications of sepsis at the intensive care unit (ICU) with more adverse mortality rates. The early diagnosis and reliable monitoring of sepsis-related AKI are essential in achieving a favorable outcome. Novel serum and urinary biomarkers could yield valuable information during this process. Regarding the widely used Kidney Disease Improving Global Outcomes (KDIGO) classifications, the diagnosis of AKI is still based on the increase of serum creatinine levels and the decrease of urine output; however, these parameters have limitations in reflecting the extent of kidney damage, therefore more sensitive and specific laboratory biomarkers are needed for the early diagnosis and prognosis of sepsis-related AKI. Regarding this, several serum parameters are discussed in this review including presepsin and the most important actin scavenger proteins (gelsolin, Gc-globulin) while other urinary markers are also examined including cell cycle arrest biomarkers, neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule 1 (KIM-1), Cystatin C and actin. Novel biomarkers of sepsis-related AKI could facilitate the early diagnosis and monitoring of sepsis-related AKI.
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Affiliation(s)
- Dániel Ragán
- Department of Laboratory Medicine, Medical School, University of Pécs, Hungary, Department of Anesthesiology and Intensive Therapy, Medical School, University of Pécs, Hungary,Corresponding author: Dániel Ragán Department of Laboratory Medicine Medical School, University of Pécs H-7624 Pécs, Ifjúság u. 13 Hungary Phone: +36 30 364 0402 Fax: +36 72 536 121 E-mail:
| | - Zoltán Horváth-Szalai
- Department of Laboratory Medicine, Medical School, University of Pécs, Hungary, János Szentágothai Research Center, University of Pécs, Hungary
| | - Balázs Szirmay
- Department of Laboratory Medicine, Medical School, University of Pécs, Hungary
| | - Diána Mühl
- Department of Anesthesiology and Intensive Therapy, Medical School, University of Pécs, Hungary
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13
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Red Cell Distribution Width to Platelet Ratio Is Associated with Increasing In-Hospital Mortality in Critically Ill Patients with Acute Kidney Injury. DISEASE MARKERS 2022; 2022:4802702. [PMID: 35082929 PMCID: PMC8786548 DOI: 10.1155/2022/4802702] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/13/2021] [Accepted: 01/05/2022] [Indexed: 12/11/2022]
Abstract
Background. Inflammation plays a key role in the pathophysiology and progression of acute kidney injury (AKI). Red cell distribution width (RDW) to platelet ratio (RPR) is a novel inflammatory index, and its prognostic effect on critically ill patients with AKI is rarely investigated. This work is aimed at investigating the association between RPR and in-hospital mortality in these patients. Methods. Data were extracted from the Medical Information Mart for Intensive Care III database. All-cause death during hospitalization was selected as the primary outcome. Receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value, and the area under the curve (AUC) was applied to compare predictive ability among different indices. Cox proportional hazard models were utilized to assess the association between RPR and in-hospital mortality. Restricted cubic spline analysis for multivariate Cox model was performed to explore the shape of the relationship between RPR and mortality. Results. A total of 24,166 critically ill patients with AKI were included. The relationship of RPR and in-hospital mortality was nonlinear with a trend to rise rapidly and then gradually. For mortality prediction, RPR had the optimal cut-off value of 0.093, of which the AUC was 0.791 (95% confidence interval (CI): 0.773–0.810), which was higher than those of RDW, platelet, sequential organ failure assessment score, simplified acute physiology score II, neutrophil to lymphocyte ratio, and platelet to lymphocytes ratio. After adjustments for various confounders, high RPR showed a significant association with increased mortality with hazard ratios of 1.46 (95% CI: 1.40–1.55) for categorical variable and 1.88 (95% CI: 1.80–1.97) for continuous variables in the fully adjusted model. Conclusions. Elevated RPR on admission is substantially associated with high risk of in-hospital mortality in critically ill patients with AKI and thus may serve as a novel predictor of prognosis for these patients.
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14
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Li T, Qi M, Dong G, Li X, Xu Z, Wei Y, Feng Y, Ren C, Wang Y, Yang J. Clinical Value of Prognostic Nutritional Index in Prediction of the Presence and Severity of Neonatal Sepsis. J Inflamm Res 2022; 14:7181-7190. [PMID: 34992413 PMCID: PMC8710072 DOI: 10.2147/jir.s343992] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 12/08/2021] [Indexed: 12/20/2022] Open
Abstract
Purpose The prognostic nutritional index (PNI) is a common indicator of nutritional and inflammatory status and is associated with various diseases such as cancer, cardiovascular diseases and infectious diseases. However, to date, no study has concentrated on the role of PNI in assessing and predicting the presence and severity of neonatal sepsis. Therefore, the present study aimed to explore the association of the PNI with the presence and severity of neonatal sepsis. Materials and Methods A total of 1196 neonates with suspected sepsis were enrolled in this study and their complete clinical and laboratory data were collected. PNI was calculated as serum albumin (g/L) + 5 × total lymphocyte count (109/L). Multivariate logistic regression analysis was performed to identify the risk factors for the presence and severity of neonatal sepsis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive value of PNI. All statistical analyses were performed using the statistical package SPSS 24.0. Results PNI was lower in neonates with sepsis and decreased significantly with the severity of sepsis. The correlation analysis demonstrated that the PNI was negatively correlated with the levels of the inflammatory marker procalcitonin (PCT) and C-reactive protein (CRP), and the length of hospital stay. Multivariate logistic regression analysis revealed that the PNI was independently and inversely associated with the presence and severity of neonatal sepsis. The area under the ROC curve of the PNI was 0.64 (95% confidence interval (CI): 0.61–0.67, P < 0.001) for severe sepsis and 0.69 (95% CI: 0.60–0.78, P < 0.001) for septic shock. In addition, our data revealed that PNI was also independently correlated with the length of hospital stay. Conclusion PNI is an independent predictor for the presence and severity of neonatal sepsis.
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Affiliation(s)
- Tiewei Li
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, People's Republic of China
| | - Minglu Qi
- Department of Emergency Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Geng Dong
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, People's Republic of China
| | - Xiaojuan Li
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, People's Republic of China
| | - Zhe Xu
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, People's Republic of China
| | - Yulei Wei
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, People's Republic of China
| | - Yichuang Feng
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, People's Republic of China
| | - Chong Ren
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, People's Republic of China
| | - Yaguo Wang
- Institute of Biophysics, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Junmei Yang
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, People's Republic of China
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