Cristiana Laici, Davide Ricci, Dino Gibertoni, Elena Mancini, Annalisa Zucchelli, Antonio Siniscalchi
Background: Acute kidney injury frequently complicates the end stages of liver diseases, worsening the condition of patients waiting for liver transplants. Continuous renal replacement therapy during liver transplant is still a limited experience, with large variability in the indication criteria. The recent KDIGO guidelines on acute kidney injury may help identify patients who could potentially benefit from the procedure. Therefore, close collaboration between intensivists and nephrologists is essential for shared criteria and treatment management. This study aimed to assess the feasibility and safety in clinical practice of a joint intraoperative continuous renal replacement therapy (IO-CRRT) program. Some aspects of clinical impact were analyzed as a secondary outcome.
Methods: A collaborative organization between nephrologists and anesthesiologists was implemented at St. Orsola Hospital of Bologna (Italy) to manage liver transplant candidates with acute kidney injury. Feasibility, the main outcome, was assessed through adherence to clinical indications and operative details. We also compared a group receiving IO-CRRT (n = 20) and a historical control group (n = 13) without replacement therapy.
Results: No substantial operative deviations from the program were found, excluding 4 patients mistakenly enrolled. The IO-CRRT group had better control of lactates, serum bicarbonate gain, and smoother acute sodium changes compared to controls.
Conclusion: The overall organization proved to be feasible and safe, provided a high level of collaboration is guaranteed. The trend of some metabolic parameters appeared to benefit from IO-CRRT, which may reasonably help in balancing metabolism during liver transplant surgery. This strategy could increase the opportunity for transplant for some patients who otherwise would be excluded.
{"title":"Continuous Renal Replacement Therapy During Liver Transplant: The Anesthesiologist-Nephrologist Collaboration at a Tertiary University Hospital in Italy","authors":"Cristiana Laici, Davide Ricci, Dino Gibertoni, Elena Mancini, Annalisa Zucchelli, Antonio Siniscalchi","doi":"10.1111/ctr.70462","DOIUrl":"10.1111/ctr.70462","url":null,"abstract":"<p><b>Background</b>: Acute kidney injury frequently complicates the end stages of liver diseases, worsening the condition of patients waiting for liver transplants. Continuous renal replacement therapy during liver transplant is still a limited experience, with large variability in the indication criteria. The recent KDIGO guidelines on acute kidney injury may help identify patients who could potentially benefit from the procedure. Therefore, close collaboration between intensivists and nephrologists is essential for shared criteria and treatment management. This study aimed to assess the feasibility and safety in clinical practice of a joint intraoperative continuous renal replacement therapy (IO-CRRT) program. Some aspects of clinical impact were analyzed as a secondary outcome.</p><p><b>Methods</b>: A collaborative organization between nephrologists and anesthesiologists was implemented at St. Orsola Hospital of Bologna (Italy) to manage liver transplant candidates with acute kidney injury. Feasibility, the main outcome, was assessed through adherence to clinical indications and operative details. We also compared a group receiving IO-CRRT (<i>n</i> = 20) and a historical control group (<i>n</i> = 13) without replacement therapy.</p><p><b>Results</b>: No substantial operative deviations from the program were found, excluding 4 patients mistakenly enrolled. The IO-CRRT group had better control of lactates, serum bicarbonate gain, and smoother acute sodium changes compared to controls.</p><p><b>Conclusion</b>: The overall organization proved to be feasible and safe, provided a high level of collaboration is guaranteed. The trend of some metabolic parameters appeared to benefit from IO-CRRT, which may reasonably help in balancing metabolism during liver transplant surgery. This strategy could increase the opportunity for transplant for some patients who otherwise would be excluded.</p>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"40 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12857593/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146084644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ana Lanier, Umar Siddiqi, Usmaan Siddiqi, Linda Lee, Seyed Ehsan Saffari, Mark Belkin, Jonathan Grinstein, Anthony Kanelidis, Leo Gozdecki, Stanley Swat, Sara Kalantari, Nitasha Sarswat, Bow Ben Chung, Gene Kim, Chris Salerno, Valluvan Jeevanandam, Manreet Kanwar, Ann Nguyen
Current guidelines for heart transplant (HT) listing support body mass index (BMI) < 35 kg/m2, though data supporting this recommendation is mixed. It is unclear if other more specific measurements of body composition are better predictors of outcomes post-HT. This retrospective study included patients who underwent HT between 2014 and 2019 and underwent an abdominal CT scan within 3 months of HT. Tissue characterization was performed using Slice-O-Matic software to derive measurements including BMI, fat mass index (FMI), visceral adipose tissue to subcutaneous adipose tissue ratio (VAT/SAT), fat free mass index (FFMI), and skeletal muscle index (SMI). Univariate and multivariate logistic regression analyses were used to investigate association of body composition variables by tertiles to 1 year mortality, readmission, primary graft dysfunction, length of stay, infection, and renal failure. Of the 104 patients, 80% were male and 56% were Caucasian. Highest and lowest BMI tertiles were significantly associated with an increased risk of hospital readmission within 1 year post HT (OR 3.4, [95%CI 1.1–11.4]; OR 5.9, [95% CI 1.7–25.1]; p = 0.01) as well as an increased risk of infections requiring hospitalization (OR 3.2, [95% CI 1.2–9.0]; OR 3.9, [95%CI 1.4–11.7]; p = 0.02). FMI, VAT/SAT, FFMI, and SMI were not associated with outcomes 1-year post-HT. Highest and lowest BMI tertiles were associated with increased rates of hospital readmission and infection in the first-year post HT, while other measurements of body composition were not associated with any poor outcomes post-HT. Although BMI does not predict mortality post-HT, it can differentiate risk better than all other metrics.
目前的心脏移植指南(HT)支持身体质量指数(BMI) 2,尽管支持这一建议的数据参差不齐。目前尚不清楚其他更具体的身体成分测量是否能更好地预测治疗后的结果。这项回顾性研究包括2014年至2019年期间接受HT治疗并在HT治疗后3个月内接受腹部CT扫描的患者。使用Slice-O-Matic软件进行组织表征,得出包括BMI、脂肪质量指数(FMI)、内脏脂肪组织与皮下脂肪组织比率(VAT/SAT)、无脂肪质量指数(FFMI)和骨骼肌指数(SMI)在内的测量结果。采用单因素和多因素logistic回归分析,按位数调查身体组成变量与1年死亡率、再入院、原发性移植物功能障碍、住院时间、感染和肾功能衰竭的关系。104例患者中,80%为男性,56%为白种人。最高和最低BMI分位数与HT后1年内再入院风险增加(OR 3.4, [95%CI 1.1-11.4]; OR 5.9, [95%CI 1.7-25.1]; p = 0.01)以及需要住院治疗的感染风险增加(OR 3.2, [95%CI 1.2-9.0]; OR 3.9, [95%CI 1.4-11.7]; p = 0.02)显著相关。FMI、VAT/SAT、FFMI和SMI与ht后1年的预后无关。BMI指数最高和最低与高温疗法后第一年再入院率和感染率的增加有关,而身体成分的其他测量值与高温疗法后的任何不良结果无关。虽然BMI不能预测术后死亡率,但它能比其他指标更好地区分风险。
{"title":"Alternative Measures of Body Composition and Outcomes Following Heart Transplant","authors":"Ana Lanier, Umar Siddiqi, Usmaan Siddiqi, Linda Lee, Seyed Ehsan Saffari, Mark Belkin, Jonathan Grinstein, Anthony Kanelidis, Leo Gozdecki, Stanley Swat, Sara Kalantari, Nitasha Sarswat, Bow Ben Chung, Gene Kim, Chris Salerno, Valluvan Jeevanandam, Manreet Kanwar, Ann Nguyen","doi":"10.1111/ctr.70448","DOIUrl":"10.1111/ctr.70448","url":null,"abstract":"<p>Current guidelines for heart transplant (HT) listing support body mass index (BMI) < 35 kg/m<sup>2</sup>, though data supporting this recommendation is mixed. It is unclear if other more specific measurements of body composition are better predictors of outcomes post-HT. This retrospective study included patients who underwent HT between 2014 and 2019 and underwent an abdominal CT scan within 3 months of HT. Tissue characterization was performed using Slice-O-Matic software to derive measurements including BMI, fat mass index (FMI), visceral adipose tissue to subcutaneous adipose tissue ratio (VAT/SAT), fat free mass index (FFMI), and skeletal muscle index (SMI). Univariate and multivariate logistic regression analyses were used to investigate association of body composition variables by tertiles to 1 year mortality, readmission, primary graft dysfunction, length of stay, infection, and renal failure. Of the 104 patients, 80% were male and 56% were Caucasian. Highest and lowest BMI tertiles were significantly associated with an increased risk of hospital readmission within 1 year post HT (OR 3.4, [95%CI 1.1–11.4]; OR 5.9, [95% CI 1.7–25.1]; <i>p</i> = 0.01) as well as an increased risk of infections requiring hospitalization (OR 3.2, [95% CI 1.2–9.0]; OR 3.9, [95%CI 1.4–11.7]; <i>p</i> = 0.02). FMI, VAT/SAT, FFMI, and SMI were not associated with outcomes 1-year post-HT. Highest and lowest BMI tertiles were associated with increased rates of hospital readmission and infection in the first-year post HT, while other measurements of body composition were not associated with any poor outcomes post-HT. Although BMI does not predict mortality post-HT, it can differentiate risk better than all other metrics.</p>","PeriodicalId":10467,"journal":{"name":"Clinical Transplantation","volume":"40 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12857596/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146084680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel M. Chen, Ambalavanan Arunachalam, Graham Peigh, Bradley P. Knight, Chitaru Kurihara, Mrinalini Venkata Subramani, Catherine Myers, Alan Betensley, Krishnan Warrior, Bradford C. Bemiss, Amanda Kamar, Mohamed Al-Kazaz