1
|
Xiao W, Huang L, Guo H, Liu W, Zhang J, Liu Y, Hua T, Yang M. Development and validation of potential phenotypes of serum electrolyte disturbances in critically ill patients and a Web-based application. J Crit Care 2024; 82:154793. [PMID: 38548515 DOI: 10.1016/j.jcrc.2024.154793] [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: 06/11/2023] [Revised: 09/23/2023] [Accepted: 09/26/2023] [Indexed: 06/01/2024]
Abstract
BACKGROUND Electrolyte disturbances are highly heterogeneous and severely affect the prognosis of critically ill patients. Our study was to determine whether data-driven phenotypes of seven electrolytes have prognostic relevance in critically ill patients. METHODS We extracted patient information from three large independent public databases, and clustered the electrolyte distribution of ICU patients based on the extreme value, median value and coefficient of variation of electrolytes. Three plausible clinical phenotypes were calculated using K-means clustering algorithm as the basic clustering method. MIMIC-IV was considered a training set, and two others have been designated as verification set. The robustness of the model was then validated from different angles, providing dynamic and interactive visual charts for more detailed characterization of phenotypes. RESULTS 15,340, 12,445 and 2147 ICU patients with electrolyte records during early ICU stay in MIMIC-IV, eICU-CRD and AmsterdamUMCdb were enrolled. After clustering, three reasonable and interpretable phenotypes are defined as α, β and γ according to the order of clusters. The α and γ phenotype, with significant differences in electrolyte distribution and clinical variables, higher 28-day mortality and longer length of ICU stay (p < 0.001), was further demonstrated by robustness analysis. The α phenotype has significant kidney injury, while the β phenotype has the best prognosis. In addition, the assignment methods of the three phenotypes were developed into a web-based tool for further verification and application. CONCLUSIONS Three different clinical phenotypes were identified that correlated with electrolyte distribution and clinical outcomes. Further validation and characterization of these phenotypes is warranted.
Collapse
Affiliation(s)
- Wenyan Xiao
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Lisha Huang
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Heng Guo
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Wanjun Liu
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Jin Zhang
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Yu Liu
- Key Laboratory of Intelligent Computing and Signal Processing, Anhui University, Ministry of Education, Hefei, Anhui 230601, PR China; School of Integrated Circuits, Anhui University, Anhui, Hefei 230601, PR China
| | - Tianfeng Hua
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Min Yang
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China.
| |
Collapse
|
2
|
Xu J, He Q, Wang M, Liu M, Li Q, Ren Y, Yao M, Li G, Lu K, Zou K, Wang W, Sun X. Handling time-varying treatments in observational studies: A scoping review and recommendations. J Evid Based Med 2024; 17:95-105. [PMID: 38502877 DOI: 10.1111/jebm.12600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 03/05/2024] [Indexed: 03/21/2024]
Abstract
OBJECTIVE Time-varying treatments are common in observational studies. However, when assessing treatment effects, the methodological framework has not been systematically established for handling time-varying treatments. This study aimed to examine the current methods for dealing with time-varying treatments in observational studies and developed practical recommendations. METHODS We searched PubMed from 2000 to 2021 for methodological articles about time-varying treatments, and qualitatively summarized the current methods for handling time-varying treatments. Subsequently, we developed practical recommendations through interactive internal group discussions and consensus by a panel of external experts. RESULTS Of the 36 eligible reports (22 methodological reviews, 10 original studies, 2 tutorials and 2 commentaries), most examined statistical methods for time-varying treatments, and only a few discussed the overarching methodological process. Generally, there were three methodological components to handle time-varying treatments. These included the specification of treatment which may be categorized as three scenarios (i.e., time-independent treatment, static treatment regime, or dynamic treatment regime); definition of treatment status which could involve three approaches (i.e., intention-to-treat, per-protocol, or as-treated approach); and selection of analytic methods. Based on the review results, a methodological workflow and a set of practical recommendations were proposed through two consensus meetings. CONCLUSIONS There is no consensus process for assessing treatment effects in observational studies with time-varying treatments. Previous efforts were dedicated to developing statistical methods. Our study proposed a stepwise workflow with practical recommendations to assist the practice.
Collapse
Affiliation(s)
- Jiayue Xu
- Chinese Evidence-Based Medicine and Cochrane China Center, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
- National Medical Products Administration Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Qiao He
- Chinese Evidence-Based Medicine and Cochrane China Center, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
- National Medical Products Administration Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Mingqi Wang
- Chinese Evidence-Based Medicine and Cochrane China Center, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
- National Medical Products Administration Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Mei Liu
- Chinese Evidence-Based Medicine and Cochrane China Center, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
- National Medical Products Administration Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Qianrui Li
- Chinese Evidence-Based Medicine and Cochrane China Center, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
- National Medical Products Administration Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Yan Ren
- Chinese Evidence-Based Medicine and Cochrane China Center, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
- National Medical Products Administration Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Minghong Yao
- Chinese Evidence-Based Medicine and Cochrane China Center, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
- National Medical Products Administration Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Guowei Li
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China
- Biostatistics Unit, Research Institute at St. Joseph's Healthcare Hamilton, Hamilton, Canada
| | - Kevin Lu
- South Carolina College of Pharmacy, University of South Carolina, Columbia, Columbia, South Carolina, USA
| | - Kang Zou
- Chinese Evidence-Based Medicine and Cochrane China Center, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
- National Medical Products Administration Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Wen Wang
- Chinese Evidence-Based Medicine and Cochrane China Center, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
- National Medical Products Administration Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Xin Sun
- Chinese Evidence-Based Medicine and Cochrane China Center, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
- National Medical Products Administration Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| |
Collapse
|
3
|
Yan T, Zhang C, Ma Y, Xu K, Wu S, Xu F, Han Y, Wei W, Lyu J, Wang Z. Adverse Impact of Sodium Bicarbonate Administration on Multiple Outcomes in Acute Pancreatitis Patients With Hyperlactatemia. Pancreas 2024; 53:e62-e68. [PMID: 38258983 DOI: 10.1097/mpa.0000000000002275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
OBJECTIVE Hyperlactatemia is likely to occur among patients with acute pancreatitis (AP). Sodium bicarbonate (SB) therapy could be applied to correct potential detrimental acidic disturbances, but the exact impact of SB treatment is unknown. This study aims to investigate the impact of SB on AP patients complicated with hyperlactatemia. METHODS The study was conducted based on the database named Medical Information Mart for Intensive Care-IV (MIMIC-IV). Propensity matching (PSM) and inverse probability weighting (IPTW) were used to balance the baseline differences. Multivariate regression and marginal structural Cox models were performed to investigate the association between SB and multiple outcomes. RESULTS Three hundred fifty-three AP patients with hyperlactatemia (initial serum lactate, >2.0 mmol/L) were extracted from the MIMIC-IV database. We found that SB treatment was significantly associated with worse multi-outcomes of AP patients with hyperlactatemia (in-hospital mortality: hazard ratio, 2.46; 95% confidence interval, 1.38-4.39; P < 0.01). Further analysis through marginal structural Cox models showed that SB had adverse impact on in-hospital prognosis of patients with severe lactic acidosis (pH < 7.15,lactate > 2.0 mmol/L). CONCLUSION Sodium bicarbonate might not be an appropriate treatment for AP patients with hyperlactatemia (lactate > 2.0 mmol/L) or with severe lactic acidosis (pH < 7.15, lactate > 2.0 mmol/L).
Collapse
Affiliation(s)
| | | | | | | | | | - Fengshuo Xu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, People's Republic of China
| | | | | | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, People's Republic of China
| | | |
Collapse
|
4
|
Zhao X, Wan X, Gu C, Gao S, Yin J, Wang L, Quan L. Association between Red Blood Cell Distribution Width and Short-Term Mortality in Patients with Paralytic Intestinal Obstruction: Retrospective Data Analysis Based on the MIMIC-III Database. Emerg Med Int 2023; 2023:6739136. [PMID: 37908808 PMCID: PMC10615582 DOI: 10.1155/2023/6739136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 11/10/2022] [Accepted: 11/26/2022] [Indexed: 11/02/2023] Open
Abstract
Objective Elevated red cell distribution (RDW) has been reported to be associated with mortality in patients with acute pancreatitis and cholecystitis admitted to the intensive care unit (ICU). However, evidence for the relationship between RDW and paralytic intestinal obstruction is lacking. Therefore, the article aims to investigate the relationship between RDW and 28-day mortality of the patients with paralytic intestinal obstruction. Patients and Methods. This is a single-center retrospective study. Based on a particular screening criterion, 773 patients with paralytic intestinal obstruction were selected from the Medical Information Mart for Intensive Care III (MIMIC-III) database. Indicators of the first 24 h into the ICU were used to analyze the relationship between RDW and 28-day death from paralytic intestinal obstruction by Kaplan-Meier (K-M) analysis, logistic regression analysis, and stratification analysis. Results The curve fitting exhibited a nonlinear relationship. The K-M curve showed that groups with higher RDW values had lower survival rates. The logistic regression analysis revealed that RDW increased with 28-day mortality in patients with paralytic intestinal obstruction in the fully adjusted model. In the fully adjusted model, OR value and 95% CI from the second to the third quantiles compared to the first quartile (reference group) were 1.89 (1.04, 3.44) and 3.29 (1.82, 5.93), respectively. The results of stratified analysis of each layer had the same trend as those of regression analysis, and the interaction results were not significant. Conclusion Elevated RDW was associated with increased 28-day mortality from paralytic intestinal obstruction in the ICU. This study can help to further explore the relationship between RDW and death in patients with paralytic intestinal obstruction.
Collapse
Affiliation(s)
- Xuelian Zhao
- The First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan 250013, Shandong Province, China
| | - Xinhuan Wan
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250013, Shandong Province, China
| | - Chao Gu
- Department of Anorectal, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong Province, China
| | - Shanyu Gao
- Department of Anorectal, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong Province, China
| | - Jiahui Yin
- School of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250013, Shandong Province, China
| | - Lizhu Wang
- Department of Anorectal, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong Province, China
| | - Longfang Quan
- Department of Anorectal, China Academy of Chinese Medical Sciences Xiyuan Hospital, Beijing 100091, China
| |
Collapse
|
5
|
Zhang Z, Jin P, Feng M, Yang J, Huang J, Chen L, Xu P, Sun J, Hu C, Hong Y. Causal inference with marginal structural modeling for longitudinal data in laparoscopic surgery: A technical note. LAPAROSCOPIC, ENDOSCOPIC AND ROBOTIC SURGERY 2022. [DOI: 10.1016/j.lers.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
|
6
|
Ho KM, Morgan DJR. The Proximal Tubule as the Pathogenic and Therapeutic Target in Acute Kidney Injury. Nephron Clin Pract 2022; 146:494-502. [PMID: 35272287 DOI: 10.1159/000522341] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 01/27/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND In 2004, the term acute kidney injury (AKI) was introduced with the intention of broadening our understanding of rapid declines in renal function and to replace the historical terms of acute renal failure and acute tubular necrosis (ATN). Despite this evolution in terminology, the mechanisms of AKI have stayed largely elusive with the pathophysiological concepts of ATN remaining the mainstay in our understanding of AKI. SUMMARY The proximal tubule (PT), having the highest mitochondrial content in the kidney and relying heavily on oxidative phosphorylation to generate ATP, is vulnerable to ischaemic insults and mitochondrial dysfunction. Histologically, pathological changes in the PT are more consistent than changes to the glomeruli or the loop of Henle in AKI. Physiologically, activation of tubuloglomerular feedback due to PT dysfunction leads to an increase in preglomerular afferent arteriole resistance and a reduction in glomerular filtration. Pharmacologically, frusemide - a drug commonly used in the setting of oliguric AKI - is actively secreted by the PT and its diuretic effect is compromised by its failure to be secreted into the urine and thus be delivered to its site of action at the loop of Henle in AKI. Increases in the urinary, but not plasma biomarkers, of PT injury within 1 h of shock suggest that the PT as the initiation pathogenic target of AKI. KEY MESSAGE Therapeutic agents targeting specifically the PT epithelial cells, in particular its mitochondria - including amino acid ergothioneine and superoxide scavenger MitoTEMPO - show great promises in ameliorating AKI.
Collapse
Affiliation(s)
- Kwok M Ho
- Department of Intensive Care Medicine, Royal Perth Hospital, Perth, Washington, Australia.,Medical School, University of Western Australia, Perth, Washington, Australia.,School of Veterinary & Life Sciences, Murdoch University, Perth, Washington, Australia
| | - David J R Morgan
- Department of Intensive Care Medicine, Fiona Stanley Hospital, Perth, Washington, Australia
| |
Collapse
|
7
|
Xu P, Chen L, Zhu Y, Yu S, Chen R, Huang W, Wu F, Zhang Z. Critical Care Database Comprising Patients With Infection. Front Public Health 2022; 10:852410. [PMID: 35372245 PMCID: PMC8968758 DOI: 10.3389/fpubh.2022.852410] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 02/14/2022] [Indexed: 02/05/2023] Open
Abstract
Patients treated in the intensive care unit (ICU) are closely monitored and receive intensive treatment. Such aggressive monitoring and treatment will generate high-granularity data from both electronic healthcare records and nursing charts. These data not only provide infrastructure for daily clinical practice but also can help to inform clinical studies. It is technically challenging to integrate and cleanse medical data from a variety of sources. Although there are several open-access critical care databases from western countries, there is a lack of this kind of database for Chinese adult patients. We established a critical care database involving patients with infection. A large proportion of these patients have sepsis and/or septic shock. High-granularity data comprising laboratory findings, baseline characteristics, medications, international statistical classification of diseases (ICD) code, nursing charts, and follow-up results were integrated to generate a comprehensive database. The database can be utilized for a variety of clinical studies. The dataset is fully accessible at PhysioNet(https://physionet.org/content/icu-infection-zigong-fourth/1.0/).
Collapse
Affiliation(s)
- Ping Xu
- Emergency Department, Zigong Fourth People's Hospital, Zigong, China
- Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, China
- Institute of Medical Big Data, Zigong Academy of Artificial Intelligence and Big Data for Medical Science, Sichuan, China
| | - Lin Chen
- Department of Critical Care Medicine, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Provincial Key Laboratory for Tropical Cardiovascular Diseases Research, The First Affiliated Hospital of Hainan Medical University, Research Unit of Island Emergency Medicine of Chinese Academy of Medical Sciences, Hainan Medical University, Haikou, China
| | - Yuanfang Zhu
- Department of Health Management Center, Zigong Fourth People's Hospital, Zigong, China
| | - Shuai Yu
- Department of Gynecology, Fushun County Maternal and Child Health Hospital, Fushun, China
| | - Rangui Chen
- Emergency Department, Zigong Fourth People's Hospital, Zigong, China
| | - Wenbin Huang
- Emergency Department, Zigong Fourth People's Hospital, Zigong, China
| | - Fuli Wu
- Department of Obstetrics, Fushun County Maternal and Child Health Hospital, Fushun, China
| | - Zhongheng Zhang
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Provincial Key Laboratory for Tropical Cardiovascular Diseases Research, The First Affiliated Hospital of Hainan Medical University, Research Unit of Island Emergency Medicine of Chinese Academy of Medical Sciences, Hainan Medical University, Haikou, China
- Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, China
- *Correspondence: Zhongheng Zhang
| |
Collapse
|
8
|
Luo XQ, Yan P, Zhang NY, Luo B, Wang M, Deng YH, Wu T, Wu X, Liu Q, Wang HS, Wang L, Kang YX, Duan SB. Machine learning for early discrimination between transient and persistent acute kidney injury in critically ill patients with sepsis. Sci Rep 2021; 11:20269. [PMID: 34642418 PMCID: PMC8511088 DOI: 10.1038/s41598-021-99840-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 09/30/2021] [Indexed: 12/29/2022] Open
Abstract
Acute kidney injury (AKI) is commonly present in critically ill patients with sepsis. Early prediction of short-term reversibility of AKI is beneficial to risk stratification and clinical treatment decision. The study sought to use machine learning methods to discriminate between transient and persistent sepsis-associated AKI. Septic patients who developed AKI within the first 48 h after ICU admission were identified from the Medical Information Mart for Intensive Care III database. AKI was classified as transient or persistent according to the Acute Disease Quality Initiative workgroup consensus. Five prediction models using logistic regression, random forest, support vector machine, artificial neural network and extreme gradient boosting were constructed, and their performance was evaluated by out-of-sample testing. A simplified risk prediction model was also derived based on logistic regression and features selected by machine learning algorithms. A total of 5984 septic patients with AKI were included, 3805 (63.6%) of whom developed persistent AKI. The artificial neural network and logistic regression models achieved the highest area under the receiver operating characteristic curve (AUC) among the five machine learning models (0.76, 95% confidence interval [CI] 0.74-0.78). The simplified 14-variable model showed adequate discrimination, with the AUC being 0.76 (95% CI 0.73-0.78). At the optimal cutoff of 0.63, the sensitivity and specificity of the simplified model were 63% and 76% respectively. In conclusion, a machine learning-based simplified prediction model including routine clinical variables could be used to differentiate between transient and persistent AKI in critically ill septic patients. An easy-to-use risk calculator can promote its widespread application in daily clinical practice.
Collapse
Affiliation(s)
- Xiao-Qin Luo
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China
| | - Ping Yan
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China
| | - Ning-Ya Zhang
- Information Center, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Bei Luo
- Department of Information Systems, City University of Hong Kong, Tat Chee Avenue, Kowloon, 999077, Hong Kong SAR, China
| | - Mei Wang
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China
| | - Ying-Hao Deng
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China
| | - Ting Wu
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China
| | - Xi Wu
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China
| | - Qian Liu
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China
| | - Hong-Shen Wang
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China
| | - Lin Wang
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China
| | - Yi-Xin Kang
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China
| | - Shao-Bin Duan
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China.
| |
Collapse
|
9
|
Xiao Z, Ye H, Li J. The Linkage Between Intraabdominal Hypertension and Acute Kidney Injury Remains To Be Confirmed. Chest 2021; 160:e320-e321. [PMID: 34488981 DOI: 10.1016/j.chest.2021.05.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 05/05/2021] [Indexed: 11/26/2022] Open
Affiliation(s)
- Zhongxiang Xiao
- Clinical Pharmaceutics Department, Affiliated Yueqing Hospital, Wenzhou Medical University, Yueqing, Zhejiang, China
| | - Hua Ye
- Department of Pulmonary and Critical Care Medicine, Affiliated Yueqing Hospital, Wenzhou Medical University, Yueqing, Zhejiang, China
| | - Jifa Li
- Department of Pulmonary and Critical Care Medicine, Affiliated Yueqing Hospital, Wenzhou Medical University, Yueqing, Zhejiang, China.
| |
Collapse
|
10
|
Waskowski J, Hess B, Cioccari L, Irincheeva I, Pfortmueller CA, Schefold JC. Effects of sodium bicarbonate infusion on mortality in medical-surgical ICU patients with metabolic acidosis-A single-center propensity score matched analysis. Med Intensiva 2021; 46:S0210-5691(21)00106-6. [PMID: 34120787 DOI: 10.1016/j.medin.2021.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 04/14/2021] [Accepted: 04/23/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Metabolic acidosis is associated with high mortality. Despite theoretical benefits of sodium-bicarbonate (SB), current evidence remains controversial. We investigated SB-related effects on outcomes in ICU patients with metabolic acidosis. DESIGN Retrospective analysis. SETTING Academic medical center. PATIENTS OR PARTICIPANTS 971 ICU patients with metabolic acidosis defined as arterial pH<7.3 and CO2<45mmHg treated between 2012 and 2016. A propensity score (PS) was estimated using logistic regression. Patients were matched in pairs using the PS. INTERVENTIONS 441 patients were treated with SB 8.4% (SB-group) and n=530 patients were not (control group). MAIN VARIABLES OF INTEREST Primary outcome was all-cause mortality at ICU-discharge. Average Treatment Effect (ATE), Average Treatment effect in Treated (ATT), and estimated relative survival effects at 20 days were computed. RESULTS In the full cohort, we observed considerable differences in pH, base excess, additional acidosis-related indices, and ICU mortality (controls 31% vs. SB-group 56%, p<.001) at baseline between the two groups. After PS-matching (n=174 in each group), no significant difference in ICU mortality was observed (controls 32% vs. SB-group 41%; p=.07). Odds ratios (OR) for ATE and ATT showed no association with ICU mortality (OR ATE: 1.08, 95%-CI 0.99-1.17; p=.08; OR ATT 1.09; 95%-CI 0.99-1.2; p=.09). Hazard ratios at 20-days (multivariable HR, matched sample n=348: 1.16, 95%-CI 0.86-1.56, p=.33) showed similar survival in the two study groups. CONCLUSIONS We did not observe effects of SB infusion on all-cause mortality in critically ill patients with metabolic acidosis.
Collapse
Affiliation(s)
- J Waskowski
- Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
| | - B Hess
- Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Center of Intensive Care Medicine, Luzerner Kantonsspital, Lucerne, Switzerland
| | - L Cioccari
- Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - C A Pfortmueller
- Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - J C Schefold
- Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| |
Collapse
|
11
|
Coppola S, Caccioppola A, Froio S, Chiumello D. Sodium Bicarbonate in Different Critically Ill Conditions: From Physiology to Clinical Practice. Anesthesiology 2021; 134:774-783. [PMID: 33721887 DOI: 10.1097/aln.0000000000003733] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Intravenous sodium bicarbonate is commonly used in several critically ill conditions for the management of acute acidemia independently of the etiology, and for the prevention of acute kidney injury, although this is still controversial from a physiologic point of view.
Collapse
|
12
|
Zhang Z. The author replies. Crit Care Med 2020; 48:e252. [PMID: 32058393 DOI: 10.1097/ccm.0000000000004148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Zhongheng Zhang
- Department of emergency medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| |
Collapse
|
13
|
The Use of Sodium Bicarbonate for Metabolic Acidosis in Patients With Acute Kidney Injury. Crit Care Med 2020; 48:e251-e252. [PMID: 32058392 DOI: 10.1097/ccm.0000000000004111] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
14
|
The Janus faces of bicarbonate therapy in the ICU: con. Intensive Care Med 2019; 46:519-521. [PMID: 31728566 DOI: 10.1007/s00134-019-05842-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 10/23/2019] [Indexed: 10/25/2022]
|