4.3 Article

Development of a nomogram for predicting nasogastric tube-associated pressure injuries in intensive care unit patients

期刊

JOURNAL OF TISSUE VIABILITY
卷 30, 期 3, 页码 324-330

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jtv.2021.06.008

关键词

Nomogram; Prevention; Risk factor; Nasogastric tube-associated pressure injuries

资金

  1. Health Industry Research Project of Gansu Province of China [GSWSKY-2019-103]
  2. Lanzhou Science and Technology Plan Project [2019SHFZ0019]
  3. Longyuan Youth Innovation and Entrepreneurship Team Project [201,807]

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This study aimed to build a nomogram model to estimate the probability of nasogastric tube-associated pressure injuries in ICU patients. The resulting nomogram demonstrated good discrimination and calibration in internal validation, indicating its accuracy in predicting risk factors for NTAPIs.
Here, we aimed to build a nomogram model to estimate the probability of nasogastric tube-associated pressure injuries (NTAPIs) in intensive care unit(ICU)patients. This prospective cohort study included 219ICU patients with nasogastric tube between September 2019 and January 2020.Univariate and multivariate logistic regression analyses were used to develop the nomogram model. The resulting nomogram was tested for calibration, discrimination, and clinical usefulness. Of the included patients, 58 developed NTAPIs, representing an incidence rate of 26.5%. Binary logistic regression analysis revealed that the prediction nomogram included C-reactive protein, vasopressor use, albumin level, nasogastric tube duration, and Sequential Organ Failure Assessment score. The value of these predictors was again confirmed using theLasso regression analysis. Internal validation presented a good discrimination of the nomogram, with an area under the curve value of 0.850, and good calibration (Hosmer-Lemeshow test, P = 0.177). The decision curve analysis also demonstrated preferable net benefit along with the threshold probability in the prediction nomogram. The nomogram model can accurately predict the risk factors for NTAPIs, to formulate intervention strategies as early as possible to reduce NTAPI incidence.

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