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155 related items for PubMed ID: 34176736

  • 1. Development of a nomogram for predicting nasogastric tube-associated pressure injuries in intensive care unit patients.
    Zhang YB, Gou L, Pei JH, Nan RL, Shen XP, Ge L, Chen HX, Wang XL, Dou XM, He L.
    J Tissue Viability; 2021 Aug; 30(3):324-330. PubMed ID: 34176736
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  • 2. Nomogram model on estimating the risk of pressure injuries for hospitalized patients in the intensive care unit.
    Han L, Wei Y, Pei J, Zhang H, Lv L, Tao H, Yang Q, Su Q, Ma Y.
    Intensive Crit Care Nurs; 2024 Feb; 80():103566. PubMed ID: 37913713
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  • 8. Development and validation of a nomogram predicting the probability of type a aortic dissection at a diameter below 55 mm: A retrospective cohort study.
    Wu J, Qiu J, Jiang W, Qiu J, Zhang L, Zhao R, Yu C.
    Int J Surg; 2018 Dec; 60():266-272. PubMed ID: 30496867
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  • 16. Development of a risk prediction nomogram for disposition of acute toxic exposure patients to intensive care unit.
    Elgazzar FM, Afifi AM, Shama MAE, Askary AE, El-Sarnagawy GN.
    Basic Clin Pharmacol Toxicol; 2021 Sep; 129(3):256-267. PubMed ID: 34117718
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  • 17. An interactive nomogram to predict healthcare-associated infections in ICU patients: A multicenter study in GuiZhou Province, China.
    Zhang M, Yang H, Mou X, Wang L, He M, Zhang Q, Wu K, Cheng J, Wu W, Li D, Xu Y, Chao J.
    PLoS One; 2019 Sep; 14(7):e0219456. PubMed ID: 31306445
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  • 19. A dynamic online nomogram predicting severe vitamin D deficiency at ICU admission.
    Bou Kheir G, Khaldi A, Karam A, Duquenne L, Preiser JC.
    Clin Nutr; 2021 Oct; 40(10):5383-5390. PubMed ID: 34562689
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