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Attention Score in Context
| Title |
Refined hepatic grading system in chronic graft‐versus‐host disease improves prognostic risk stratification of long‐term outcomes
|
|---|---|
| Published in |
European Journal of Haematology, January 2021
|
| DOI | 10.1111/ejh.13576 |
| Pubmed ID | |
| Authors |
Igor Novitzky‐Basso, Saud AlHayli, Elizabeth Shin, Ivan Pasic, Zeyad Al‐Shaibani, Wilson Lam, Arjun Law, Fotios V. Michelis, Armin Gerbitz, Auro Viswabandya, Jeffrey H. Lipton, Rajat Kumar, Jonas Mattsson, Dennis Dong Hwan Kim |
| Abstract |
Hepatic grading systems for categorizing severity in chronic graft versus host disease (cGvHD) were determined arbitrarily, leading us to initiate the present study to provide objective evidence for the determination of optimal cut-off values and devise a hepatic grading system to predict prognosis. Of 842 patients who received allogeneic hematopoietic stem transplant (HCT), 336 patients diagnosed with cGvHD were evaluated for overall survival (OS) and non-relapse mortality (NRM) after cGVHD development. Multiple statistical parameters were evaluated to define optimal cut-off values of liver profile, including negative- (NPV), positive-predictive value (PPV), accuracy, and p-values as measures of risk stratification power. We found that alkaline phosphatase (ALP) ≥ 146 IU/L (NPV 83.4%, PPV 32.8%, accuracy 52.7%) and bilirubin ≥ 14 µmol/L (NPV 81.8%, PPV 39.4%, accuracy 68.1%) significantly correlated with OS. We developed a refined hepatic-cGvHD grading score (RHS), stratifying patients into a low RHS group with RHS score 0 OS at 3y (n=162) to 80.5%, compared to high RHS group with score 1-2 (n=172) 62.7%. Regarding NRM, score 0 segregated NRM at 3y to 11.9%, compared to score 1-2 19.6% p=0.09. RHS is promising for stratifying patients with cGVHD and liver involvement according to long-term outcomes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 33% |
| Researcher | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 1 | 33% |
| Unknown | 2 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 January 2021.
All research outputs
#22,774,430
of 25,387,668 outputs
Outputs from European Journal of Haematology
#1,635
of 1,864 outputs
Outputs of similar age
#455,376
of 525,858 outputs
Outputs of similar age from European Journal of Haematology
#38
of 43 outputs
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