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Lee F, Frederick RT. Hepatic Encephalopathy-A Guide to Laboratory Testing. Clin Liver Dis 2024; 28:225-236. [PMID: 38548435 DOI: 10.1016/j.cld.2024.01.003] [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] [Indexed: 04/02/2024]
Abstract
Hepatic encephalopathy (HE) remains both a clinical diagnosis and one of exclusion. Laboratory testing is largely focused on identifying precipitating factors. Ammonia levels in the blood can be helpful for the diagnosis of HE but are not required for confirmation. More recent literature is lending support to the prognostic capabilities of ammonia in cirrhosis, both in predicting future HE events and in determining outcomes in hospitalized patients. Accurate ammonia testing requires strict protocols to avoid common pitfalls in the measurement of this labile analyte. Future studies investigating the utility of other laboratory testing to diagnose, stage, or predict HE are encouraged.
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Affiliation(s)
- Frances Lee
- Department of Gastroenterology, California Pacific Medical Center
| | - R Todd Frederick
- Division of Hepatology, Department of Advanced Organ Therapies, California Pacific Medical Center.
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Xu Y, Xu K, Guo J, Fang M, Wang Z. Association between dynamic fluctuations in triiodothyronine levels and prognosis among critically ill patients within comprehensive intensive care units. Front Endocrinol (Lausanne) 2023; 14:1282547. [PMID: 38093954 PMCID: PMC10716294 DOI: 10.3389/fendo.2023.1282547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/13/2023] [Indexed: 12/18/2023] Open
Abstract
Objective Decrease in free thyroid hormone T3 (FT3) can be used as an independent prognostic indicator for the risk of death in ICUs. However, FT3 as a predictive marker is hindered by its accuracy. The study introduces the concept of dynamic FT3 data as a means to bolster the value of FT3 as a prognostic tool. Therefore, the aim of this study is to investigate the prognostic value of dynamic FT3 evolution in a comprehensive ICU setting, analyze the consistency between dynamic FT3 changes and variations in disease severity, and explore the feasibility of FT3 as an objective indicator for real-time clinical treatment feedback. Methods Employing a single-center prospective observational study, FT3 measurements were taken on multiple days following enrollment, corresponding clinical data were collected. To investigated the pattern of dynamic changes of FT3,its prognostic significance in forecasting the risk of 28-day mortality, the alignment between dynamic FT3 changes and variations in the Sequential Organ Failure Assessment (SOFA) score. Results The survival group exhibited higher last FT3 levels compared to the lowest point (p<0.05), while the death group did not show statistically significant differences (p>0.05). The study also identifies the optimal correlation between FT3 and SOFA score at day 5 (optimal correlation coefficient -0.546).The ROC curve for FT3 at day 5 yielded an optimal AUC of 0.88, outperforming the SOFA score. The study categorizes FT3 curve patterns,Kaplan-Meier survival analysis of these patterns highlighted that the descending-type curve was significantly associated with increased risk of death (P<0.001). Additionally, the research explores the consistency between changes in FT3 and SOFA scores. While overall consistency rates were modest, subgroup analyses unveiled that greater disease severity led to higher consistency rates. Conclusions This study introduces the concept of dynamic FT3 changes to augment its prognostic utility in comprehensive ICU settings. The research identifies day 5 as the optimal time point for predictive efficacy, the descending FT3 curve as indicative of poor prognosis. While overall consistency with SOFA scores is modest, the correlation strengthens with greater disease severity.
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Affiliation(s)
- Yu Xu
- Department of Critical Care Medicine, Hebei Medical University Third Hospital, Shijiazhuang, China
| | - Kang Xu
- Department of Critical Care Medicine, Hebei Medical University Third Hospital, Shijiazhuang, China
| | - Jianying Guo
- Department of Critical Care Medicine, Hebei Medical University Third Hospital, Shijiazhuang, China
| | - Mingxing Fang
- Department of Critical Care Medicine, Hebei Medical University Third Hospital, Shijiazhuang, China
| | - Zhiyong Wang
- Department of Critical Care Medicine, Hebei Medical University Third Hospital, Shijiazhuang, China
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Zhang H, Yang K, Wang Q, Jin L, Wang LM, Fan XY, Wang X, Zhou Q, Xu YH. Prealbumin as a Predictor of Short-Term Prognosis in Patients with HBV-Related Acute-on-Chronic Liver Failure. Infect Drug Resist 2023; 16:2611-2623. [PMID: 37152403 PMCID: PMC10162102 DOI: 10.2147/idr.s402585] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 04/13/2023] [Indexed: 05/09/2023] Open
Abstract
Purpose Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is a serious medical condition with a high short-term mortality rate, making accurate prognostic assessment essential for informed clinical decision-making. In this study, we aimed to develop a simple and effective prognostic model for predicting short-term mortality in patients with HBV-ACLF. Patients and Methods To achieve our objective, we enrolled both a cross-sectional cohort (n = 291) and a retrospective cohort (n = 185) in this study. We collected laboratory and clinical data from these cohorts and performed univariate and multivariate logistic regression analyses to identify independent predictors of short-term mortality. Subsequently, we developed a novel prognostic score for HBV-ACLF, which was validated and assessed using receiver operating characteristic (ROC) curve analysis to determine its performance. Results Our analysis revealed that the admission prealbumin (PAB) level was a robust independent predictor of 30-day mortality, with an area under the receiver operating characteristic (AUROC) of 0.760. Moreover, we developed the HIAPP score, a prognostic-score model based on PAB. The HIAPP score was significantly lower in survivors compared to non-survivors (-2.80±0.21 vs 0.97±0.41, P < 0.001). The HIAPP score's AUROC value was 0.899, which was found to be superior to the MELD score (AUROC = 0.795) and the CLIF-C ACLF score (AUC =0.781) and comparable to the COSSH-ACLF II score (AUC =0.825) for predicting 30-day mortality. These findings were also validated in a separate cohort, further supporting the utility of the HIAPP score as a prognostic tool for HBV-ACLF patients. Conclusion Our study identifies the admission PAB level as a simple and valuable predictive index for 30-day mortality in HBV-ACLF patients. Furthermore, the HIAPP score, which incorporates PAB, PLT, INR, HE, and age, is an easy-to-use and pragmatic prognostic score in predicting short-term mortality.
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Affiliation(s)
- Hao Zhang
- Department of Clinical Laboratory, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People’s Republic of China
- Department of Clinical Laboratory, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People’s Republic of China
| | - Kai Yang
- Department of Medical Technology, Anhui Medical College, Hefei, Anhui, 230601, People’s Republic of China
| | - Qin Wang
- Department of Clinical Laboratory, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People’s Republic of China
| | - Lei Jin
- Department of Infectious Diseases, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People’s Republic of China
| | - Ling-Mei Wang
- Department of Clinical Laboratory, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People’s Republic of China
| | - Xing-Yu Fan
- Department of Clinical Laboratory, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People’s Republic of China
| | - Xiu Wang
- Department of Clinical Laboratory, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People’s Republic of China
| | - Qiang Zhou
- Department of Clinical Laboratory, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People’s Republic of China
- Qiang Zhou, Department of Clinical Laboratory, the Second Hospital of Anhui Medical University, No. 678, Furong Road, Hefei, 230601, Anhui, People’s Republic of China, Email
| | - Yuan-Hong Xu
- Department of Clinical Laboratory, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People’s Republic of China
- Correspondence: Yuan-Hong Xu, Department of Clinical Laboratory, the First Hospital of Anhui Medical University, No. 218, Jixi Road, Hefei, Anhui, 230022, People’s Republic of China, Email
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