Ability of verbal autopsy data to detect deaths due to uncontrolled hyperglycaemia: testing existing methods and development and validation of a novel weighted score
| Autor: | Miles D. Witham, Sarah Blackstock, Amelia C. Crampin, Alisha N. Wade, David Beran, Justine Davies, Graham D. Ogle |
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| Rok vydání: | 2019 |
| Předmět: |
Health informatics
Adult Male medicine.medical_specialty Pediatrics Malawi Adolescent Epidemiology diabetes & endocrinology Hyperglycemia/diagnosis 030209 endocrinology & metabolism Cohort Studies 03 medical and health sciences Young Adult 0302 clinical medicine Cause of Death medicine Humans 030212 general & internal medicine Medical diagnosis Child health informatics ddc:613 Cause of death Original Research Receiver operating characteristic business.industry Infant Reproducibility of Results General Medicine Middle Aged Verbal autopsy Hyperglycemia/mortality 3. Good health Computer algorithm Diabetes and Endocrinology Weighted score Child Preschool Hyperglycemia Female epidemiology Diabetes & endocrinology Autopsy business Kappa Algorithms |
| Zdroj: | BMJ Open BMJ Open, Vol. 9, No 10 (2019) P. e026331 |
| ISSN: | 2044-6055 |
| Popis: | ObjectivesVerbal autopsy (VA) is a useful tool to ascertain cause of death where no other mechanisms exist. We aimed to assess the utility of VA data to ascertain deaths due to uncontrolled hyperglycaemia and to develop a weighted score (WS) to specifically identify cases. Cases were identified by a study or site physician with training in diabetes. These diagnoses were also compared with diagnoses produced by a standard computer algorithm (InterVA-4).SettingThis study was done using VA data from the Health and Demographic Survey sites in Agincourt in rural South Africa. Validation of the WS was done using VA data from Karonga in Malawi.ParticipantsAll deaths from ages 1 to 49 years between 1992 and 2015 and between 2002 and 2016 from Agincourt and Karonga, respectively. There were 8699 relevant deaths in Agincourt and 1663 in Karonga.ResultsOf the Agincourt deaths, there were 77 study physician classified cases and 58 computer algorithm classified cases. Agreement between study physician classified cases and computer algorithm classified cases was poor (Cohen’s kappa 0.14). Our WS produced a receiver operator curve with area under the curve of 0.952 (95% CI 0.920 to 0.985). However, positive predictive value (PPV) was below 50% when the WS was applied to the development set and the score was dominated by the necessity for a premortem diagnosis of diabetes. Independent validation showed the WS performed reasonably against site physician classified cases with sensitivity of 86%, specificity of 99%, PPV of 60% and negative predictive value of 99%.ConclusionOur results suggest that widely used VA methodologies may be missing deaths due to uncontrolled hyperglycaemia. Our WS may offer improved ability to detect deaths due to uncontrolled hyperglycaemia in large populations studies where no other means exist. |
| Databáze: | OpenAIRE |
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