Tissue-Based Stroke Definition Impacts Stroke Incidence but not Ethnic Differences.

OBJECTIVES: We explored how the new, tissue-based stroke definition impacted incidence estimates, including an ethnic comparison, in a population-based study. METHODS: Stroke patients, May, 2014-May, 2016 in Nueces County, Texas were ascertained and validated using source documentation. Overall, ethnic-specific and age-specific Poisson regression models were used to compare first-ever ischemic stroke and intracerebral hemorrhage (ICH) incidence between old and new stroke definitions, adjusting for age, ethnicity, sex, and National Institutes of Health Stroke Scale score. RESULTS: Among 1308 subjects, 1245 (95%) were defined as stroke by the old definition and 63 additional cases (5%) according to the new. There were 12 cases of parenchymal hematoma (PH1 or PH2) that were reclassified from ischemic stroke to ICH. Overall, incidence of ischemic stroke was slightly higher under the new compared to the old definition (RR 1.07; 95% CI 0.99-1.16); similarly higher in both Mexican Americans (RR 1.06; 95% CI 1.00-1.12) and Non Hispanic whites (RR 1.09, 95% CI 0.97-1.22), p(ethnic difference)=0.36. Overall, incidence of ICH was higher under the new definition compared to old definition (RR 1.16; 95% CI 1.05-1.29), similarly higher among both Mexican Americans (RR 1.14; 95% CI 1.06-1.23) and Non Hispanic whites (RR 1.20, 95% CI 1.03-1.39), p(ethnic difference)=0.25. CONCLUSION: Modest increases in ischemic stroke and ICH incidence occurred using the new compared with old stroke definition. There were no differences between Mexican Americans and non Hispanic whites. These estimates provide stroke burden estimates for public health planning.

SMASH-U classification: a tool for aetiology-oriented management of patients with acute haemorrhagic stroke.

Intracerebral haemorrhage (ICH) is responsible for disproportionately high morbidity and mortality rates. The most used ICH classification system is based on the anatomical site. We used SMASH-U, an aetiological based classification system for ICH by predefined criteria: structural vascular lesions (S), medication (M), amyloid angiopathy (A), systemic disease (S), hypertension (H), or undetermined (U). We aimed to correlate SMASH-U classification of our patients to the intra-hospital mortality rates. We performed a single centre retrospective study at the Santa Maria Della Misericordia Hospital, Perugia (Italy) including consecutive patients between January 2009 and July 2017 assigned with 431 ICD-9 (International Classification of Diseases-9). We classified the included patients using SMASH-U criteria, and we analysed the association between SMASH-U aetiology and ICH risk factors to the outcome defined as intra-hospital mortality, using multivariable logistic regression analysis. The higher intra-hospital mortality rate was detected in the systemic disease (36.1%), medication (31.5%), and undetermined (29.4%) groups. At multivariable analysis, medication and systemic disease groups resulted associated with the outcome (odds ratio 3.47; 95% CI 1.15-10.46; P = 0.02 and 3.64; 95% CI 1.47-9.01; P = 0.005, respectively). Furthermore, age and high NIHSS at admission resulted significantly associated with intra-hospital mortality (odds ratio 1.01; 95% CI 1-1.03; P = 0.04 and 1.12; 95% CI 1.03-1.22; P = 0.008, respectively). In our retrospective study, the aetiology-oriented classification system SMASH-U showed to be potentially predictive of intra-hospital mortality of acute haemorrhagic stroke patients and it may support clinicians in the acute ICH management.

Factors Associated with Stroke Coding Quality: A Comparison of Registry and Administrative Data.

BACKGROUND: The International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Australian Modification (ICD-10-AM) codes are commonly used to identify patients with diseases or clinical conditions for epidemiological research. We aimed to determine the diagnostic agreement and factors associated with a clinician-assigned stroke diagnosis in a national registry and the ICD-10-AM codes recorded in government-held administrative data. MATERIALS AND METHODS: Data from 39 hospitals (2009-2013) participating in the Australian Stroke Clinical Registry (AuSCR) were linked and merged with person-level administrative data. The AuSCR clinician-assigned stroke diagnosis was the reference standard. Concordance was defined as agreement between the clinician-assigned diagnosis and the ICD-10-AM codes for acute stroke or transient ischemic attack (TIA) (ICD-10-AM codes: I61-I64, G45.9). Multivariable logistic regression was undertaken to assess factors associated with coded diagnostic concordance. RESULTS: A total of 14,716 patient admissions were included (46% female, 63% ischemic, 14% intracerebral hemorrhage [ICH], 18% TIA and 5% unspecified stroke based on the reference standard). Principal ICD-10-AM code concordance was ICH: 76.7%; ischemic stroke: 72.2%; TIA: 80.2%; unspecified stroke: 50.8%. Factors associated with a greater odds of ischemic stroke concordance included: treatment in a stroke unit (adjusted Odds Ratio, aOR:1.58; 95% confidence interval (CI) 1.37, 1.82); length of stay >4 days (aOR:1.30; 95% CI 1.17, 1.45); and discharge destination other than home (Residential care aOR:1.57; 95% CI 1.24, 1.96; Inpatient rehabilitation aOR:1.63; 95% CI 1.43, 1.86). CONCLUSIONS: Diagnostic concordance varied based on stroke type. Future research to improve the quality of coding for stroke should focus on patients not treated in stroke units or with shorter lengths of stay where documentation in medical records may be limited.