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Gui Y, Palanza Z, Fu H, Zhou D. Acute kidney injury in diabetes mellitus: Epidemiology, diagnostic, and therapeutic concepts. FASEB J 2023; 37:e22884. [PMID: 36943403 PMCID: PMC10602403 DOI: 10.1096/fj.202201340rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 02/16/2023] [Accepted: 03/08/2023] [Indexed: 03/23/2023]
Abstract
Acute kidney injury (AKI) and diabetes mellitus (DM) are public health problems that cause a high socioeconomic burden worldwide. In recent years, the landscape of AKI etiology has shifted: Emerging evidence has demonstrated that DM is an independent risk factor for the onset of AKI, while an alternative perspective considers AKI as a bona fide complication of DM. Therefore, it is necessary to systematically characterize the features of AKI in DM. In this review, we summarized the epidemiology of AKI in DM. While focusing on circulation- and tissue-specific microenvironment changes after DM, we described the active cellular and molecular mechanisms of increased kidney susceptibility to AKI under DM stress. We also reviewed the current diagnostic and therapeutic strategies for AKI in DM recommended in the clinic. Updated recognition of the epidemiology, pathophysiology, diagnosis, and medications of AKI in DM is believed to reveal a path to mitigate the frequency of AKI and DM comorbidity that will ultimately improve the quality of life in DM patients.
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Affiliation(s)
- Yuan Gui
- Division of Nephrology, Department of Medicine, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Zachary Palanza
- Division of Nephrology, Department of Medicine, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Haiyan Fu
- State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA
| | - Dong Zhou
- Division of Nephrology, Department of Medicine, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
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de la Varga-Martínez O, Martín-Fernández M, Heredia-Rodríguez M, Ceballos F, Cubero-Gallego H, Priede-Vimbela JM, Bardají-Carrillo M, Sánchez-de Prada L, López-Herrero R, Jorge-Monjas P, Tamayo E, Gómez-Sánchez E. Influence of Renal Dysfunction on the Differential Behaviour of Procalcitonin for the Diagnosis of Postoperative Infection in Cardiac Surgery. J Clin Med 2022; 11:jcm11247274. [PMID: 36555891 PMCID: PMC9781060 DOI: 10.3390/jcm11247274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/26/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022] Open
Abstract
Background: procalcitonin is a valuable marker in the diagnosis of bacterial infections; however, the impairment of renal function can influence its diagnostic precision. The objective of this study is to evaluate the differential behaviour of procalcitonin, as well as its usefulness in the diagnosis of postoperative pulmonary infection after cardiac surgery, depending on the presence or absence of impaired renal function. Materials and methods: A total of 805 adult patients undergoing cardiac surgery with extracorporeal circulation (CBP) were prospectively recruited, comparing the behaviour of biomarkers between the groups with and without postoperative pneumonia and according to the presence or absence of renal dysfunction. Results: Pulmonary infection was diagnosed in 42 patients (5.21%). In total, 228 patients (28.32%) presented postoperative renal dysfunction. Procalcitonin was significantly higher in infected patients, even in the presence of renal dysfunction. The optimal procalcitonin threshold differed markedly in patients with renal dysfunction compared to patients without renal dysfunction (1 vs. 0.78 ng/mL p < 0.05). The diagnostic accuracy of procalcitonin increased significantly when the procalcitonin threshold was adapted to renal function. Conclusions: Procalcitonin is an accurate marker of postoperative infection in cardiac surgery, even in the presence of renal dysfunction. Renal function is an important determinant of procalcitonin levels and, therefore, its diagnostic thresholds must be adapted in the presence of renal dysfunction.
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Affiliation(s)
- Olga de la Varga-Martínez
- Department of Anaesthesiology, Infanta Leonor University Hospital, Gran Via del Este 80, 28031 Madrid, Spain
- BioCritic, Group for Biomedical Research in Critical Care Medicine, Ramon y Cajal Ave. 7, 47005 Valladolid, Spain
- Correspondence: ; Tel.: +34-911918000
| | - Marta Martín-Fernández
- BioCritic, Group for Biomedical Research in Critical Care Medicine, Ramon y Cajal Ave. 7, 47005 Valladolid, Spain
- Center for Biomedical Research in Infectious Diseases Network (CIBERINFEC), Carlos III Health Institute, 28029 Madrid, Spain
- Department of Medicine, Faculty of Medicine, Universidad de Valladolid, 47005 Valladolid, Spain
| | - María Heredia-Rodríguez
- BioCritic, Group for Biomedical Research in Critical Care Medicine, Ramon y Cajal Ave. 7, 47005 Valladolid, Spain
- Center for Biomedical Research in Infectious Diseases Network (CIBERINFEC), Carlos III Health Institute, 28029 Madrid, Spain
- Department of Anaesthesiology, Clinical University Hospital of Salamanca, P.° de San Vicente, 58, 37007 Salamanca, Spain
| | - Francisco Ceballos
- Viral Infection and Immunity Unit, National Center for Microbiology, Carlos III Health Institute, 28029 Madrid, Spain
| | - Hector Cubero-Gallego
- Interventional Cardiology Unit, Cardiology Department, Hospital del Mar, 08003 Barcelona, Spain
| | - Juan Manuel Priede-Vimbela
- Department of Anaesthesiology, Clinic University Hospital of Valladolid, Ramon y Cajal Ave. 3, 47003 Valladolid, Spain
| | - Miguel Bardají-Carrillo
- Department of Anaesthesiology, Clinic University Hospital of Valladolid, Ramon y Cajal Ave. 3, 47003 Valladolid, Spain
| | - Laura Sánchez-de Prada
- BioCritic, Group for Biomedical Research in Critical Care Medicine, Ramon y Cajal Ave. 7, 47005 Valladolid, Spain
- Microbiology and Immunology Department, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
| | - Rocío López-Herrero
- BioCritic, Group for Biomedical Research in Critical Care Medicine, Ramon y Cajal Ave. 7, 47005 Valladolid, Spain
- Department of Anaesthesiology, Clinic University Hospital of Valladolid, Ramon y Cajal Ave. 3, 47003 Valladolid, Spain
| | - Pablo Jorge-Monjas
- BioCritic, Group for Biomedical Research in Critical Care Medicine, Ramon y Cajal Ave. 7, 47005 Valladolid, Spain
- Center for Biomedical Research in Infectious Diseases Network (CIBERINFEC), Carlos III Health Institute, 28029 Madrid, Spain
- Department of Anaesthesiology, Clinic University Hospital of Valladolid, Ramon y Cajal Ave. 3, 47003 Valladolid, Spain
- Department of Surgery, Faculty of Medicine, Universidad de Valladolid, 47005 Valladolid, Spain
| | - Eduardo Tamayo
- BioCritic, Group for Biomedical Research in Critical Care Medicine, Ramon y Cajal Ave. 7, 47005 Valladolid, Spain
- Center for Biomedical Research in Infectious Diseases Network (CIBERINFEC), Carlos III Health Institute, 28029 Madrid, Spain
- Department of Anaesthesiology, Clinic University Hospital of Valladolid, Ramon y Cajal Ave. 3, 47003 Valladolid, Spain
- Department of Surgery, Faculty of Medicine, Universidad de Valladolid, 47005 Valladolid, Spain
| | - Esther Gómez-Sánchez
- BioCritic, Group for Biomedical Research in Critical Care Medicine, Ramon y Cajal Ave. 7, 47005 Valladolid, Spain
- Center for Biomedical Research in Infectious Diseases Network (CIBERINFEC), Carlos III Health Institute, 28029 Madrid, Spain
- Department of Anaesthesiology, Clinic University Hospital of Valladolid, Ramon y Cajal Ave. 3, 47003 Valladolid, Spain
- Department of Surgery, Faculty of Medicine, Universidad de Valladolid, 47005 Valladolid, Spain
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Zhang J, Lu X, Wang S, Li H. Neutrophil-to-Lymphocyte Ratio and Erythropoietin Resistance among Maintenance Hemodialysis Patients. Blood Purif 2021; 51:708-713. [PMID: 34649238 DOI: 10.1159/000519644] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/14/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR) are recent prognostic biomarkers associated with inflammation. Increased erythropoiesis resistance index (ERI) may predict the risk of all-cause and cardiovascular mortality in hemodialysis (HD) patients. However, the roles of NLR and PLR in erythropoietin (EPO) responsiveness remain unclear in HD patients. This study aims to investigate the relationship between NLR and PLR and EPO responsiveness in maintenance HD patients. METHODS A total of 299 HD patients were included in this survey. Laboratory data and demographic details were collected. EPO responsiveness was evaluated by ERI. Pearson correlation analysis and logistic regressions were conducted to evaluate the factors that may be associated with EPO responsiveness. RESULTS The EPO responsiveness was positively related to ferritin and negatively related to serum albumin, lymphocytes, and hemoglobin. A multivariate linear regression revealed that only NLR (standardized β = 0.13, p = 0.024) but not PLR (standardized β = 0.107, p = 0.063) was correlated with a higher ERI. CONCLUSION A higher NLR level was shown to be a cheaper method to predict worse EPO responsiveness in HD patients.
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Affiliation(s)
- Jialing Zhang
- Department of Blood Purification, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China,
| | - Xiangxue Lu
- Department of Blood Purification, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Shixiang Wang
- Department of Blood Purification, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Han Li
- Department of Blood Purification, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
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Kim NY, Chae D, Lee J, Kang B, Park K, Kim SY. Development of a risk scoring system for predicting acute kidney injury after minimally invasive partial and radical nephrectomy: a retrospective study. Surg Endosc 2020; 35:1626-1635. [PMID: 32297056 DOI: 10.1007/s00464-020-07545-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 04/03/2020] [Indexed: 12/29/2022]
Abstract
BACKGROUND Acute kidney injury after partial or radical nephrectomy remains an unsolved problem even when using minimally invasive techniques. We aimed to identify risk factors for acute kidney injury (AKI) after minimally invasive nephrectomy and to develop a clinical risk scoring system. METHODS Medical records of 1762 patients who underwent minimally invasive laparoscopic or robot-assisted laparoscopic partial (n = 1009) or radical (n = 753) nephrectomy from December 2005 to November 2018 were reviewed. Candidate risk factors were screened using univariate analysis and ranked using linear discriminant analysis; top ranking factors were incorporated into a multivariate logistic regression model. Then, the final clinical scoring system was created based on the estimated odds ratios. RESULTS The incidence of acute kidney injury after partial or radical nephrectomy was 20.3 and 61.6%, respectively. Risk factors incorporated into the scoring system included: size of the parenchymal mass removed (3 < parenchymal mass ≤ 4 cm, 1 point; 4 < parenchymal mass ≤ 6 cm, 3 points; parenchymal mass > 6 cm, 5 points), male sex (2 points), diabetes mellitus (1 point), warm ischemia time ≥ 25 min (1 point), and immediate postoperative neutrophil count ≥ 12,000 µl-1 (1 point) in patients with partial nephrectomy, and sex (male, 10 points; female, 7 points) in patients with radical nephrectomy. For risk scores of 0-4, 5-6, 7, 8-9, and 10 points, the probabilities of acute kidney injury were approximately 10, 20, 40, 60, and 80%, respectively. The predictive accuracy of the scoring system was 0.827 (95% CI 0.789-0.865). CONCLUSION Our risk scoring system could help clinicians identify those at risk of acute kidney injury after minimally invasive partial or radical nephrectomy, thereby optimizing postoperative management.
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Affiliation(s)
- Na Young Kim
- Department of Anesthesiology and Pain Medicine, Anesthesia and Pain Research Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Dongwoo Chae
- Department of Pharmacology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Jongsoo Lee
- Department of Urology and Urological Science Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Byunghag Kang
- Department of Anesthesiology and Pain Medicine, Anesthesia and Pain Research Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Kyungsoo Park
- Department of Pharmacology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
| | - So Yeon Kim
- Department of Anesthesiology and Pain Medicine, Anesthesia and Pain Research Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
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Bezerra IDL, Caillot ARC, Oliveira AFD, Santana-Filho AP, Sassaki GL. Cabernet Sauvignon wine polysaccharides attenuate sepsis inflammation and lethality in mice. Carbohydr Polym 2019; 210:254-263. [DOI: 10.1016/j.carbpol.2019.01.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2018] [Revised: 01/08/2019] [Accepted: 01/08/2019] [Indexed: 01/09/2023]
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Liu X, Ye Y, Mi Q, Huang W, He T, Huang P, Xu N, Wu Q, Wang A, Li Y, Yuan H. A Predictive Model for Assessing Surgery-Related Acute Kidney Injury Risk in Hypertensive Patients: A Retrospective Cohort Study. PLoS One 2016; 11:e0165280. [PMID: 27802302 PMCID: PMC5089779 DOI: 10.1371/journal.pone.0165280] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 10/10/2016] [Indexed: 11/18/2022] Open
Abstract
Background Acute kidney injury (AKI) is a serious post-surgery complication; however, few preoperative risk models for AKI have been developed for hypertensive patients undergoing general surgery. Thus, in this study involving a large Chinese cohort, we developed and validated a risk model for surgery-related AKI using preoperative risk factors. Methods and Findings This retrospective cohort study included 24,451 hypertensive patients aged ≥18 years who underwent general surgery between 2007 and 2015. The endpoints for AKI classification utilized by the KDIGO (Kidney Disease: Improving Global Outcomes) system were assessed. The most discriminative predictor was selected using Fisher scores and was subsequently used to construct a stepwise multivariate logistic regression model, whose performance was evaluated via comparisons with models used in other published works using the net reclassification index (NRI) and integrated discrimination improvement (IDI) index. Results Surgery-related AKI developed in 1994 hospitalized patients (8.2%). The predictors identified by our Xiang-ya Model were age, gender, eGFR, NLR, pulmonary infection, prothrombin time, thrombin time, hemoglobin, uric acid, serum potassium, serum albumin, total cholesterol, and aspartate amino transferase. The area under the receiver-operating characteristic curve (AUC) for the validation set and cross validation set were 0.87 (95% CI 0.86–0.89) and (0.89; 95% CI 0.88–0.90), respectively, and was therefore similar to the AUC for the training set (0.89; 95% CI 0.88–0.90). The optimal cutoff value was 0.09. Our model outperformed that developed by Kate et al., which exhibited an NRI of 31.38% (95% CI 25.7%-37.1%) and an IDI of 8% (95% CI 5.52%-10.50%) for patients who underwent cardiac surgery (n = 2101). Conclusions/Significance We developed an AKI risk model based on preoperative risk factors and biomarkers that demonstrated good performance when predicting events in a large cohort of hypertensive patients who underwent general surgery.
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Affiliation(s)
- Xing Liu
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, The People’s Republic of China
| | - Yongkai Ye
- School of Computer, National University of Defense Technology, Changsha, 410073, The People’s Republic of China
| | - Qi Mi
- Department of Sports Medicine and Nutrition, University of Pittsburgh, PA, 15260, United States of America
| | - Wei Huang
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, The People’s Republic of China
| | - Ting He
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, The People’s Republic of China
| | - Pin Huang
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, The People’s Republic of China
| | - Nana Xu
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, 410013, The People’s Republic of China
| | - Qiaoyu Wu
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, The People’s Republic of China
| | - Anli Wang
- Information Department, The Third Xiangya Hospital, Central South University, Changsha, 410013, The People’s Republic of China
| | - Ying Li
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, The People’s Republic of China
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, 410013, The People’s Republic of China
- * E-mail: (YL); (HY)
| | - Hong Yuan
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, The People’s Republic of China
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, 410013, The People’s Republic of China
- * E-mail: (YL); (HY)
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Maravitsa P, Adamopoulou M, Pistiki A, Netea MG, Louis K, Giamarellos-Bourboulis EJ. Systemic over-release of interleukin-17 in acute kidney injury after septic shock: Clinical and experimental evidence. Immunol Lett 2016; 178:68-76. [DOI: 10.1016/j.imlet.2016.08.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 08/04/2016] [Accepted: 08/08/2016] [Indexed: 01/13/2023]
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