==== Front JAMA Netw Open JAMA Netw Open JAMA Network Open 2574-3805 American Medical Association 37378979 10.1001/jamanetworkopen.2023.20802 zoi230617 Research Original Investigation Online Only Gastroenterology and Hepatology Early Plasmapheresis Among Patients With Hypertriglyceridemia–Associated Acute Pancreatitis Early Plasmapheresis Among Patients With Hypertriglyceridemia–Associated Acute Pancreatitis Early Plasmapheresis Among Patients With Hypertriglyceridemia–Associated Acute Pancreatitis Cao Longxiang PhD 1 2 Chen Yingjie PhD 3 4 Liu Siyao MSc 5 Huang Wei PhD 6 Wu Dong PhD 7 Hong Donghuang PhD 8 Wang Zuozheng PhD 9 Sun Yi BSc 10 Qin Kaixiu MSc 11 Guo Feng PhD 12 Luo Cuizhu PhD 13 Jiao Qinghai MSc 14 Luo Xiang MSc 15 Zhou Jing PhD 16 Li Gang PhD 1 Ye Bo PhD 1 Chen Tao PhD 17 Liu Man MSc 2 Mao Wenjian PhD 16 Wang Lanting MSc 1 Li Shuai MSc 1 Windsor John A. PhD 18 Liu Yuxiu MSc 1 2 19 Ke Lu PhD 1 2 Tong Zhihui MD PhD 1 16 Li Weiqin PhD 1 2 for the Chinese Acute Pancreatitis Clinical Trials Group (CAPCTG) 1 Department of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, Nanjing, China 2 National Institute of Healthcare Data Science, Nanjing University, Nanjing, China 3 Department of Critical Care Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China 4 Department of Critical Care Medicine, Jinjiang Hospital of Traditional Chinese Medicine, Quanzhou, China 5 Department of Emergency Medicine, The First Affiliated Hospital of Xiamen University, Xiamen, China 6 West China Center of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China-Liverpool Biomedical Research Center, West China Hospital, Sichuan University, Chengdu, China 7 Department of Gastroenterology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China 8 Department of Critical Care Medicine, Fujian Provincial Hospital, Fuzhou, China 9 Department of Hepatobiliary Surgery, General Hospital of Ningxia Medical University, Yinchuan, China 10 The Fourth Department of the Digestive Disease Center, Suining Central Hospital, Suining, China 11 Department of Emergency Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China 12 Department of Intensive Care Unit, Sir Run Run Shaw Hospital of Zhejiang University School of Medicine, Hangzhou, China 13 Department of Critical Care Medicine, Pingxiang People's Hospital, Pingxiang, China 14 Department of Critical Care Medicine, The First Hospital of Handan, Handan, China 15 Department of Critical Care Medicine, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China 16 Department of Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China 17 Department of Public Health, Policy and Systems, Institute of Population Health, The University of Liverpool, Liverpool, United Kingdom 18 Surgical and Translational Research Center, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand 19 Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China Article Information Accepted for Publication: May 11, 2023. Published: June 28, 2023. doi:10.1001/jamanetworkopen.2023.20802 Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2023 Cao L et al. JAMA Network Open. Corresponding Authors: Lu Ke, PhD (ctgkelu@nju.edu.cn), and Zhihui Tong, MD, PhD (njzyantol@aliyun.com), Department of Critical Care Medicine, Jinling Hospital, No. 305 Zhongshan East Road, Nanjing 210000, Jiangsu Province, China. Author Contributions: Dr Ke had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Drs Cao, Y. Chen, and S. Liu contributed equally to this work. Concept and design: T. Chen, Windsor, Y. Liu, Ke, Tong, W. Li. Acquisition, analysis, or interpretation of data: Cao, Y. Chen, S. Liu, Huang, Wu, Hong, Z. Wang, Sun, Qin, Guo, C. Luo, Jiao, X. Luo, Zhou, G. Li, Ye, T. Chen, M. Liu, Mao, L. Wang, S. Li, Y. Liu, Ke. Drafting of the manuscript: Cao, Y. Liu, Ke. Critical revision of the manuscript for important intellectual content: Y. Chen, S. Liu, Huang, Wu, Hong, Z. Wang, Sun, Qin, Guo, C. Luo, Jiao, X. Luo, Zhou, G. Li, Ye, T. Chen, M. Liu, Mao, L. Wang, S. Li, Windsor, Y. Liu, Ke, Tong, W. Li. Statistical analysis: Cao, T. Chen, M. Liu, Y. Liu. Administrative, technical, or material support: Y. Chen, S. Liu, Wu, Hong, Z. Wang, Sun, Qin, Guo, C. Luo, Jiao, X. Luo, Zhou, G. Li, Ye, Mao, L. Wang, S. Li, Ke, Tong, W. Li. Supervision: Windsor, Y. Liu, Ke, Tong, W. Li. Conflict of Interest Disclosures: Dr Ke reported receiving grants from Nutricia Pharmaceutical (Wuxi) Co, Ltd, personal fees from SciClone Pharmaceuticals, and personal fees from Jiangsu Nhwa Pharmaceutical Co, Ltd outside the submitted work. Dr Tong reported receiving personal fees from SciClone Pharmaceuticals outside the submitted work. Dr W. Li reported receiving grants from Nutricia Pharmaceutical (Wuxi) Co, Ltd; and consultancy fees from Jiangsu Nhwa Pharmaceutical Co, Ltd outside the submitted work. No other disclosures were reported. Funding/Support: The study was funded partly by Key Research and Development Program Foundation of Jiangsu Province of China (No. BE2016749). This study was funded partly by the National Science Foundation of China (No. 81900592). Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. Group Information: A full list of members of the Chinese Acute Pancreatitis Clinical Trials Group (CAPCTG) is available in Supplement 2. Meeting Presentation: Preliminary results of this study were presented as an abstract at the Digestive Disease Week 2023; May 8th, 2023; Chicago, Illinois. Data Sharing Statement: See Supplement 3. Additional Contributions: We would like to acknowledge all the patients and health staff who participated in this study. 28 6 2023 6 2023 28 6 2023 6 6 e23208029 3 2023 11 5 2023 Copyright 2023 Cao L et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License. jamanetwopen-e2320802.pdf This cohort study evaluates the association between plasmapheresis and the incidence and duration of organ failure among patients with hypertriglyceridemia–associated acute pancreatitis. Key Points Question Plasmapheresis is theoretically effective in removing triglyceride from plasma, but is it associated with clinical outcomes in patients with hypertriglyceridemia-associated acute pancreatitis (HTG-AP)? Findings In this multicenter cohort study involving 267 patients with HTG-AP, plasmapheresis was not associated with the incidence and duration of organ failure, but with a greater need for intensive care unit admission. Meaning These findings suggest plasmapheresis may not be used in the management of HTG-AP because of the cost and potential complications and because it may not confer any clinical benefit. Importance The incidence of hypertriglyceridemia–associated acute pancreatitis (HTG-AP) is increasing. Plasmapheresis is theoretically effective in removing triglyceride from plasma, but whether it confers clinical benefits is unclear. Objective To assess the association between plasmapheresis and the incidence and duration of organ failure among patients with HTG-AP. Design, Setting, and Participants This is an a priori analysis of data from a multicenter, prospective cohort study with patients enrolled from 28 sites across China. Patients with HTG-AP were admitted within 72 hours from the disease onset. The first patient was enrolled on November 7th, 2020, and the last on November 30th, 2021. The follow-up of the 300th patient was completed on January 30th, 2022. Data were analyzed from April to May 2022. Exposures Receiving plasmapheresis. The choice of triglyceride-lowering therapies was at the discretion of the treating physicians. Main Outcomes and Measures The primary outcome was organ failure–free days to 14 days of enrollment. Secondary outcomes included other measures for organ failure, intensive care unit (ICU) admission, duration of ICU and hospital stays, incidence of infected pancreatic necrosis, and 60-day mortality. Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) analyses were used to control potential confounders. Results Overall, 267 patients with HTG-AP were enrolled (185 [69.3%] were male; median [IQR] age, 37 [31-43] years), among whom 211 underwent conventional medical treatment and 56 underwent plasmapheresis. PSM created 47 pairs of patients with balanced baseline characteristics. In the matched cohort, no difference was detected concerning organ failure–free days between patients undergoing plasmapheresis or not (median [IQR], 12.0 [8.0-14.0] vs 13.0 [8.0-14.0]; P = .94). Moreover, more patients in the plasmapheresis group required ICU admission (44 [93.6%] vs 24 [51.1%]; P < .001). The IPTW results conformed to the results from the PSM analysis. Conclusions and Relevance In this large multicenter cohort study of patients with HTG-AP, plasmapheresis was commonly used to lower plasma triglyceride. However, after adjusting for confounders, plasmapheresis was not associated with the incidence and duration of organ failure, but with increased ICU requirements. ==== Body pmcIntroduction Acute pancreatitis (AP) is a common gastrointestinal disease with multiple causes, including gallstones, alcohol, and hypertriglyceridemia (HTG).1 In recent years, HTG has become the third most common cause globally, accounting for 4% to 10% of all AP cases.2 In China, elevated HTG has become the second leading cause of AP in recent years.3 Although the pathophysiology of HTG–associated AP (HTG-AP) is not fully understood, it has been shown that increased plasma triglyceride levels may be associated with worse clinical outcomes.4 On that basis, there have been a number of treatment strategies introduced to reduce plasma triglyceride levels, including noninvasive measures such as fasting, insulin, and heparin and invasive blood purification techniques.2 Plasmapheresis, which replaces plasma with other fluids such as fresh plasma or albumin, has been widely studied, but the evidence is contradictory.5,6,7 Not only would plasma triglyceride be removed by plasmapheresis, but there is the expectation that chylomicrons and inflammatory cytokines would also be efficiently removed.8 Most of the studies investigating the impact of plasmapheresis on the outcome from HTG-AP were small, retrospective, and often included mild cases.6,9,10,11,12,13,14,15,16,17 The only randomized controlled trial showed no effect of plasmapheresis on plasma triglyceride levels and clinical outcomes.18 Despite this evidence base, the American Society for Apheresis guidelines recommended plasmapheresis for severe HTG-AP and to prevent relapse,8 although they acknowledged that the evidence was either low or very low quality. International guidelines for the management of AP did not give any recommendations regarding specific triglyceride-lowering therapy due to the lack of solid evidence.19,20,21,22 In this study, we aimed to assess the association between plasmapheresis and the incidence and duration of organ failure in patients with HTG-AP using data from a multicenter, prospective observational study. Methods Study Design This study was an a priori analysis of data collected for the PERFORM study, which was registered in the Chinese Clinical Trials Registry. The PERFORM study23 was a multicenter, prospective cohort study collecting clinical characteristics, treatments, and outcomes of patients with HTG-AP. It was designed and conducted by the Chinese Acute Pancreatitis Clinical Trials Group (CAPCTG) and approved by the hospital ethics committees of all the participating hospitals. Written informed consent was obtained from each participant or their next of kin. The full protocol of the PERFORM study and the analysis plan of this study were published previously.23 This report follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for observational studies.24 Patient Characteristics All patients admitted with acute pancreatitis to the participating hospitals were considered for eligibility for the PERFORM study. The inclusion criteria were adult patients (18-70 years), admitted within 72 hours from the onset of pain, triglyceride level greater than 11.3 mmol/L when enrolled (to convert to millimoles per liter, multiply by 0.0113), and the presence of at least 1 of the worrisome features, which were defined and described in detail by Gelrud et al25 on UpToDate. The list of worrisome features can be found in the published protocol.23 The exclusion criteria included failure to obtain informed consent, pregnant or lactating women, and patients who were expected to die within 48 hours after enrollment. In this analysis, we additionally excluded patients who underwent any type of blood purification other than plasmapheresis for triglyceride-lowering therapy. Patient Treatment and Triglyceride-Lowering Therapies All the patients received standardized treatment according to guidelines, including intravenous fluid, early enteral nutrition, and delayed intervention for local complications.19 For triglyceride-lowering therapy, patients who underwent at least 1 plasmapheresis session were assigned to the plasmapheresis group, and those who did not were assigned to the conventional group. The choice of triglyceride-lowering therapies was at the discretion of the treating physicians. Plasmapheresis included therapeutic plasma exchange (TPE) and double filtration plasmapheresis (DFPP). Study Outcomes and Definitions The primary outcome was organ failure–free days (OFFD) to 14 days of enrollment, defined as the number of days alive without failure of respiration, kidney, or cardiovascular organ systems.26 An individual Sequential Organ Failure Assessment (SOFA) score of 2 or more was defined as organ failure. Only the final period of OFFD was counted. Patients discharged from the hospital before 14 days were considered alive and free from organ failure since the day of discharge. Patients who died before day 14 were assigned zero OFFD. Secondary outcomes included new-onset organ failure to day 14, SOFArank, and change in SOFAmax, intensive care unit (ICU)–free days to day 14, ICU need, hospital-free days to day 60, mortality, and incidence of infected pancreatic necrosis by day 60 of enrollment and laboratory results including triglyceride level within 3 days after enrollment and C-reactive protein level within 7 days after enrollment. New-onset organ failure was defined as organ failure that is not present in the first 24 hours after enrollment. SOFArank was a ranking parameter according to the cumulative daily change in SOFA score from day 1 to day 14. For each patient, it was calculated as a sum of the daily change in SOFA score (defined as the daily total SOFA score minus the baseline SOFA score) over the first 14 study days.27 Discharge was counted (from the day of discharge forward) as a score of 0 minus baseline score, and death was counted (from the day of death forward) as a maximum score of 24 minus baseline score. The resulting cumulative daily change score was used to rank participants from fast organ failure resolution (lowest scores) to worsening organ failure and death (highest scores). Change in SOFAmax was defined as the maximum SOFA score within 14 days minus the baseline SOFA score.28 The definition of other secondary outcomes can be found in the published protocol.23 Data Collection In this study, all data were extracted from the electronic database (Unimed Scientific Inc) of the PERFORM study (phase 1, including 300 participants), including deidentified data on demographic characteristics, clinical data concerning the daily treatment and laboratory results, and the follow-up data on day 60 of enrollment. All the data were collected and stored in a secure web-based database, and the coordinating center of CAPCTG is responsible for the safety and integrity of the collected data. The follow-up on day 60 was implemented through telephone. More details regarding data collection can be found in the published protocol and the website of CAPCTG.23 Statistical Analysis The normality for continuous variables was determined by the Shapiro-Wilk test. Continuous normally distributed data were reported as mean (SD). Skewed continuous data were reported as median (IQR). Categorical data were summarized by counts and percentages. The intergroup difference was compared by t test or Wilcoxon rank-sum test for continuous variables depending on their normality and the χ2 test or Fisher exact test for categorical data. Propensity score matching (PSM) analysis was used to control potential confounders. Patients who received plasmapheresis were matched 1:1 with patients who received conventional treatment using their propensity score. We followed 3 rules to choose the variables for PSM: (1) potential baseline differences between groups with a P value less than .10; (2) potentially relevant variables according to previous studies and clinical considerations; and (3) missing data less than 10%. Collinearity was additionally tested to ensure the independence of each variable. As a result, age,29,30 sex,4,30 body mass index30 (BMI), baseline triglyceride level,30 baseline Acute Physiology and Chronic Health Evaluation II (APACHE II) score,31,32,33 and the baseline SOFA score4 were involved. Genetic matching with a caliper width of 0.3 was used in the PSM. Standardized mean difference was used to assess the balance of baseline covariates between treatment groups in the matched sample with that in the unmatched sample. A standardized mean difference of more than 0.1 and a 2-sided P value of less than .05 indicated a significant imbalance in the baseline covariate. For the matched pairs, the difference in binomial outcomes between groups was assessed with risk difference and 95% CIs. The differences in continuous outcomes were assessed with a median difference and 95% CIs calculated with the Hodges-Lehmann estimation of location shift. The P value was calculated with the Wilcoxon signed-rank test and McNemar test for matched data. Kaplan-Meier methods were used to show curves to organ failure resolution in the matched cohorts. A log-rank P-test stratified on the matched pairs was used to test the equality of the estimated survival curves. A Cox proportional hazards model that incorporated a robust sandwich-type variance estimator to account for the matched nature of the data was used to estimate cause-specific hazard ratios (HRs).34,35 To evaluate the robustness of our findings, we performed a sensitivity analysis using inverse probability of treatment weighting (IPTW) analysis with the same variables as PSM. Comparisons of differences between groups were performed using χ2 test for binary variables and Wilcoxon rank-sum test for continuous variables weighted by the inverse probability of treatment. All analyses were performed using a uniform 2-sided test, with a significance level of .05, and presented with 2-sided 95% CIs. Analyses were performed using SAS software, version 9.4 (SAS Institute) and R software, version 4.1.1 (R Project for Statistical Computing). Data were analyzed from April to May 2022. Results Baseline Characteristics The PERFORM registry achieved its phase 1 goal in January 2022, with 1076 patients from 28 sites assessed for eligibility. Among them, 300 were enrolled, and the 60-day follow-up was successfully implemented in all the patients (Figure 1). The first patient was enrolled on November 7, 2020, and the last on November 30, 2021. The follow-up of the 300th patient was completed on January 30, 2022. After excluding 33 patients who underwent blood purification other than plasmapheresis, 267 patients were involved in this analysis. Figure 1. The Flow of Participants Through the Study To convert triglycerides (TG) to millimoles per liter, multiply by 0.0113. AP indicates acute pancreatitis; OF, organ failure; PSM, propensity score matching; SIRS, systemic inflammatory response syndrome. Of the 267 patients, 56 received at least 1 plasmapheresis session, and 211 received conventional medical treatment. Patients in the plasmapheresis group had significantly higher APACHE II, SOFA, and systemic inflammatory response syndrome (SIRS) scores at enrollment than patients in the conventional group (Table 1). Baseline respiratory failure (24 [43%] vs 46 [22%]; P < .001, Fisher exact test) and cardiovascular failure (6 [11%] vs 1 [1%]; P < .001, Fisher exact test) were more frequent in the plasmapheresis group (Table 1). Table 1. Baseline Characteristics of Plasmapheresis and Conventional Groups Before and After Propensity Score Matching Characteristics Participants before matching, No. (%) Participants after matching, No. (%) Plasmapheresis (n = 56) Conventional (n = 211) P value Plasmapheresis (n = 47) Conventional (n = 47) P value Age, median (IQR), y 36.5 (31.5-43.0) 37.0 (31.0-44.0) .96 36.5 (31.8-43.0) 37.0 (28.5-43.0) .76 Sex Male 33 (59) 152 (72) .06 29 (62) 30 (64) >.99 Female 23 (41) 59 (28) 18 (38) 17 (36) BMI, mean (SD)a 27.3 (4.1) 27.9 (4.4) .70 28.0 (3.8) 26.8 (3.3) .95 Smoking 26 (46) 73 (35) .12 22 (47) 14 (30) .14 Drinking 23 (41) 76 (36) .54 21 (45) 17 (36) .53 Acute pancreatitis history 28 (50) 120 (57) .37 25 (53) 33 (70) .14 Academic hospital 53 (95) 196 (93) .77 44 (94) 40 (85) .32 APACHE II score, median (IQR) 9.0 (6.0-14.0) 4.0 (2.0-7.0) <.001 7.0 (4.0-12.0) 8.0 (5.8-11.0) >.99 APACHE II ≥8 33 (59) 43 (20) <.001 24 (51) 23 (49) >.99 SOFA score, median (IQR) 2.0 (1.0-4.0) 1.0 (0.0-2.0) <.001 2.0 (0.0-3.0) 2.0 (1.0-3.0) .85 Respiratory failure 24 (43) 46 (22) <.001 17 (36) 19 (40) .83 Circulatory failure 6 (11) 1 (1) <.001 1 (2) 0 >.99 Kidney failure 8 (14) 14 (7) .12 5 (11) 5 (11) >.99 SIRS score, median (IQR) 7.0 (5.0-10.0) 5.0 (3.0-7.0) <.001 7.0 (5.0-7.8) 5.0 (4.0-9.5) .71 CTSI score, median (IQR) 2.0 (2.0-4.0) 2.0 (1.0-4.0) .54 2.0 (2.0-3.8) 4.00 (2.0-6.0) .17 TG, median (IQR), mmol/L 23.8 (16.9-36.5) 20.9 (15.9-30.9) .13 23.2 (16.9-29.6) 24.5 (17.8-38.5) .88 CRP, median (IQR), mg/L 128.9 (26.4-193.6) 36.9 (8.4-125.4) .009 145.4 (52.5-238.8) 164.9 (90.6-250.2) .35 PCT, median (IQR), ug/L 1.9 (0.3-6.2) 0.3 (0.1-1.2) .001 3.6 (0.1-9.0) 1.1 (0.3-2.9) .83 Triglyceride-lowering therapies Insulin 46 (82) 177 (84) .84 38 (81) 42 (89) .39 Heparin 49 (8) 176 (83) .54 42 (89) 36 (77) .17 Fasting 56 (100) 211 (100) NA 47 (100) 47 (100) NA Abbreviations: APACHE, Acute Physiology and Chronic Health Evaluation; BMI, body mass index; CRP, C-reactive protein; CTSI, computed tomography severity index; NA, not applicable; PCT, procalcitonin; SIRS, systemic inflammatory response syndrome; SOFA, Sequential Organ Failure Assessment; TG, triglyceride. SI conversions: To convert CRP to milligrams per liter, multiply by 10; TG to milligrams per deciliter, divide by 0.0113. a Body mass index is calculated as weight in kilograms divided by height in meters squared. Propensity Score Matching After PSM, 47 matched pairs were created. The imbalance in the baseline characteristics was significantly reduced after PSM (eFigure 1 in Supplement 1). The baseline characteristics of the entire study cohort and the PSM cohort are presented in Table 1. There was no significant difference between groups after PSM. Plasmapheresis The detailed characteristics of the plasmapheresis procedures are shown in eTable 1 in Supplement 1. In the unmatched cohort, 56 patients underwent plasmapheresis treatment, of whom 50 received TPE, and 6 received DFPP. For the timing of plasmapheresis, 40 patients underwent the first session on day 1 and 13 on day 2. Each session used a median (IQR) of 2000 (2000-2700) mL plasma and took a median (IQR) of 2.5 (2.0-3.0) hours. The median triglyceride levels of both groups from days 1 to 3 are shown in Figure 2, and there was no difference between groups for plasma triglyceride level on all the study days. Figure 2. Daily Serum Triglyceride (TG) Levels in the Matched Cohort Violin plots show medians (thick dashed lines), interquartile ranges (thin dashed lines), and distribution of daily serum triglyceride levels among patients. To convert TG to milligrams per deciliter, divide by 0.0113. Primary Outcome: OFFD In the matched cohort, no difference was found in OFFD to day 14 between the plasmapheresis group and the conventional group (median [IQR], 12.0 [8.0 to 14.0] vs 13.0 [8.0 to 14.0]; median difference, 0.00; 95% CI, −1.00 to 1.00; P = .94). There was no difference in the probability of organ failure resolution (HR, 0.80; 95% CI, 0.47 to 1.37; log-rank P = .32) between the matched cohorts with Kaplan-Meier curves and Cox proportional hazards models (Figure 3). Figure 3. Time to Organ Failure Resolution by Day 14 in the Matched Cohort The Kaplan-Meier curves for the cumulative incidence of organ failure resolution from enrollment to day 14 in the matched cohort. Secondary Outcomes There was no difference between groups for SOFArank, change in SOFAmax, and new-onset organ failure (Table 2). The median C-reactive protein (CRP) levels and SOFA scores from days 1 to 7 are shown in eFigures 2 and 3 in Supplement 1, and there was no difference between groups for CRP levels and SOFA score on all the study days. However, patients in the plasmapheresis group, compared with the conventional group, had a greater need for ICU admission (44 [93.6%] vs 24 [51.1%], risk difference, 0.43; 95% CI, 0.27-0.58; P < .001). There were no differences in 60-day mortality, ICU-free days to day 14, or hospital-free days to day 60 between groups (Table 2). Table 2. Outcomes of Plasmapheresis and Conventional Groups After Propensity Score Matching Outcome Patients, median (IQR) P value Plasmapheresis (n = 47) Conventional (n = 47) Difference (95% CI)a Primary outcome OFFD to day 14 12.0 (8.0 to 14.0) 13.0 (8.0 to 14.0) 0.00 (−1.00 to 1.00) .94 Secondary outcomes New-onset OF to day 14, No. (%) 20 (43) 14 (30) 0.13 (−0.06 to 0.32) .31 SOFArank −11.0 (−28.0 to 0.0) −12.0 (−26.0 to 1.0) 0.00 (−8.00 to 7.00) .97 Change in SOFAmax 1.0 (0.0 to 3.0) 1.0 (0.0 to 2.0) 0.00 (−1.00 to 1.00) .51 ICU-free days to day 14 9.0 (6.0 to 11.0) 10.0 (6.0 to 14.0) −1.00 (−3.00 to 1.00) .20 Hospital-free days to day 60 46.0 (39.0 to 52.0) 52.0 (44.0 to 53.0) −3.00 (−6.00 to 0.00) .05 ICU need, No. (%) 44 (94) 24 (51) 0.43 (0.27 to 0.58) <.001 60-day mortality, No. (%) 3 (6) 2 (4) 0.02 (−0.07 to 0.11) >.99 IPN, No. (%) 6 (13) 3 (6) 0.06 (−0.05 to 0.18) .51 Abbreviations: ICU, intensive care unit; IPN, infected pancreatic necrosis; OF, organ failure; OFFD, organ failure–free day; SOFA, Sequential Organ Failure Assessment. a Difference means the risk difference for binomial outcomes and the median difference for continuous outcomes calculated with a Hodges-Lehmann estimation of location shift between groups. Sensitivity Analysis The PS distribution in the IPTW completely overlapped with the original cohort. The results showed no difference between groups in OFFD to day 14 (eTable 2 in Supplement 1). For secondary outcomes, the plasmapheresis group had fewer ICU-free days to day 14 (median [IQR], 10.0 [7.0-11.0] vs 14.00 [7.0-14.0]; P < .001) and greater need for ICU (264 [94%] vs 112 [36%], P < .001) compared with the conventional group. There was no difference in other secondary outcomes between groups. Discussion In this large, prospective, multicenter cohort study involving patients with HTG-AP, no association between plasmapheresis and the incidence and duration of organ failure was observed. This finding held true after sensitivity analysis. Moreover, analyses of the secondary outcomes showed that plasmapheresis was not associated with an enhanced triglyceride-lowering effect compared with medical treatment, and it appeared to be associated with a greater need for admission to ICU. A possible explanation for the findings is that plasmapheresis may not decrease triglyceride levels more efficiently than conventional medical therapy, as shown in our study and other observational studies conducted by Chen et al36 and Miyamoto et al.37 Recently, a randomized trial also demonstrated that, compared with insulin treatment, plasmapheresis did not result in more efficient triglyceride-lowering.18 Of note, the trial only involved patients presumed mild, and no data regarding organ function were shown, limiting its generalizability to patients with more severe conditions. In contrast, organ failure was present in 56% of patients (168 of 300) overall and in 69% of the matched cohort (65 of 94). Although studies have investigated the clinical relevance of plasmapheresis in patients with HTG-AP, the results are discordant due to divergent study designs and quality. A study compared plasmapheresis combined with hemofiltration to hemofiltration alone and found that the combined treatment was associated with lower mortality and shorter hospital stay.16 Another study found DFPP was associated with reduced major complications in patients with HTG-AP with higher triglyceride levels.9 However, other studies found plasmapheresis was not associated with reduced mortality or length of hospital stay.38,39,40,41,42,43 Plasmapheresis has been used for decades in patients with HTG-AP because of its purported rapid triglyceride-lowering effects. Moreover, the Havel theory, the most widely accepted theory for the pathogenesis of HTG-AP, assumes that the lipid toxic effects of free fatty acids (FFA) to the pancreatic endothelium and acinar cells is the key mechanism.44 Singh et al45 also found that pancreatic enzymes can enter the surrounding visceral adipocytes in multiple ways, leading to the generation of excess nonesterified fatty acids. On that basis, it was thought that conventional plasma exchange, rather than DFPP (which did not remove FFA), may benefit patients with HTG-AP by removing FFA from the patient's plasma.46 However, plasma FFA levels were similar between patients undergoing plasmapheresis and those undergoing insulin therapy in a recent randomized trial.18 Due to the challenges in maintaining laboratory control over multiple sites, we did not measure FFA levels in this study. In this study, the use of plasmapheresis was associated with a greater need for ICU admission. Technically, plasmapheresis is an invasive treatment that requires central venous access, specific devices, and rigorous monitoring for coagulation, which are not readily available in most wards. As a result, patients with HTG-AP were commonly admitted to ICU for implementation of plasmapheresis and discharged when a satisfactory triglyceride level was achieved. Thus the indication for ICU admission was not based on disease severity or organ failure but because of the logistics of delivering plasmapheresis. ICU admission is always associated with increased costs, and there is a risk of ICU-related complications, including delirium, anxiety, depression, and posttraumatic stress disorder.47 Moreover, plasmapheresis is reported to be associated with multiple potential vascular complications, including catheter-related complications (such as skin rash, pipeline congestion, deep vein thrombosis, perforation, and air embolism), electrolyte disorders, anticoagulation-related bleeding, infection, and allergic reactions.48 This study provided evidence that plasmapheresis may not be used in the management of HTG-AP because of the cost and potential complications and because it may not confer any clinical benefit. Of note, patients received different types of plasmapheresis, and the timing was also different, which might impact the results. Definitive and confirmatory evidence would require a randomized controlled trial. Strengths and Limitations This study has several strengths. First, it was based on the largest multicenter cohort study regarding triglyceride-lowering therapy in HTG-AP of which we are aware, and the data were prospectively collected. Second, this study selected OFFD as the primary outcome, and organ failure is the key determinant of AP severity and outcome. Third, we performed PSM and IPTW analyses to reduce patient selection bias and provide a valid comparison between the plasmapheresis and medical therapy. There are also some limitations. As in all observational studies, confounders were inevitable despite the statistical effort we made. Therefore the clinical implication of our study should be interpreted with caution. Moreover, the cohort involved a fairly small number of patients undergoing plasmapheresis, and the drawback of PSM led to 9 unmatched patients, which further reduced the sample size. Third, HTG-AP only accounts for 4% to 6% of acute pancreatitis cases outside China,49 which may impact the generalizability of the results to other countries. Additionally, 69 patients were recruited from the first site (23% of the study participants), suggesting potential center effects, which means hospital-level characteristics might impact the results we observed. Overall, a large randomized trial is needed before a clear recommendation can be made. Conclusion This large, multicenter prospective cohort study of HTG-AP found that early plasmapheresis was not associated with the incidence and duration of organ failure but with a greater need for ICU admission. A definitive randomized controlled trial can be justified in light of these findings. Supplement 1. eTable 1. Plasmapheresis Procedure eTable 2. Outcomes of Plasmapheresis and Conventional Groups After IPTW eFigure 1. Standardized Mean Difference (SMD) of Variables Before and After Propensity Score Matching and Weighting eFigure 2. Daily CRP Level in Matched Cohort eFigure 3. Daily SOFA Score in Matched Cohort Click here for additional data file. Supplement 2. Nonauthor Collaborators Click here for additional data file. Supplement 3. Data Sharing Statement Click here for additional data file. ==== Refs References 1 Forsmark CE, Vege SS, Wilcox CM. Acute Pancreatitis. N Engl J Med. 2016;375 (20 ):1972-1981. doi:10.1056/NEJMra1505202 27959604 2 Adiamah A, Psaltis E, Crook M, Lobo DN. A systematic review of the epidemiology, pathophysiology and current management of hyperlipidaemic pancreatitis. Clin Nutr. 2018;37 (6 Pt A ):1810-1822. doi:10.1016/j.clnu.2017.09.028 29056284 3 He W, Wang G, Yu B, . Elevated hypertriglyceridemia and decreased gallstones in the etiological composition ratio of acute pancreatitis as affected by seasons and festivals: a two-center real-world study from China. Front Cell Infect Microbiol. 2022;12 :976816. doi:10.3389/fcimb.2022.976816 36506025 4 Lu Z, Li M, Guo F, . Timely reduction of triglyceride levels is associated with decreased persistent organ failure in hypertriglyceridemic pancreatitis. Pancreas. 2020;49 (1 ):105-110. doi:10.1097/MPA.0000000000001463 31856085 5 Al-Humoud H, Alhumoud E, Al-Hilali N. Therapeutic plasma exchange for acute hyperlipidemic pancreatitis: a case series. Ther Apher Dial. 2008;12 (3 ):202-204. doi:10.1111/j.1744-9987.2008.00572.x 18503696 6 Kyriakidis AV, Raitsiou B, Sakagianni A, . Management of acute severe hyperlipidemic pancreatitis. Digestion. 2006;73 (4 ):259-264. doi:10.1159/000095425 16940728 7 Mao EQ, Tang YQ, Zhang SD. Formalized therapeutic guideline for hyperlipidemic severe acute pancreatitis. World J Gastroenterol. 2003;9 (11 ):2622-2626. doi:10.3748/wjg.v9.i11.2622 14606112 8 Padmanabhan A, Connelly-Smith L, Aqui N, . Guidelines on the use of therapeutic apheresis in clinical practice—evidence-based approach from the Writing Committee of the American Society for Apheresis: the eighth special issue. J Clin Apher. 2019;34 (3 ):171-354. doi:10.1002/jca.21705 31180581 9 Chang CT, Tsai TY, Liao HY, . Double filtration plasma apheresis shortens hospital admission duration of patients with severe hypertriglyceridemia-associated acute pancreatitis. Pancreas. 2016;45 (4 ):606-612. doi:10.1097/MPA.0000000000000507 26491906 10 Gavva C, Sarode R, Agrawal D, Burner J. Therapeutic plasma exchange for hypertriglyceridemia induced pancreatitis: a rapid and practical approach. Transfus Apher Sci. 2016;54 (1 ):99-102. doi:10.1016/j.transci.2016.02.001 26947356 11 Gubensek J, Buturovic-Ponikvar J, Romozi K, Ponikvar R. Factors affecting outcome in acute hypertriglyceridemic pancreatitis treated with plasma exchange: an observational cohort study. PLoS One. 2014;9 (7 ):e102748. doi:10.1371/journal.pone.0102748 25047332 12 Huang C, Liu J, Lu Y, . Clinical features and treatment of hypertriglyceridemia-induced acute pancreatitis during pregnancy: a retrospective study. J Clin Apher. 2016;31 (6 ):571-578. doi:10.1002/jca.21453 26946248 13 Nakhoda S, Zimrin AB, Baer MR, Law JY. Use of the APACHE II score to assess impact of therapeutic plasma exchange for critically ill patients with hypertriglyceride-induced pancreatitis. Transfus Apher Sci. 2017;56 (2 ):123-126. doi:10.1016/j.transci.2016.10.005 27789124 14 Ramírez-Bueno A, Salazar-Ramírez C, Cota-Delgado F, de la Torre-Prados MV, Valdivielso P. Plasmapheresis as treatment for hyperlipidemic pancreatitis. Eur J Intern Med. 2014;25 (2 ):160-163. doi:10.1016/j.ejim.2013.08.701 24012324 15 Stefanutti C, Di Giacomo S, Vivenzio A, . Therapeutic plasma exchange in patients with severe hypertriglyceridemia: a multicenter study. Artif Organs. 2009;33 (12 ):1096-1102. doi:10.1111/j.1525-1594.2009.00810.x 20091936 16 Wang HL, Yu KJ. Sequential blood purification therapy for critical patients with hyperlipidemic severe acute pancreatitis. World J Gastroenterol. 2015;21 (20 ):6304-6309. doi:10.3748/wjg.v21.i20.6304 26034366 17 Zeitler H, Balta Z, Klein B, Strassburg CP. Extracorporeal treatment in severe hypertriglyceridemia-induced pancreatitis. Ther Apher Dial. 2015;19 (4 ):405-410. doi:10.1111/1744-9987.12286 25851561 18 Gubensek J, Andonova M, Jerman A, . Comparable triglyceride reduction with plasma exchange and insulin in acute pancreatitis—a randomized trial. Front Med (Lausanne). 2022;9 :870067. doi:10.3389/fmed.2022.870067 35492338 19 Working Group IAP/APA Acute Pancreatitis Guidelines. IAP/APA evidence-based guidelines for the management of acute pancreatitis. Pancreatology. 2013;13 (4 )(suppl 2 ):e1-e15. doi:10.1016/j.pan.2013.07.063 24054878 20 Crockett SD, Wani S, Gardner TB, Falck-Ytter Y, Barkun AN; American Gastroenterological Association Institute Clinical Guidelines Committee. American Gastroenterological Association Institute guideline on initial management of acute pancreatitis. Gastroenterology. 2018;154 (4 ):1096-1101. doi:10.1053/j.gastro.2018.01.032 29409760 21 Tenner S, Baillie J, DeWitt J, Vege SS. American College of Gastroenterology guideline: management of acute pancreatitis. Am J Gastroenterol. 2013;108 (9 ):1400-1416. doi:10.1038/ajg.2013.218 23896955 22 Leppäniemi A, Tolonen M, Tarasconi A, . 2019 WSES guidelines for the management of severe acute pancreatitis. World J Emerg Surg. 2019;14 :27. doi:10.1186/s13017-019-0247-0 31210778 23 Cao L, Zhou J, Chen M, ; Chinese Acute Pancreatitis Clinical Trials Group (CAPCTG). The Effect of plasma triglyceride-lowering therapy on the evolution of organ function in early hypertriglyceridemia-induced acute pancreatitis patients with worrisome features (PERFORM Study): rationale and design of a multicenter, prospective, observational, cohort study. Front Med (Lausanne). 2021;8 :756337. doi:10.3389/fmed.2021.756337 34966749 24 von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med. 2007;147 (8 ):573-577. doi:10.7326/0003-4819-147-8-200710160-00010 17938396 25 Gelrud AWD. Hypertriglyceridemia-induced acute pancreatitis. 2022. Accessed December 25, 2022. https://www.uptodate.com/contents/hypertriglyceridemia-induced-acute-pancreatitis 26 Hernández G, Ospina-Tascón GA, Damiani LP, ; The ANDROMEDA SHOCK Investigators and the Latin America Intensive Care Network (LIVEN). Effect of a resuscitation strategy targeting peripheral perfusion status vs serum lactate levels on 28-day mortality among patients with septic shock: the ANDROMEDA-SHOCK randomized clinical trial. JAMA. 2019;321 (7 ):654-664. doi:10.1001/jama.2019.0071 30772908 27 Gelissen H, de Grooth HJ, Smulders Y, . Effect of low-normal vs high-normal oxygenation targets on organ dysfunction in critically ill patients: a randomized clinical trial. JAMA. 2021;326 (10 ):940-948. doi:10.1001/jama.2021.13011 34463696 28 de Grooth HJ, Geenen IL, Girbes AR, Vincent JL, Parienti JJ, Oudemans-van Straaten HM. SOFA and mortality endpoints in randomized controlled trials: a systematic review and meta-regression analysis. Crit Care. 2017;21 (1 ):38. doi:10.1186/s13054-017-1609-1 28231816 29 Zheng Y, Zhou Z, Li H, . A multicenter study on etiology of acute pancreatitis in Beijing during 5 years. Pancreas. 2015;44 (3 ):409-414. doi:10.1097/MPA.0000000000000273 25438072 30 Nawaz H, Koutroumpakis E, Easler J, . Elevated serum triglycerides are independently associated with persistent organ failure in acute pancreatitis. Am J Gastroenterol. 2015;110 (10 ):1497-1503. doi:10.1038/ajg.2015.261 26323188 31 Cho JH, Kim TN, Chung HH, Kim KH. Comparison of scoring systems in predicting the severity of acute pancreatitis. World J Gastroenterol. 2015;21 (8 ):2387-2394. doi:10.3748/wjg.v21.i8.2387 25741146 32 Mederos MA, Reber HA, Girgis MD. Acute pancreatitis: a review. JAMA. 2021;325 (4 ):382-390. doi:10.1001/jama.2020.20317 33496779 33 Papachristou GI, Muddana V, Yadav D, . Comparison of BISAP, Ranson’s, APACHE-II, and CTSI scores in predicting organ failure, complications, and mortality in acute pancreatitis. Am J Gastroenterol. 2010;105 (2 ):435-441. doi:10.1038/ajg.2009.622 19861954 34 Austin PC, Schuster T. The performance of different propensity score methods for estimating absolute effects of treatments on survival outcomes: a simulation study. Stat Methods Med Res. 2016;25 (5 ):2214-2237. doi:10.1177/0962280213519716 24463885 35 Tam DY, Dharma C, Rocha R, . Long-term survival after surgical or percutaneous revascularization in patients with diabetes and multivessel coronary disease. J Am Coll Cardiol. 2020;76 (10 ):1153-1164. doi:10.1016/j.jacc.2020.06.052 32883408 36 Chen Z, Huang X, Zhang M, Han N, Ning Y. Rapid reduction in triglyceride levels by therapeutic plasma exchange in patients with hypertriglyceridemic pancreatitis. J Clin Apher. 2022;37 (1 ):82-90. doi:10.1002/jca.21954 34846767 37 Miyamoto K, Horibe M, Sanui M, . Plasmapheresis therapy has no triglyceride-lowering effect in patients with hypertriglyceridemic pancreatitis. Intensive Care Med. 2017;43 (6 ):949-951. doi:10.1007/s00134-017-4722-3 28233051 38 He WH, Yu M, Zhu Y, . Emergent triglyceride-lowering therapy with early high-volume hemofiltration against low-molecular-weight heparin combined with insulin in hypertriglyceridemic pancreatitis: a prospective randomized controlled trial. J Clin Gastroenterol. 2016;50 (9 ):772-778. doi:10.1097/MCG.0000000000000552 27574886 39 Jin M, Peng JM, Zhu HD, . Continuous intravenous infusion of insulin and heparin vs plasma exchange in hypertriglyceridemia-induced acute pancreatitis. J Dig Dis. 2018;19 (12 ):766-772. doi:10.1111/1751-2980.12659 30117293 40 Araz F, Bakiner OS, Bagir GS, Soydas B, Ozer B, Kozanoglu I. Continuous insulin therapy versus apheresis in patients with hypertriglyceridemia-associated pancreatitis. Eur J Gastroenterol Hepatol. 2022;34 (2 ):146-152. doi:10.1097/MEG.0000000000002025 33323759 41 Dichtwald S, Meyer A, Zohar E, Ifrach N, Rotlevi G, Fredman B. Hypertriglyceridemia induced pancreatitis: plasmapheresis or conservative management? J Intensive Care Med. 2022;37 (9 ):1174-1178. doi:10.1177/08850666211054365 34730445 42 Webb CB, Leveno M, Quinn AM, Burner J. Effect of TPE vs medical management on patient outcomes in the setting of hypertriglyceridemia-induced acute pancreatitis with severely elevated triglycerides. J Clin Apher. 2021;36 (5 ):719-726. doi:10.1002/jca.21922 34228372 43 Lin Y, Yu S, Wu X, . Clinical analysis of the therapeutic effect of plasma exchange on hypertriglyceridemic acute pancreatitis: A retrospective study. Transfusion. 2022;62 (1 ):72-81. doi:10.1111/trf.16724 34735720 44 Havel RJ. Pathogenesis, differentiation and management of hypertriglyceridemia. Adv Intern Med. 1969;15 :117-154.4908616 45 de Oliveira C, Khatua B, Noel P, . Pancreatic triglyceride lipase mediates lipotoxic systemic inflammation. J Clin Invest. 2020;130 (4 ):1931-1947. doi:10.1172/JCI132767 31917686 46 Gubensek J. Potential differences between double-filtration plasmapheresis and therapeutic plasma exchange in the treatment of acute hypertriglyceridemic pancreatitis. J Clin Apher. 2021;36 (1 ):223-224. doi:10.1002/jca.21843 32941659 47 Rose L, Muttalib F, Adhikari NKJ. Psychological consequences of admission to the ICU: helping patients and families. JAMA. 2019;322 (3 ):213-215. doi:10.1001/jama.2019.9059 31310279 48 He W, Cai W, Yang X, . Insulin or blood purification treatment for hypertriglyceridaemia-associated acute pancreatitis: a systematic review and meta-analysis. Pancreatology. 2022;22 (7 ):846-857. doi:10.1016/j.pan.2022.07.013 35981949 49 Matta B, Gougol A, Gao X, . Worldwide variations in demographics, management, and outcomes of acute pancreatitis. Clin Gastroenterol Hepatol. 2020;18 (7 ):1567-1575.e.2. doi:10.1016/j.cgh.2019.11.017 31712075