Background And Aim: Injury severity scores are important in the context of developing European and national goals on traffic safety, health-care benchmarking and improving patient communication. Various severity scores are available and are mostly based on Abbreviated Injury Scale (AIS) or International Classification of Diseases (ICD). The aim of this paper is to compare the predictive value for in-hospital mortality between the various severity scores if only International Classification of Diseases, 9th revision, Clinical Modification ICD-9-CM is reported.
Methodology: To estimate severity scores based on the AIS lexicon, ICD-9-CM codes were converted with ICD Programmes for Injury Categorization (ICDPIC) and four AIS-based severity scores were derived: Maximum AIS (MaxAIS), Injury Severity Score (ISS), New Injury Severity Score (NISS) and Exponential Injury Severity Score (EISS). Based on ICD-9-CM, six severity scores were calculated. Determined by the number of injuries taken into account and the means by which survival risk ratios (SRRs) were calculated, four different approaches were used to calculate the ICD-9-based Injury Severity Scores (ICISS). The Trauma Mortality Prediction Model (TMPM) was calculated with the ICD-9-CM-based model averaged regression coefficients (MARC) for both the single worst injury and multiple injuries. Severity scores were compared via model discrimination and calibration. Model comparisons were performed separately for the severity scores based on the single worst injury and multiple injuries.
Results: For ICD-9-based scales, estimation of area under the receiver operating characteristic curve (AUROC) ranges between 0.94 and 0.96, while AIS-based scales range between 0.72 and 0.76, respectively. The intercept in the calibration plots is not significantly different from 0 for MaxAIS, ICISS and TMPM.
Discussion: When only ICD-9-CM codes are reported, ICD-9-CM-based severity scores perform better than severity scores based on the conversion to AIS.
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http://dx.doi.org/10.1016/j.injury.2015.08.025 | DOI Listing |
J Neuropsychol
January 2025
Department of Health, Medical and Neuropsychology, Leiden University, Leiden, The Netherlands.
Up to 45% of patients with Parkinson's disease (PD) experience impulse control disorders (ICDs), characterized by a loss of voluntary control over impulses, drives or temptations. This study aimed to investigate whether previously identified genetic and psychiatric risk factors interact towards the development of ICDs in PD. A total of 278 de novo PD patients (ICD-free at enrollment) were selected from the Parkinson's Progression Markers Initiative database.
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Department of Thoracic Medicine, Chang Gung Memorial Hospital, Linkou Branch, No. 5, Fu-Shing St., GuiShan, Taoyuan, Taiwan.
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BMC Public Health
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Center for Basic Medical Research, International University of Health and Welfare, 2600-1 Kitakanemaru, Ohtawara-City, Tochigi, 324-8501, Japan.
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Department of Obstetrics, the Affiliated Hospital of Qingdao University, Qingdao, China.
Background: Currently, most studies only focus on the glucose management level and self- management behavior of pregnant women with gestational diabetes mellitus, but lack analysis and discussion on their decision-making behavior and influencing factors during glucose management.
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Methods: This was a prospective study.
BMC Public Health
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Family and Community Medicine Department, College of Medicine, King Khalid University, Abha, Saudi Arabia.
Background: University students are more likely to experience mental disorders. This study aimed to assess the prevalence of depression, anxiety, and stress among health and non-health university students at King Khalid University students, Abha, Kingdom of Saudi Arabia.
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