Validation of the International Classification of Diseases 10th Edition???based Injury Severity Score (ICISS)

Kim, Yoon; Jung, Koo Young; Kim, Choon Yul; Kim, Yong Ik; Shin, Yang Sik

doi:10.1097/00005373-200002000-00014

Cited by 42 publications

(28 citation statements)

References 9 publications

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“…These findings are in keeping with previous research: Sampalis et al demonstrated a higher mortality rate among older fallers, while both Spaniolas' and Sterling' groups showed that ground level falls in older people were associated with more severe injuries and higher mortality (1,3,7). The generally low incidence of severe injuries in our study may be because we mapped ICD&10 codes to the lowest possible relevant AIS scores, thus underestimating injury severity (12). The injury patterns in our study did not conform to those found in other studies of older trauma patients.…”

Section: Discussionsupporting

confidence: 92%

Are older fallers different? Comparing older fallers and non-fallers in a developing country

Yogi

Sammy

Paul

et al. 2017

Trauma

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Abstract:Objectives Falls are common in older people, causing significant mortality and morbidity but little is known about this phenomenon in developing countries. This study aimed to investigate falls in older people in the developing world, comparing fallers with other trauma patients. Methods We conducted a prospective observational study of older trauma patients in Trinidad over a 4 month period, comparing falls victims with other trauma patients, in relation to their demographic, pre morbid and injury characteristics. Results 439 older trauma patients (aged ≥65 years) were included. Fallers were older (median age 75 years vs 70 years in non fallers). 65.2% of fallers were female, compared to 43.7% of non fallers. Fallers were more likely to suffer from multiple pre existing diseases, with 29.8% having ≥ 3 comordibities, compared to 9.7% of non fallers. Fallers were also more likely to be on multiple medications: 7.1% were on 5 medications, compared to no non fallers. Fallers also sustained more severe injuries and presented with higher acuity than non fallers. Admission and referral rates were higher among fallers compared to other trauma patients (59.9% vs 30.4%). Conclusions Older patients who fall are a distinct group from other older trauma patients, with unique demographic, clinical and injury related characteristics. This information is useful in planning preventive and management strategies for these patients. Abstract ObjectivesFalls are common in older people, causing significant mortality and morbidity but little is known about this phenomenon in developing countries. This study aimed to investigate falls in older people in the developing world, comparing fallers with other trauma patients. MethodsWe conducted a prospective observational study of older trauma patients in Trinidad over a 4 month period, comparing falls victims with other trauma patients, in relation to their demographic, pre&morbid and injury characteristics. of fallers were female, compared to 43.7% of non&fallers. Fallers were more likely to suffer from multiple pre&existing diseases, with 29.8% having ≥ 3 comordibities, compared to 9.7% of non&fallers. Fallers were also more likely to be on multiple medications: 7.1% were on 5 medications, compared to no non&fallers. Fallers also sustained more severe injuries and presented with higher acuity than non&fallers.Admission and referral rates were higher among fallers compared to other trauma patients (59.9% vs 30.4%).

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Section: Discussionsupporting

confidence: 92%

Are older fallers different? Comparing older fallers and non-fallers in a developing country

Yogi

Sammy

Paul

et al. 2017

Trauma

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“…Operative procedures are also coded. Although initially based on the International Classification of Disease 9th edition (ICD-9), ICISS has also been validated for ICD-10 codes [29]. The calculation of survival risk ratios (SRRs) is central to this method (the proportion of survivors for each ICD-9 injury code).…”

Section: The Rationale For Trauma Scoringmentioning

confidence: 99%

The role of trauma scoring in developing trauma clinical governance in the Defence Medical Services

Rußell

Hodgetts

McLeod

et al. 2011

Phil. Trans. R. Soc. B

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This paper discusses mathematical models of expressing severity of injury and probability of survival following trauma and their use in establishing clinical governance of a trauma system. There are five sections: (i) Historical overview of scoring systems-anatomical, physiological and combined systems and the advantages and disadvantages of each. (ii) Definitions used in official statistics-definitions of 'killed in action' and other categories and the importance of casualty reporting rates and comparison across conflicts and nationalities. (iii) Current scoring systems and clinical governance-clinical governance of the trauma system in the Defence Medical Services (DMS) by using trauma scoring models to analyse injury and clinical patterns. (iv) Unexpected outcomes-unexpected outcomes focus clinical governance tools. Unexpected survivors signify good practice to be promulgated. Unexpected deaths pick up areas of weakness to be addressed. Seventy-five clinically validated unexpected survivors were identified over 2 years during contemporary combat operations. (v) Future developments-can the trauma scoring methods be improved? Trauma scoring systems use linear approaches and have significant weaknesses. Trauma and its treatment is a complex system. Nonlinear methods need to be investigated to determine whether these will produce a better approach to the analysis of the survival from major trauma.

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“…However, the sample size used in this study was very small. 15 Data available in Australia and New Zealand provided a particularly good basis for testing the ICISS method in the context of ICD-10-AM coding. Mapping of the Australian and New Zealand data from ICD-10-AM to ICD-10 also allowed assessment of the applicability of ICISS to ICD-10.…”

mentioning

confidence: 99%

Diagnosis based injury severity scaling: investigation of a method using Australian and New Zealand hospitalisations

Stephenson

Henley²,

Harrison³

et al. 2004

Inj Prev

102

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(New Zealand). Interventions: None. Main outcome measures: The models were assessed in terms of their discrimination, measured by the concordance score, and calibration, measured using calibration curves and the Hosmer-Lemeshow statistic. Results: 523 633 Australian and 124 767 New Zealand hospitalisations were selected, including 7230 and 1565 deaths respectively. Discrimination was high in all the fitted models with concordance scores of 0.885 to 0.910. Calibration results were also promising with all calibration curves being close to linear, though ICISS appeared to underestimate mortality somewhat for cases with an ICISS score less than 0.6. Overall ICISS performed better when applied to the Australian than the New Zealand hospitalisations. Australian and New Zealand hospitalisations were very similar. ICISS was also only a little more successful when ICD-10-AM rather than mapped ICD-10 was used.Conclusions: ICISS appears to be a reasonable way to estimate severity for databases using ICD-10 or ICD-10-AM. It is also likely to work well for other clinical variants of ICD-10.

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Validation of the International Classification of Diseases 10th Edition???based Injury Severity Score (ICISS)

Cited by 42 publications

References 9 publications

Are older fallers different? Comparing older fallers and non-fallers in a developing country

Are older fallers different? Comparing older fallers and non-fallers in a developing country

The role of trauma scoring in developing trauma clinical governance in the Defence Medical Services

Diagnosis based injury severity scaling: investigation of a method using Australian and New Zealand hospitalisations

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