Lin-Chun (Roxanne) Wang, MS

Supervisor, Clinical Research

Lin-Chun (Roxanne)  Wang

Roxanne joined RRI in 2018. She holds an MS degree in human nutrition from Columbia University and is a Certified Clinical Research Coordinator®. Her expertise encompasses all aspects of clinical research development, execution, and analysis. Prior to working at RRI, she conducted clinical research at Morgan Stanley Children’s Hospital in the field of exercise physiology, and at Columbia University Medical Center in the field of bioinformatics. She has also interned as a dietician at the Mennonite Christian Hospital in Taiwan. At RRI, she supports many ongoing research projects in the end-stage renal disease patient population. Her responsibilities also include managing day-to-day activities of trials and working closely with the regulatory team to ensure compliance by reviewing policies and procedures. Outside of science and research, she is a freelance writer, and her areas of interest include food, music, arts, and culture.

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Recent Articles by Lin-Chun (Roxanne) Wang, MS

  • Clinical journal of the American Society of Nephrology
    June 11, 2024
    Effects of individualized anemia therapy on hemoglobin stability: a randomized controlled pilot trial in hemodialysis patients
    Doris H Fuertinger, Lin-Chun Wang, David J Jörg, Lemuel Rivera Fuentes, Xiaoling Ye, Sabrina Casper, Hanjie Zhang, Ariella Mermelstein, Alhaji Cherif, Kevin Ho, Jochen G Raimann, Lela Tisdale, Peter Kotanko, Stephan Thijssen
    RESULTSThe intervention group showed an improved median percentage of hemoglobin measurements within target at 47% (IQR 39 to 58), with a 10 percentage points median difference between the two groups (95% CI: 3 to 16; P=0.008). The odds ratio of being within the hemoglobin target in the standard of care group compared to the group receiving the personalized ESA recommendations was 0.68 (95% CI: 0.51 to 0.92). The variability of hemoglobin levels decreased in the intervention group, with the percentage of patients experiencing fluctuating hemoglobin levels being 45% vs 82% in the standard of care group. ESA usage was reduced by about 25% in the intervention group.CONCLUSIONSOur results demonstrated an improved hemoglobin target attainment and variability by employing personalized ESA recommendations using the physiology-based anemia therapy assistance software.BACKGROUNDAnemia is common among hemodialysis patients. Maintaining stable hemoglobin levels within predefined target levels can be challenging, particularly in patients with frequent hemoglobin fluctuations both above and below the desired targets. We conducted a multi-center, randomized, controlled trial comparing our anemia therapy assistance software against a standard population-based anemia treatment protocol. We hypothesized that personalized dosing of erythropoiesis stimulating agents (ESA) improves hemoglobin target attainment.METHODSNinety-six patients undergoing hemodialysis and receiving methoxy polyethylene glycol-epoetin beta were randomized 1:1 to the intervention group (personalized ESA dose recommendations computed by the software) or the standard of care group for twenty-six weeks. The therapy assistance software combined a physiology-based mathematical model and a model predictive controller designed to stabilize hemoglobin levels within a tight target range (10 to 11 g/dl). The primary outcome measure was the percentage of hemoglobin measurements within the target. Secondary outcome measures included measures of hemoglobin variability and ESA utilization.
  • Nephrology, dialysis, transplantation
    November 16, 2023
    Real-time prediction of intradialytic hypotension using machine learning and cloud computing infrastructure
    Hanjie Zhang, Lin-Chun Wang, Sheetal Chaudhuri, Aaron Pickering, Len Usvyat, John Larkin, Pete Waguespack, Zuwen Kuang, Jeroen P Kooman, Franklin W Maddux, Peter Kotanko
    RESULTSWe utilized data from 693 patients who contributed 42 656 hemodialysis sessions and 355 693 intradialytic SBP measurements. IDH occurred in 16.2% of hemodialysis treatments. Our model predicted IDH 15-75 min in advance with an AUROC of 0.89. Top IDH predictors were the most recent intradialytic SBP and IDH rate, as well as mean nadir SBP of the previous 10 dialysis sessions.CONCLUSIONSReal-time prediction of IDH during an ongoing hemodialysis session is feasible and has a clinically actionable predictive performance. If and to what degree this predictive information facilitates the timely deployment of preventive interventions and translates into lower IDH rates and improved patient outcomes warrants prospective studies.BACKGROUNDIn maintenance hemodialysis patients, intradialytic hypotension (IDH) is a frequent complication that has been associated with poor clinical outcomes. Prediction of IDH may facilitate timely interventions and eventually reduce IDH rates.METHODSWe developed a machine learning model to predict IDH in in-center hemodialysis patients 15-75 min in advance. IDH was defined as systolic blood pressure (SBP) <90 mmHg. Demographic, clinical, treatment-related and laboratory data were retrieved from electronic health records and merged with intradialytic machine data that were sent in real-time to the cloud. For model development, dialysis sessions were randomly split into training (80%) and testing (20%) sets. The area under the receiver operating characteristic curve (AUROC) was used as a measure of the model's predictive performance.
  • Hemodialysis international. International Symposium on Home Hemodialysis
    June 19, 2022
    Estimation of fluid status using three multifrequency bioimpedance methods in hemodialysis patients
    Lin-Chun Wang, Jochen G Raimann, Xia Tao, Priscila Preciado, Ohnmar Thwin, Laura Rosales, Stephan Thijssen, Peter Kotanko, Fansan Zhu
    DISCUSSIONAlthough segmental eight-point bioimpedance techniques provided comparable TBW measurements not affected by standing over a period of 10-15 min, the ECW/TBW ratio appeared to be significantly lower in InBody compared with Seca and Hydra. Results from our study showed lack of agreement between different bioimpedance devices; direct comparison of ECW, ICW, and ECW/TBW between different devices should be avoided and clinicians should use the same device to track the fluid status in their HD population in a longitudinal direction.INTRODUCTIONSegmental eight-point bioimpedance has been increasingly used in practice. However, whether changes in bioimpedance analysis components before and after hemodialysis (HD) using this technique in a standing position is comparable to traditional whole-body wrist-to-ankle method is still unclear. We aimed to investigate the differences between two eight-point devices (InBody 770 and Seca mBCA 514) and one wrist-to-ankle (Hydra 4200) in HD patients and healthy subjects in a standing position.FINDINGSOverall, total body water (TBW) was not different between the three devices, but InBody showed lower extracellular water (ECW) and higher intracellular water (ICW) compared to the other two devices. When intradialytic weight loss was used as a surrogate for changes in ECW (∆ECW) and changes in TBW (∆TBW), ∆ECW was underestimated by Hydra (-0.79 ± 0.89 L, p < 0.01), InBody (-1.44 ± 0.65 L, p < 0.0001), and Seca (-0.32 ± 1.34, n.s.). ∆TBW was underestimated by Hydra (-1.14 ± 2.81 L, n.s.) and InBody (-0.52 ± 0.85 L, p < 0.05) but overestimated by Seca (+0.93 ± 3.55 L, n.s.).METHODSThirteen HD patients were studied pre- and post-HD, and 12 healthy subjects once. Four measurements were performed in the following order: InBody; Seca; Hydra; and InBody again. Electrical equivalent models by each bioimpedance method and the fluid volume estimates by each device were also compared.
  • Blood purification
    August 10, 2021
    Gut Microbiome-Derived Uremic Toxin Levels in Hemodialysis Patients on Different Phosphate Binder Therapies
    Lin-Chun Wang, Leticia M Tapia, Xia Tao, Joshua E Chao, Ohnmar Thwin, Hanjie Zhang, Stephan Thijssen, Peter Kotanko, Nadja Grobe
    RESULTSThe SEV group reported a 3.3-fold higher frequency of BSS stool types 1 and 2 (more likely constipated, p < 0.05), whereas the SFO group reported a 1.5-fold higher frequency of BSS stool types 5-7 (more likely loose stool and diarrhea, not significant). Participants in the SFO group showed a trend toward better adherence to phosphate binder therapy (SFO: 87.6% vs. SEV: 66.6%, not significant). UTOX, serum phosphorus, nutritional and liver function markers, and tryptophan were not different between the two groups.CONCLUSIONThere was no difference in the gut microbiome-derived UTOX levels between phosphate binders (SFO vs. SEV), despite SFO therapy resulting in fewer constipated participants. This pilot study may inform study design of future clinical trials and highlights the importance of including factors beyond bowel habits and their association with UTOX levels.INTRODUCTIONConstipation is prevalent in patients with kidney failure partly due to the use of medication, such as phosphate binders. We hypothesized that serum levels of gut microbiome-derived uremic toxins (UTOX) may be affected by the choice of phosphate binder putatively through its impact on colonic transit time. We investigated two commonly prescribed phosphate binders, sevelamer carbonate (SEV) and sucroferric oxyhydroxide (SFO), and their association with gut microbiome-derived UTOX levels in hemodialysis (HD) patients.METHODSWeekly blood samples were collected from 16 anuric HD participants during the 5-week observational period. All participants were on active phosphate binder monotherapy with either SFO or SEV for at least 4 weeks prior to enrollment. Eight UTOX (7 gut microbiome-derived) and tryptophan were quantified using liquid chromatography-mass spectrometry. Serum phosphorus, nutritional, and liver function markers were also measured. For each substance, weekly individual levels, the median concentration per participant, and differences between SFO and SEV groups were reported. Patient-reported bowel movements, by the Bristol Stool Scale (BSS), and pill usage were assessed weekly.

We have true passion for advancing medical treatments to create a better future for dialysis patients worldwide. We care.

Lin-Chun (Roxanne) Wang, MS
Senior Research Scientist