Development and validation of a nomogram for predicting the risk of pressure injury in adult patients undergoing abdominal surgery

Xue, Fu‐Shan; Wang, Meng; Zhang, Ya; Liu, Qian; Guo, Minjie; Liang, Hongyin

doi:10.1016/j.ijnss.2022.09.010

Cited by 1 publication

(1 citation statement)

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“…Far more sophisticated methods and larger amounts of data than previously can now be leveraged, resulting in more accurate and precise predictive models than ever before. 30 In this study, we developed a nomogram model to predict SRPU in patients undergoing cardiovascular surgery. A nomogram, also known as an abacus or alignment chart, is a two-dimensional diagram used to roughly calculate a function.…”

Section: Discussionmentioning

confidence: 99%

A nomogram to predict the risk of surgery-related pressure ulcers in patients undergoing cardiovascular surgery

Wei,

Xu,

Chen

2024

J Int Med Res

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Objective In this study, we aimed to establish a new nomogram score to predict the occurrence of surgery-related pressure ulcers (SRPU) in patients undergoing cardiovascular surgery. Methods We conducted a retrospective study among patients who underwent cardiovascular surgery between February 2016 and November 2020. Results We established a prediction model based on a logistic regression model and tested the calibration and discrimination. We included 1163 patients who had undergone cardiovascular surgery. We formulated the logistic regression model, with Logit(P) = −11.745 + 0.024 preoperative hemoglobin value + 0.118 serum sodium value − 0.014 prealbumin value − 0.213 intraoperative mean temperature − 0.058 minimum mean arterial pressure + 0.646 preoperative blood potassium value + 0.264 smoking frequency + 0.760 hypertension history + 0.536 age ≥70 years. In this model ,“+” indicates that the factor is positively related to the occurrence risk of SRPU and “−” indicates that the factor is negatively associated with SRPU risk. The predictive model and nomogram had good accuracy in estimating the risk of SRPU, with a C-index of 0.755 (95% confidence interval: 0.719–0.792). Conclusions The present model can be used to effectively screen patients with a high risk of SRPU to devise targeted nursing intervention strategies and ultimately reduce the incidence rate of SRPU.

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Section: Discussionmentioning

confidence: 99%