Blood Res.  2023 Mar;58(1):36-41. 10.5045/br.2023.2022133.

Validating lactate dehydrogenase (LDH) as a component of the PLASMIC predictive tool (PLASMIC-LDH)

Affiliations
  • 1Perth Blood Institute, Perth, Australia.
  • 2Western Australia Centre of Thrombosis and Haemostasis (WACTH), Murdoch University, Perth, Australia.
  • 3Haematology, Hospital Ampang, Malaysia.
  • 4Centre for Clinical Trials, Hospital Ampang, Selangor, Malaysia.
  • 5Haematology, Northern Cancer Service, Tasmania, Australia.
  • 6Haematology, The Alfred Hospital, Melbourne,Australia.
  • 7Haematology, Westmead Hospital, New South Wales, Australia.
  • 8Haematology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
  • 9Haematology, The Canberra Hospital, Canberra, Australia.
  • 10Haematology and Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
  • 11Haematology, Singapore General Hospital, Singapore.
  • 12Haematology, KK Women's and Children's Hospital, Singapore.
  • 13Internal Medicine, Cha Bundang Medical Centre, Cha University, Seongnam, Korea.
  • 14Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • 15Internal Medicine, Seoul National University Hospital, Seoul, Korea.
  • 16Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong.
  • 17Haematology, Canterbury District Health Board, Christchurch, Auckland, New Zealand.
  • 18Haematology, North Shore Hospital, Auckland, New Zealand.
  • 19Haematology, Waitemata District Health Board, Auckland, New Zealand.
  • 20Calvery Mater Hospital Newcastle, Waratah, New South Wales, Australia.

Abstract

Background
The PLASMIC score is a convenient tool for predicting ADAMTS13 activity of <10%. Lactate dehydrogenase (LDH) is widely used as a marker of haemolysis in thrombotic thrombocytopenic purpura (TTP) monitoring, and could be used as a replacement marker for lysis. We aimed to validate the PLASMIC score in a multi-centre Asia Pacific region, and to explore whether LDH could be used as a replacement marker for lysis.
Methods
Records of patients with thrombotic microangiopathy (TMA) were reviewed. Patients’ ADAMTS13 activity levels were obtained, along with clinical/laboratory findings relevant to the PLASMIC score. Both PLASMIC scores and PLASMIC-LDH scores, in which LDH replaced traditional lysis markers, were calculated. We generated a receiver operator characteristics (ROC) curve and compared the area under the curve values (AUC) to determine the predictive ability of each score.
Results
46 patients fulfilled the inclusion criteria, of which 34 had ADAMTS13 activity levels of <10%. When the patients were divided into intermediate-to-high risk (scores 5‒7) and low risk (scores 0‒4), the PLASMIC score showed a sensitivity of 97.1% and specificity of 58.3%, with a positive predictive value (PPV) of 86.8% and negative predictive value (NPV) of 87.5%. The PLASMIC-LDH score had a sensitivity of 97.1% and specificity of 33.3%, with a PPV of 80.5% and NPV of 80.0%.
Conclusion
Our study validated the utility of the PLASMIC score, and demonstrated PLASMIC-LDH as a reasonable alternative in the absence of traditional lysis markers, to help identify high-risk patients for treatment via plasma exchange.

Keyword

Thrombotic microangiopathy; PLASMIC score; Lactate dehydrogenase (LDH)

Figure

  • Fig. 1 Study cohort design outlining the method of patient selection for analysis. The total PLASMIC/ PLASMIC LDH score was calculated with one point designated for each component and subsequently stratified into low risk (0–4 points), intermediate risk (5 points), and high risk (6–7 points).

  • Fig. 2 DeLong’s test for the receiver operator curve (ROC) with a comparison of the area under the curve (AUC) of PLASMIC (black) and PLASMIC-LDH (blue).


Reference

1. Furlan M, Robles R, Galbusera M, et al. 1998; von Willebrand factor- leaving protease in thrombotic thrombocytopenic purpura and the hemolytic-uremic syndrome. N Engl J Med. 339:1578–84. DOI: 10.1056/NEJM199811263392202. PMID: 9828245.
Article
2. Tsai HM, Lian EC. 1998; Antibodies to von Willebrand factor-cleaving protease in acute thrombotic thrombocytopenic purpura. N Engl J Med. 339:1585–94. DOI: 10.1056/NEJM199811263392203. PMID: 9828246. PMCID: PMC3159001.
Article
3. Sarode R, Bandarenko N, Brecher ME, et al. 2014; Thrombotic thrombocytopenic purpura: 2012 American Society for Apheresis (ASFA) consensus conference on classification, diagnosis, management, and future research. J Clin Apher. 29:148–67. DOI: 10.1002/jca.21302. PMID: 24136342.
Article
4. Tsai HM. 2003; Advances in the pathogenesis, diagnosis, and treatment of thrombotic thrombocytopenic purpura. J Am Soc Nephrol. 14:1072–81. DOI: 10.1097/01.ASN.0000060805.04118.4C. PMID: 12660343.
Article
5. Scully M, Hunt BJ, Benjamin S, et al. 2012; Guidelines on the diagnosis and management of thrombotic thrombocytopenic purpura and other thrombotic microangiopathies. Br J Haematol. 158:23–35. DOI: 10.1111/j.1365-2141.2012.09167.x. PMID: 22624596.
Article
6. Zheng XL, Vesely SK, Cataland SR, et al. 2020; ISTH guidelines for the diagnosis of thrombotic thrombocytopenic purpura. J Thromb Haemost. 18:2486–95. DOI: 10.1111/jth.15006. PMID: 32914582. PMCID: PMC8146131.
Article
7. Martin IW, Katus MC, Martin CL, Szczepiorkowski ZM, Gorham JD, Dunbar NM. 2016; Rapid ADAMTS13 availability impacts treatment for microangiopathic hemolytic anemia and thrombocytopenia. J Clin Apher. 31:419–22. DOI: 10.1002/jca.21419. PMID: 26332753.
Article
8. Bendapudi PK, Li A, Hamdan A, et al. 2014; Derivation and prospective validation of a predictive score for the rapid diagnosis of thrombotic thrombocytopenic purpura: the plasmic score. Blood (ASH Annual Meeting Abstracts). 124(Suppl):231. DOI: 10.1182/blood.V124.21.231.231.
Article
9. Bendapudi PK, Hurwitz S, Fry A, et al. 2017; Derivation and external validation of the PLASMIC score for rapid assessment of adults with thrombotic microangiopathies: a cohort study. Lancet Haematol. 4:e157–64. DOI: 10.1016/S2352-3026(17)30026-1. PMID: 28259520.
Article
10. Zhao N, Zhou L, Hu X, et al. 2020; A modified PLASMIC score including the lactate dehydrogenase/the upper limit of normal ratio more accurately identifies Chinese thrombotic thrombocytopenic purpura patients than the original PLASMIC score. J Clin Apher. 35:79–85. DOI: 10.1002/jca.21760. PMID: 31724781.
Article
11. Tang N, Wang X, Li D, Sun Z. 2018; Validation of the PLASMIC score, a clinical prediction tool for thrombotic thrombocytopenic purpura diagnosis, in Chinese patients. Thromb Res. 172:9–13. DOI: 10.1016/j.thromres.2018.10.010. PMID: 30340093.
Article
12. Benhamou Y, Assié C, Boelle PY, et al. 2012; Development and validation of a predictive model for death in acquired severe ADAMTS13 deficiency-associated idiopathic thrombotic thrombo-cytopenic purpura: the French TMA Reference Center experience. Haematologica. 97:1181–6. DOI: 10.3324/haematol.2011.049676. PMID: 22580997. PMCID: PMC3409815.
Article
13. Li A, Khalighi PR, Wu Q, Garcia DA. 2018; External validation of the PLASMIC score: a clinical prediction tool for thrombotic thrombocytopenic purpura diagnosis and treatment. J Thromb Haemost. 16:164–9. DOI: 10.1111/jth.13882. PMID: 29064619. PMCID: PMC5760324.
Article
14. Yap YY, Sathar J, Law KB, et al. 2018; Clinical characteristics and outcomes of thrombotic microangiopathy in Malaysia. Blood Res. 53:130–7. DOI: 10.5045/br.2018.53.2.130. PMID: 29963519. PMCID: PMC6021566.
Article
15. Paydary K, Banwell E, Tong J, Chen Y, Cuker A. 2020; Diagnostic accuracy of the PLASMIC score in patients with suspected thrombotic thrombocytopenic purpura: a systematic review and meta-analysis. Transfusion. 60:2047–57. DOI: 10.1111/trf.15954. PMID: 32757237.
16. Liu A, Dhaliwal N, Upreti H, et al. 2021; Reduced sensitivity of PLASMIC and French scores for the diagnosis of thrombotic thrombocytopenic purpura in older individuals. Transfusion. 61:266–73. DOI: 10.1111/trf.16188. PMID: 33179792. PMCID: PMC8859842.
Article
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