Pavan K Bendapudi1, Shelley Hurwitz2, Ashley Fry3, Marisa B Marques4, Stephen W Waldo5, Ang Li6, Lova Sun6, Vivek Upadhyay6, Ayad Hamdan7, Andrew M Brunner8, John M Gansner9, Srinivas Viswanathan8, Richard M Kaufman10, Lynne Uhl11, Christopher P Stowell12, Walter H Dzik13, Robert S Makar12. 1. Division of Hematology, Massachusetts General Hospital, Boston, MA, USA; Blood Transfusion Service, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: pkbendapudi@partners.org. 2. Center for Clinical Investigation, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. 3. Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL, USA. 4. Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA. 5. Department of Medicine, Veterans Affairs Eastern Colorado Health Care System, Denver, CO, USA. 6. Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. 7. Division of Hematology and Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. 8. Division of Hematology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. 9. Division of Hematology, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. 10. Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. 11. Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. 12. Blood Transfusion Service, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. 13. Division of Hematology, Massachusetts General Hospital, Boston, MA, USA; Blood Transfusion Service, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Abstract
BACKGROUND: Among the syndromes characterised by thrombotic microangiopathy, thrombotic thrombocytopenic purpura is distinguished by a severe deficiency in the ADAMTS13 enzyme. Patients with this disorder need urgent treatment with plasma exchange. Because ADAMTS13 activity testing typically requires prolonged turnaround times and might be unavailable in resource-poor settings, a method to rapidly assess the likelihood of severe ADAMTS13 deficiency is needed. METHODS: All consecutive adult patients presenting to three large academic medical centres in Boston, MA, USA, with thrombotic microangiopathy and a possible diagnosis of thrombotic thrombocytopenic purpura between Jan 8, 2004, and Dec 6, 2015, were included in an ongoing multi-institutional registry (the Harvard TMA Research Collaborative). Univariate analysis was used to identify covariates for a logistic regression model predictive of severe ADAMTS13 deficiency (≤10% activity). A clinical point score was generated, and its diagnostic performance was assessed using internal and external validation cohorts and compared to clinical assessment alone. FINDINGS: 214 patients with thrombotic microangiopathy were included in the derivation cohort. A seven-component clinical prediction tool, termed the PLASMIC score, was developed and found to reliably assess the pretest probability of severe ADAMTS13 deficiency (C statistic 0·96, 95% CI 0·92-0·98). Our diagnostic model was reproducibly accurate in both the internal (0·95, 0·91-0·98) and external (0·91, 0·85-0·95) validation cohorts. The scoring system also more consistently diagnosed thrombotic microangiopathy due to severe ADAMTS13 deficiency than did standard clinical assessment, as measured by C statistic (0·96, 95% CI 0·92-0·98 for PLASMIC vs 0·83, 0·77-0·88 for clinical assessment; p<0·0001) and mean Brier score (0·065 for PLASMIC vs 0·111 for clinical assessment; mean paired difference 0·05, 95% CI 0·01-0·08; p<0·0001). When utilised in addition to clinical assessment, the PLASMIC score contributed significant discriminatory power (integrated discrimination improvement 0·24, 95% CI 0·11-0·37). INTERPRETATION: We have developed and validated a clinical prediction tool-the PLASMIC score-to stratify patients with thrombotic microangiopathy according to their risk of having severe ADAMTS13 deficiency. We have shown that this scoring system is superior to standard clinical assessment in addressing the diagnostic challenge presented by thrombotic microangiopathy. Its use, together with clinical judgment, may facilitate treatment decisions in patients for whom timely results of ADAMTS13 activity testing are unavailable. FUNDING: The Luick Family Fund of Massachusetts General Hospital.
BACKGROUND: Among the syndromes characterised by thrombotic microangiopathy, thrombotic thrombocytopenic purpura is distinguished by a severe deficiency in the ADAMTS13 enzyme. Patients with this disorder need urgent treatment with plasma exchange. Because ADAMTS13 activity testing typically requires prolonged turnaround times and might be unavailable in resource-poor settings, a method to rapidly assess the likelihood of severe ADAMTS13 deficiency is needed. METHODS: All consecutive adult patients presenting to three large academic medical centres in Boston, MA, USA, with thrombotic microangiopathy and a possible diagnosis of thrombotic thrombocytopenic purpura between Jan 8, 2004, and Dec 6, 2015, were included in an ongoing multi-institutional registry (the Harvard TMA Research Collaborative). Univariate analysis was used to identify covariates for a logistic regression model predictive of severe ADAMTS13 deficiency (≤10% activity). A clinical point score was generated, and its diagnostic performance was assessed using internal and external validation cohorts and compared to clinical assessment alone. FINDINGS: 214 patients with thrombotic microangiopathy were included in the derivation cohort. A seven-component clinical prediction tool, termed the PLASMIC score, was developed and found to reliably assess the pretest probability of severe ADAMTS13 deficiency (C statistic 0·96, 95% CI 0·92-0·98). Our diagnostic model was reproducibly accurate in both the internal (0·95, 0·91-0·98) and external (0·91, 0·85-0·95) validation cohorts. The scoring system also more consistently diagnosed thrombotic microangiopathy due to severe ADAMTS13 deficiency than did standard clinical assessment, as measured by C statistic (0·96, 95% CI 0·92-0·98 for PLASMIC vs 0·83, 0·77-0·88 for clinical assessment; p<0·0001) and mean Brier score (0·065 for PLASMIC vs 0·111 for clinical assessment; mean paired difference 0·05, 95% CI 0·01-0·08; p<0·0001). When utilised in addition to clinical assessment, the PLASMIC score contributed significant discriminatory power (integrated discrimination improvement 0·24, 95% CI 0·11-0·37). INTERPRETATION: We have developed and validated a clinical prediction tool-the PLASMIC score-to stratify patients with thrombotic microangiopathy according to their risk of having severe ADAMTS13 deficiency. We have shown that this scoring system is superior to standard clinical assessment in addressing the diagnostic challenge presented by thrombotic microangiopathy. Its use, together with clinical judgment, may facilitate treatment decisions in patients for whom timely results of ADAMTS13 activity testing are unavailable. FUNDING: The Luick Family Fund of Massachusetts General Hospital.
Authors: Rasha A El-Gamal; Mohamed A Mekawy; Ayman M Abd Elkader; Haitham M Abdelbary; Mary Z Fayek Journal: Indian J Hematol Blood Transfus Date: 2019-10-05 Impact factor: 0.900
Authors: Elie Azoulay; Philippe R Bauer; Eric Mariotte; Lene Russell; Paul Knoebl; Ignacio Martin-Loeches; Frédéric Pène; Kathryn Puxty; Pedro Povoa; Andreas Barratt-Due; Jose Garnacho-Montero; Julia Wendon; Laveena Munshi; Dominique Benoit; Michael von Bergwelt-Baildon; Marco Maggiorini; Paul Coppo; Spero Cataland; Agnès Veyradier; Andry Van de Louw Journal: Intensive Care Med Date: 2019-10-07 Impact factor: 17.440