190
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Development and Validation Nomogram for Predicting the Survival of Patients with Thrombocytopenia in Intensive Care Units

, , &
Pages 1287-1295 | Received 17 Apr 2023, Accepted 29 Jun 2023, Published online: 17 Jul 2023

References

  • Birocchi S, Podda GM, Manzoni M, Casazza G, Cattaneo M. Thrombopoietin receptor agonists for the treatment of primary immune thrombocytopenia: a meta-analysis and systematic review. Platelets. 2021;32(2):216–226. doi:10.1080/09537104.2020.1745168
  • Arnold DM, Lim W. A rational approach to the diagnosis and management of thrombocytopenia in the hospitalized patient. Semin Hematol. 2011;48(4):251–258. doi:10.1053/j.seminhematol.2011.08.002
  • Zhang S, Cui YL, Diao MY, Chen DC, Lin ZF. Use of platelet indices for determining illness severity and predicting prognosis in critically ill patients. Chin Med J. 2015;128(15):2012–2018. doi:10.4103/0366-6999.161346
  • Dewitte A, Lepreux S, Villeneuve J, et al. Blood platelets and sepsis pathophysiology: a new therapeutic prospect in critically [corrected] ill patients? Ann Intensive Care. 2017;7(1):115. doi:10.1186/s13613-017-0337-7
  • Flora GD, Nayak MK. A brief review of cardiovascular diseases, associated risk factors and current treatment regimes. Curr Pharm Des. 2019;25(38):4063–4084. doi:10.2174/1381612825666190925163827
  • Washington AV, Esponda O, Gibson A. Platelet biology of the rapidly failing lung. Br J Haematol. 2020;188(5):641–651. doi:10.1111/bjh.16315
  • Cornelius DC, Baik CH, Travis OK, et al. NLRP3 inflammasome activation in platelets in response to sepsis. Physiol Rep. 2019;7(9):e14073. doi:10.14814/phy2.14073
  • Martini C, Thompson EJ, Hyslop SR, et al. Platelets disrupt vasculogenic mimicry by cancer cells. Sci Rep. 2020;10(1):5869. doi:10.1038/s41598-020-62648-x
  • Thachil J, Warkentin TE. How do we approach thrombocytopenia in critically ill patients? Br J Haematol. 2017;177(1):27–38. doi:10.1111/bjh.14482
  • Jonsson AB, Rygård SL, Hildebrandt T, Perner A, Møller MH, Russell L. Thrombocytopenia in intensive care unit patients: a scoping review. Acta Anaesthesiol Scand. 2021;65(1):2–14. doi:10.1111/aas.13699
  • Williamson DR, Lesur O, Tétrault JP, Nault V, Pilon D. Thrombocytopenia in the critically ill: prevalence, incidence, risk factors, and clinical outcomes. Can J Anaesthes. 2013;60(7):641–651. doi:10.1007/s12630-013-9933-7
  • Lauzier F, Arnold DM, Rabbat C, et al. Risk factors and impact of major bleeding in critically ill patients receiving heparin thromboprophylaxis. Intensive Care Med. 2013;39(12):2135–2143. doi:10.1007/s00134-013-3044-3
  • Strauss R, Wehler M, Mehler K, Kreutzer D, Koebnick C, Hahn EG. Thrombocytopenia in patients in the medical intensive care unit: bleeding prevalence, transfusion requirements, and outcome. Crit Care Med. 2002;30(8):1765–1771. doi:10.1097/00003246-200208000-00015
  • Harada MY, Hoang DM, Zaw AA, et al. Overtreatment of heparin-induced thrombocytopenia in the surgical ICU. Crit Care Med. 2017;45(1):28–34. doi:10.1097/CCM.0000000000002002
  • Shi Y, Zhao J, Jiang H, et al. Thrombocytopenia in primary antiphospholipid syndrome: association with prognosis and clinical implications. Rheumatology. 2022;62(1):256–263. doi:10.1093/rheumatology/keac264
  • Shalansky SJ, Verma AK, Levine M, Spinelli JJ, Dodek PM. Risk markers for thrombocytopenia in critically ill patients: a prospective analysis. Pharmacotherapy. 2002;22(7):803–813. doi:10.1592/phco.22.11.803.33634
  • De Blasi RA, Cardelli P, Costante A, Sandri M, Mercieri M, Arcioni R. Immature platelet fraction in predicting sepsis in critically ill patients. Intensive Care Med. 2013;39(4):636–643. doi:10.1007/s00134-012-2725-7
  • Vanderschueren S, De Weerdt A, Malbrain M, et al. Thrombocytopenia and prognosis in intensive care. Crit Care Med. 2000;28(6):1871–1876. doi:10.1097/00003246-200006000-00031
  • Sauerbrei W, Royston P, Binder H. Selection of important variables and determination of functional form for continuous predictors in multivariable model building. Stat Med. 2007;26(30):5512–5528. doi:10.1002/sim.3148
  • Chu R, Chen W, Song G, et al. Predicting the risk of adverse events in pregnant women with congenital heart disease. J Am Heart Assoc. 2020;9(14):e016371. doi:10.1161/JAHA.120.016371
  • Van Calster B, Nieboer D, Vergouwe Y, De Cock B, Pencina MJ, Steyerberg EW. A calibration hierarchy for risk models was defined: from utopia to empirical data. J Clin Epidemiol. 2016;74:167–176. doi:10.1016/j.jclinepi.2015.12.005
  • Vickers AJ, Cronin AM, Elkin EB, Gonen M. Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers. BMC Med Inform Decis Mak. 2008;8:53. doi:10.1186/1472-6947-8-53
  • Sekeres MA, Taylor J. Diagnosis and treatment of myelodysplastic syndromes: a review. JAMA. 2022;328(9):872–880. doi:10.1001/jama.2022.14578
  • Danese E, Montagnana M, Favaloro EJ, Lippi G. Drug-induced thrombocytopenia: mechanisms and laboratory diagnostics. Semin Thromb Hemost. 2020;46(3):264–274. doi:10.1055/s-0039-1697930
  • Cawley MJ, Wittbrodt ET, Boyce EG, Skaar DJ. Potential risk factors associated with thrombocytopenia in a surgical intensive care unit. Pharmacotherapy. 1999;19(1):108–113. doi:10.1592/phco.19.1.108.30518
  • Nijsten MW, ten Duis HJ, Zijlstra JG, et al. Blunted rise in platelet count in critically ill patients is associated with worse outcome. Crit Care Med. 2000;28(12):3843–3846. doi:10.1097/00003246-200012000-00017
  • Vandijck DM, Blot SI, De Waele JJ, Hoste EA, Vandewoude KH, Decruyenaere JM. Thrombocytopenia and outcome in critically ill patients with bloodstream infection. Heart Lung. 2010;39(1):21–26. doi:10.1016/j.hrtlng.2009.07.005
  • Akca S, Haji-Michael P, de Mendonça A, Suter P, Levi M, Vincent JL. Time course of platelet counts in critically ill patients. Crit Care Med. 2002;30(4):753–756. doi:10.1097/00003246-200204000-00005
  • Moreau D, Timsit JF, Vesin A, et al. Platelet count decline: an early prognostic marker in critically ill patients with prolonged ICU stays. Chest. 2007;131(6):1735–1741. doi:10.1378/chest.06-2233
  • Zhang Z, Navarese EP, Zheng B, et al. Analytics with artificial intelligence to advance the treatment of acute respiratory distress syndrome. J Evid Based Med. 2020;13(4):301–312. doi:10.1111/jebm.12418
  • Xie F, Chakraborty B, Ong MEH, Goldstein BA, Liu N. AutoScore: a machine learning-based automatic clinical score generator and its application to mortality prediction using electronic health records. JMIR Med Inform. 2020;8(10):e21798. doi:10.2196/21798
  • Hui P, Cook DJ, Lim W, Fraser GA, Arnold DM. The frequency and clinical significance of thrombocytopenia complicating critical illness: a systematic review. Chest. 2011;139(2):271–278. doi:10.1378/chest.10-2243