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      A clinical rule for the difficulty prediction on scalp intravenous access in infants (SIAI) from emergency room

      research-article
      1 , 2 , 3 , 4 ,
      Scientific Reports
      Nature Publishing Group UK
      Health care, Medical research, Risk factors

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          Abstract

          Infant intravenous access poses a significant challenge to the operator. Scalp vein is the ideal location for emergency medical staff to perform intravenous access for administration of fluids or medications. To tackle this challenge, we developed a clinical rule for the difficulty prediction on scalp intravenous access in infants (SIAI) conducting a prospective cohort study in a pediatric emergency room. A total of 658 infant patients who underwent SVI from January 2017 to September 2018 were recruited in this study. The failure rate of SIAI on the first attempt was 20.2%. Five variables, including dehydration condition, obesity, vein invisibility, vein impalpability and hyperactive status of infant, were independently and statistically associated with failure rate of SIAI. Furthermore, we indicated that any one alone of the above five variables did not significantly lead to greater than 50% failure rate of indwelling needle SIAI ( p > 0.05). However, summary effects of more than one of these five variables were statistically significant associated with greater than 50% failure rate of SIAI ( p < 0.05). When employing the five-variable model, validation cohort subjects displayed dehydration, obesity, vein invisibility, vein impalpability and hyperactive status had a 67.5% likelihood of failed first attempt on SIAI (C = 0.675; 95% CI: 0.622–0.727; p < 0.001). For the first time, we developed the difficult model for SIAI. We found that dehydration, obesity, vein invisibility, vein impalpability and hyperactive status of the infant patients are the independent and significant predictors associated with SIAI failure. Our predicted model indicates that infant patients with combination of more than one of the five variables contribute to greater than 50% failure rate of indwelling needle in SIAI.

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          Most cited references12

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          Complications of Central Venous Access Devices: A Systematic Review.

          The failure and complications of central venous access devices (CVADs) result in interrupted medical treatment, morbidity, and mortality for the patient. The resulting insertion of a new CVAD further contributes to risk and consumes extra resources.
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            Derivation of the DIVA score: a clinical prediction rule for the identification of children with difficult intravenous access.

            To develop a clinical prediction rule that would be easy to apply and be useful for predicting success or failure of peripheral intravenous line insertion in children. This was a prospective cohort study of children aged 0 to 21 years undergoing peripheral intravenous placement by staff nurses in a pediatric emergency department. Information on candidate predictor variables was obtained before attempting intravenous placement, and the outcome was successful on first attempt. Backward stepwise logistic regression was used to identify factors independently predictive of success. Those factors remaining in the model were used in a set of linear scores. Receiver operating characteristic curves were constructed for each model, and the areas under the curve were calculated. Six hundred fifteen subjects were enrolled. Success rate for intravenous insertion on first attempt was 75%. A 4-variable proportionally weighted rule (known as the difficult intravenous access [DIVA] score) was created (3 points for prematurity, 3 for younger than 1 year, 1 for 1-2 years of age, 2 for vein not palpable, and 2 for vein not visible). The area under the receiver operating characteristic curve was 0.67. Subjects with a DIVA score of 4 or more were more than 50% likely to have failed intravenous placement on first attempt. A clinical prediction rule that is easy to apply and is useful for predicting success or failure of peripheral intravenous insertion has been created. If externally validated, this DIVA score can be used to predict which children will have difficult intravenous access.
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              On the use of partial area under the ROC curve for comparison of two diagnostic tests.

              Evaluation of diagnostic performance is typically based on the receiver operating characteristic (ROC) curve and the area under the curve (AUC) as its summary index. The partial area under the curve (pAUC) is an alternative index focusing on the range of practical/clinical relevance. One of the problems preventing more frequent use of the pAUC is the perceived loss of efficiency in cases of noncrossing ROC curves. In this paper, we investigated statistical properties of comparisons of two correlated pAUCs. We demonstrated that outside of the classic model there are practically reasonable ROC types for which comparisons of noncrossing concave curves would be more powerful when based on a part of the curve rather than the entire curve. We argue that this phenomenon stems in part from the exclusion of noninformative parts of the ROC curves that resemble straight-lines. We conducted extensive simulation studies in families of binormal, straight-line, and bigamma ROC curves. We demonstrated that comparison of pAUCs is statistically more powerful than comparison of full AUCs when ROC curves are close to a "straight line". For less flat binormal ROC curves an increase in the integration range often leads to a disproportional increase in pAUCs' difference, thereby contributing to an increase in statistical power. Thus, efficiency of differences in pAUCs of noncrossing ROC curves depends on the shape of the curves, and for families of ROC curves that are nearly straight-line shaped, such as bigamma ROC curves, there are multiple practical scenarios in which comparisons of pAUCs are preferable.
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                Author and article information

                Contributors
                linxt3@mail2.sysu.edu.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                20 April 2020
                20 April 2020
                2020
                : 10
                : 6624
                Affiliations
                [1 ]ISNI 0000 0004 1790 1622, GRID grid.411504.5, Department of Emergency, , Fujian Provincial 2nd People’s Hospital, Affiliated Hospital of Fujian University of Traditional Chinese Medicine, ; Fuzhou, China
                [2 ]ISNI 0000 0001 2360 039X, GRID grid.12981.33, Department of Physiology, , Zhongshan Medical School, Sun Yat-sen University, ; Guangzhou, China
                [3 ]ISNI 0000 0004 1797 9307, GRID grid.256112.3, Department of Breast, , Fujian Provincial Maternity and Children’s Hospital of Fujian Medical University, ; Fuzhou, China
                [4 ]Department of Breast Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
                Article
                63771
                10.1038/s41598-020-63771-5
                7170871
                32313154
                2086b003-538e-41b1-a511-65eb231cca3a
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 December 2019
                : 31 March 2020
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                © The Author(s) 2020

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                health care,medical research,risk factors
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                health care, medical research, risk factors

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