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Chung YE. Deep learning assisted biomarker development in patients with chronic hepatitis B: Editorial on "Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infection". Clin Mol Hepatol 2024; 30:669-672. [PMID: 39038960 PMCID: PMC11540355 DOI: 10.3350/cmh.2024.0563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Accepted: 07/20/2024] [Indexed: 07/24/2024] Open
Affiliation(s)
- Yong Eun Chung
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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Pashayee-Khamene F, Hatami B, Cheraghpour M, Yari Z. Keeping an eye on the nutrition: The importance of nutrition management on cardiometabolic risk factors in cirrhotic patients. Clin Nutr ESPEN 2023; 58:186-192. [PMID: 38057004 DOI: 10.1016/j.clnesp.2023.09.927] [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: 05/24/2023] [Revised: 08/26/2023] [Accepted: 09/26/2023] [Indexed: 11/07/2023]
Abstract
Chronic liver diseases, especially cirrhosis, are associated with significant morbidity and mortality. Besides predisposing to chronic liver disease per se, diabetes, hypertension, and dyslipidemia worsen the prognosis of patients with cirrhosis induced by other causes. There is no standard of care in the management of these factors in patients with cirrhosis. Also, in particular, it is not known whether nutritional interventions in the modification of cardiometabolic factors can improve the course of cirrhosis or not. This narrative review aimed to investigate the clinical significance of diabetes, hypertension, and dyslipidemia and appropriate nutritional interventions in cirrhotic patients. A comprehensive literature search of the published data was performed in regard to the association of cirrhosis with cardiometabolic factors and the management of cirrhosis and its complications. There is limited evidence on the association of cirrhosis with cardiometabolic risk factors. Cirrhotic cardiometabolic abnormalities are associated with an increased risk of complications, such that the coexistence of diabetes, hypertension, and dyslipidemia increases the risk of clinical decompensation in cirrhosis. Dietary management of cirrhotic patients with risk factors such as diabetes, hypertension, or dyslipidemia does not seem to be considerably different from non-cirrhotic patients.
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Affiliation(s)
- Fereshteh Pashayee-Khamene
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Behzad Hatami
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Makan Cheraghpour
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Zahra Yari
- Department of Nutrition Research, National Nutrition and Food Technology Research Institute and Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Kocas-Kilicarslan ZN, Cetin Z, Faccioli LAP, Motomura T, Amirneni S, Diaz-Aragon R, Florentino RM, Sun Y, Pla-Palacin I, Xia M, Miedel MT, Kurihara T, Hu Z, Ostrowska A, Wang Z, Constantine R, Li A, Taylor DL, Behari J, Soto-Gutierrez A, Tafaleng EN. Polymorphisms Associated With Metabolic Dysfunction-Associated Steatotic Liver Disease Influence the Progression of End-Stage Liver Disease. GASTRO HEP ADVANCES 2023; 3:67-77. [PMID: 38292457 PMCID: PMC10827334 DOI: 10.1016/j.gastha.2023.09.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
BACKGROUND AND AIMS Chronic liver injury that results in cirrhosis and end-stage liver disease (ESLD) causes more than 1 million deaths annually worldwide. Although the impact of genetic factors on the severity of metabolic dysfunction-associated steatotic liver disease (MASLD) and alcohol-related liver disease (ALD) has been previously studied, their contribution to the development of ESLD remains largely unexplored. METHODS We genotyped 6 MASLD-associated polymorphisms in healthy (n = 123), metabolic dysfunction-associated steatohepatitis (MASH) (n = 145), MASLD-associated ESLD (n = 72), and ALD-associated ESLD (n = 57) cohorts and performed multinomial logistic regression to determine the combined contribution of genetic, demographic, and clinical factors to the progression of ESLD. RESULTS Distinct sets of factors are associated with the progression to ESLD. The PNPLA3 rs738409:G and TM6SF2 rs58542926:T alleles, body mass index (BMI), age, and female sex were positively associated with progression from a healthy state to MASH. The PNPLA3 rs738409:G allele, age, male sex, and having type 2 diabetes mellitus were positively associated, while BMI was negatively associated with progression from MASH to MASLD-associated ESLD. The PNPLA3 rs738409:G and GCKR rs780094:T alleles, age, and male sex were positively associated, while BMI was negatively associated with progression from a healthy state to ALD-associated ESLD. The findings indicate that the PNPLA3 rs738409:G allele increases susceptibility to ESLD regardless of etiology, the TM6SF2 rs58542926:T allele increases susceptibility to MASH, and the GCKR rs780094:T allele increases susceptibility to ALD-associated ESLD. CONCLUSION The PNPLA3, TM6SF2, and GCKR minor alleles influence the progression of MASLD-associated or ALD-associated ESLD. Genotyping for these variants in MASLD and ALD patients can enhance risk assessment, prompting early interventions to prevent ESLD.
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Affiliation(s)
- Zehra N. Kocas-Kilicarslan
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Zeliha Cetin
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Lanuza A. P. Faccioli
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Takashi Motomura
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Sriram Amirneni
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Ricardo Diaz-Aragon
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Rodrigo M. Florentino
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Yiyue Sun
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- School of Medicine, Tsinghua University, Beijing, China
| | - Iris Pla-Palacin
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mengying Xia
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mark T. Miedel
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Takeshi Kurihara
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Zhiping Hu
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alina Ostrowska
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Zi Wang
- Department of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Albert Li
- Discovery Life Sciences, Huntsville, Alabama
| | - D. Lansing Taylor
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jaideep Behari
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Alejandro Soto-Gutierrez
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
- McGowan Institute for Regenerative Medicine, Pittsburgh, Pennsylvania
| | - Edgar N. Tafaleng
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Yoo J, Cho H, Lee DH, Cho EJ, Joo I, Jeon SK. Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infection. Clin Mol Hepatol 2023; 29:1029-1042. [PMID: 37822214 PMCID: PMC10577347 DOI: 10.3350/cmh.2023.0190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/08/2023] [Accepted: 08/27/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND/AIMS The prediction of clinical outcomes in patients with chronic hepatitis B (CHB) is paramount for effective management. This study aimed to evaluate the prognostic value of computed tomography (CT) analysis using deep learning algorithms in patients with CHB. METHODS This retrospective study included 2,169 patients with CHB without hepatic decompensation who underwent contrast-enhanced abdominal CT for hepatocellular carcinoma (HCC) surveillance between January 2005 and June 2016. Liver and spleen volumes and body composition measurements including subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and skeletal muscle indices were acquired from CT images using deep learning-based fully automated organ segmentation algorithms. We assessed the significant predictors of HCC, hepatic decompensation, diabetes mellitus (DM), and overall survival (OS) using Cox proportional hazard analyses. RESULTS During a median follow-up period of 103.0 months, HCC (n=134, 6.2%), hepatic decompensation (n=103, 4.7%), DM (n=432, 19.9%), and death (n=120, 5.5%) occurred. According to the multivariate analysis, standardized spleen volume significantly predicted HCC development (hazard ratio [HR]=1.01, P=0.025), along with age, sex, albumin and platelet count. Standardized spleen volume (HR=1.01, P<0.001) and VAT index (HR=0.98, P=0.004) were significantly associated with hepatic decompensation along with age and albumin. Furthermore, VAT index (HR=1.01, P=0.001) and standardized spleen volume (HR=1.01, P=0.001) were significant predictors for DM, along with sex, age, and albumin. SAT index (HR=0.99, P=0.004) was significantly associated with OS, along with age, albumin, and MELD. CONCLUSION Deep learning-based automatically measured spleen volume, VAT, and SAT indices may provide various prognostic information in patients with CHB.
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Affiliation(s)
- Jeongin Yoo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Heejin Cho
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Eun Ju Cho
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea
| | - Sun Kyung Jeon
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
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Kumar R, Kumar S, Prakash SS. Compensated liver cirrhosis: Natural course and disease-modifying strategies. World J Methodol 2023; 13:179-193. [PMID: 37771878 PMCID: PMC10523240 DOI: 10.5662/wjm.v13.i4.179] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 06/05/2023] [Accepted: 06/27/2023] [Indexed: 09/20/2023] Open
Abstract
Compensated liver cirrhosis (CLC) is defined as cirrhosis with one or more decompensating events, such as ascites, variceal haemorrhage, or hepatic encephalopathy. Patients with CLC are largely asymptomatic with preserved hepatic function. The transition from CLC to decompensated cirrhosis occurs as a result of a complex interaction between multiple predisposing and precipitating factors. The first decompensation event in CLC patients is considered a significant turning point in the progression of cirrhosis, as it signals a drastic decline in median survival rates from 10-12 years to only 1-2 years. Furthermore, early cirrhosis has the potential to regress as liver fibrosis is a dynamic condition. With the advent of effective non-invasive tools for detecting hepatic fibrosis, more and more patients with CLC are currently being recognised. This offers clinicians a unique opportunity to properly manage such patients in order to achieve cirrhosis regression or, at the very least, prevent its progression. There are numerous emerging approaches for preventing or delaying decompensation in CLC patients. A growing body of evidence indicates that treating the underlying cause can lead to cirrhosis regression, and the use of non-selective beta-blockers can prevent decompensation by lowering portal hypertension. Additionally, addressing various cofactors (such as obesity, diabetes, dyslipidaemia, and alcoholism) and precipitating factors (such as infection, viral hepatitis, and hepatotoxic drugs) that have a detrimental impact on the natural course of cirrhosis may benefit patients with CLC. However, high-quality data must be generated through well-designed and adequately powered randomised clinical trials to validate these disease-modifying techniques for CLC patients. This article discussed the natural history of CLC, risk factors for its progression, and therapeutic approaches that could alter the trajectory of CLC evolution and improve outcomes.
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Affiliation(s)
- Ramesh Kumar
- Department of Gastroenterology, All India Institute of Medical Sciences, Patna 801507, India
| | - Sudhir Kumar
- Department of Gastroenterology, All India Institute of Medical Sciences, Patna 801507, India
| | - Sabbu Surya Prakash
- Department of Gastroenterology, All India Institute of Medical Sciences, Patna 801507, India
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Wang X, Wei S, Wei Y, Wang X, Xiao F, Feng Y, Zhu Q. The impact of concomitant metabolic dysfunction-associated fatty liver disease on adverse outcomes in patients with hepatitis B cirrhosis: a propensity score matching study. Eur J Gastroenterol Hepatol 2023; 35:889-898. [PMID: 37395242 DOI: 10.1097/meg.0000000000002583] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
BACKGROUND AND AIMS In cirrhotic patients, the clinical relevance of metabolic dysfunction-associated fatty liver disease (MAFLD) is unclear. We aimed to research the relationship between MAFLD and adverse clinical outcomes in patients with hepatitis B cirrhosis. METHODS A total of 439 patients with hepatitis B cirrhosis were enrolled. Abdominal MRI and computed tomography were used to calculate liver fat content in order to evaluate steatosis. The Kaplan-Meier method was implemented to generate survival curves. The independent risk factors for prognosis were identified by multiple Cox regression. Propensity score matching (PSM) was used to reduce the influence of confounding factors. This study explored the relevance between MAFLD and mortality, first decompensation and further decompensation. RESULTS In our study, most patients were decompensated cirrhosis (n = 332, 75.6%) and the ratio of decompensated cirrhosis patients in non-MAFLD to MAFLD group was 199 : 133. Compared to the non-MAFLD group, patients with MAFLD had worse liver function which mainly reflected that there were more Child-Pugh C patients and higher model for end-stage liver disease score in the MAFLD group. A total of 207 adverse clinical events occurred in the total cohort during a median follow-up of 47 months, including 45 deaths, 28 hepatocellular carcinoma, 23 first decompensation and 111 further decompensation. Cox multivariate analysis showed that MAFLD was an independent risk factor for death [hazard ratio (HR) 1.931; 95% confidence interval (CI) 1.019-3.660; P = 0.044 HR 2.645; 95% CI, 1.145-6.115; P = 0.023] and further decompensation (HR 1.859; 95% CI, 1.261-2.741; P = 0.002 HR 1.953; 95% CI, 1.195-3.192; P = 0.008) before and after PSM. In decompensated group with MAFLD, diabetes had a more significant effect on adverse prognosis than overweight or obesity and other metabolic risk factors. CONCLUSION In patients with hepatitis B cirrhosis, concomitant MAFLD can predict a higher risk of further decompensation and death among decompensated individuals. According to patients among MAFLD, diabetes may be a major factor in the occurrence of adverse clinical events.
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Affiliation(s)
- Xinyu Wang
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University
| | - Shuhang Wei
- Department of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan
| | - Yingnan Wei
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University
| | - Xueqi Wang
- Department of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan
| | - Feng Xiao
- Department of Gastroenterology, The Second Affiliated Hospital of Shandong First Medical University, Taian
| | - Yuemin Feng
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University
| | - Qiang Zhu
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University
- Department of Gastroenterology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
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Goncalves BDS, Meadows A, Pereira DG, Puri R, Pillai SS. Insight into the Inter-Organ Crosstalk and Prognostic Role of Liver-Derived MicroRNAs in Metabolic Disease Progression. Biomedicines 2023; 11:1597. [PMID: 37371692 PMCID: PMC10295788 DOI: 10.3390/biomedicines11061597] [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: 04/07/2023] [Revised: 05/19/2023] [Accepted: 05/27/2023] [Indexed: 06/29/2023] Open
Abstract
Dysfunctional hepatic metabolism has been linked to numerous diseases, including non-alcoholic fatty liver disease, the most common chronic liver disorder worldwide, which can progress to hepatic fibrosis, and is closely associated with insulin resistance and cardiovascular diseases. In addition, the liver secretes a wide array of metabolites, biomolecules, and microRNAs (miRNAs) and many of these secreted factors exert significant effects on metabolic processes both in the liver and in peripheral tissues. In this review, we summarize the involvement of liver-derived miRNAs in biological processes with an emphasis on delineating the communication between the liver and other tissues associated with metabolic disease progression. Furthermore, the review identifies the primary molecular targets by which miRNAs act. These consolidated findings from numerous studies provide insight into the underlying mechanism of various metabolic disease progression and suggest the possibility of using circulatory miRNAs as prognostic predictors and therapeutic targets for improving clinical intervention strategies.
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Affiliation(s)
- Bruno de Souza Goncalves
- Department of Surgery and Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25701, USA
| | - Avery Meadows
- Department of Surgery and Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25701, USA
| | - Duane G Pereira
- Department of Surgery and Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25701, USA
| | - Raghav Puri
- Department of Surgery and Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25701, USA
| | - Sneha S Pillai
- Department of Surgery and Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25701, USA
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Rodrigues DM, Kundra A, Hookey L, Montague S. Does Point-of-Care Ultrasound Change the Needle Insertion Location During Routine Bedside Paracentesis? J Gen Intern Med 2022; 37:1598-1602. [PMID: 34346007 PMCID: PMC9130424 DOI: 10.1007/s11606-021-07042-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 07/14/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Paracentesis is a bedside procedure to obtain ascitic fluid from the peritoneum. Point-of-care ultrasound (POCUS) improves the safety of some medical procedures. However, the evidence supporting its utility in paracentesis is limited. OBJECTIVE We aimed to assess if POCUS would yield a user-preferred site for needle insertion compared to conventional landmarking, defined as a ≥ 5 cm change in location. DESIGN This was a prospective non-randomized trial comparing a POCUS-guided site to the conventional anatomic site in the same patient. PARTICIPANTS Adult patients at Kingston Health Sciences Centre undergoing paracentesis were included. INTERVENTIONS Physicians landmarked using conventional technique and compared this to a POCUS-guided site. The paracentesis was performed at whatever site was deemed optimal, if safe to do so. MAIN MEASURES Data collected included the distance from the two sites, depth of fluid pockets, and anatomic considerations. KEY RESULTS Forty-five procedures were performed among 30 patients and by 24 physicians, who were primarily in their PGY 1 and 2 years of training (33% and 31% respectively). Patients' ascites was mostly due to cirrhosis (84%) predominantly due to alcohol (47%) and NAFLD (34%). Users preferred the POCUS-guided site which resulted in a change in needle insertion ≥ 5 cm from the conventional anatomic site in 69% of cases. The average depth of fluid was greater at the POCUS site vs. the anatomic site (5.4±2.8 cm vs. 3.0±2.5 cm, p < 0.005). POCUS deflected the needle insertion site superiorly and laterally to the anatomic site. The POCUS site was chosen (1) to avoid adjacent organs, (2) to optimize the fluid pocket, and (3) due to abdominal wall considerations, such as pannus. Six cases landmarked anatomically were aborted when POCUS revealed inadequate ascites. CONCLUSIONS POCUS changes the needle insertion site from the conventional anatomic site for most procedures, due to optimizing the fluid pocket and safety concerns, and helped avoid cases where an unsafe volume of ascites was present.
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Affiliation(s)
| | - Arjun Kundra
- Department of Medicine, Queen's University, Kingston, ON, Canada
| | - Lawrence Hookey
- Department of Medicine, Queen's University, Kingston, ON, Canada
| | - Steven Montague
- Department of Medicine, Queen's University, Kingston, ON, Canada.
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