• Pak J Med Sci · Nov 2023

    A prediction model of risk factors of poor wound healing after craniocerebral surgery.

    • Chunlian Zhong, Wei Lu, Wenzhong Xie, and Wei Jiao.
    • Chunlian Zhong, Department of Neurosurgery, The 904th Hospital of the Joint Logistics Support Force of the PLA, Wuxi 214000, Jiangsu Province, P.R. China.
    • Pak J Med Sci. 2023 Nov 1; 39 (6): 183518391835-1839.

    ObjectiveTo explore the independent risk factors of poor wound healing after craniocerebral surgery, and to generate a risk prediction model.MethodsA single-center retrospective observational analysis of 160 patients who underwent craniocerebral surgery in The 904th Hospital of the Joint Logistics Support Force of the PLA from February 2018 to February 2021 was carried out. Patients were divided into Group-A (n=70) and Group-B (n=90) according to postoperative wound healing outcome. Logistic regression was used to analyze the independent risk factors, and a nomogram prediction model was constructed using R software. The receiver operating characteristic (ROC) curve was used to test the predictive ability of the model, and the fitting effect was verified by Hosmer Lemeshow.ResultsThe duration of operation, surgical site infection, diabetes mellitus, and the time of intubation in Group-B were significantly lower than Group-A (P<0.05). Serum albumin (ALB) and hemoglobin (HGB) in Group-B were significantly higher than those in Group-A (P<0.05). Logistic regression analysis showed that long operation duration, surgical site infection, duration of drainage tube, ALB <35g/L, and abnormal HGB were independent risk factors for poor wound healing (P<0.05). The area under the ROC curve (AUC) predicted by the model was 0.932, 95%CI (0.862~1.000). The Hosmer-Lemeshow goodness of fit test showed that the expected probability calculated by the model matched the actual probability (P>0.05).ConclusionsLong operation duration, surgical site infection, duration of drainage tube, ALB <35g/L, and abnormal HGB were risk factors for poor wound healing. The nomograph model based on these factors showed good discrimination, calibration, and clinical effectiveness in predicting poor wound healing.Copyright: © Pakistan Journal of Medical Sciences.

      Pubmed     Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…